G20 Conference on Crime and Security in the Age of NFTs, AI, and Metaverse
Mr. Neeraj Soni
Intern – Policy and Advocacy
PUBLISHED ON
Jul 20, 2023
10
Introduction
Discussions took place focused on cybersecurity measures, specifically addressing cybercrime in the context of emerging technologies such as Non-Fungible Tokens (NFTs), Artificial Intelligence (AI), and the Metaverse. Session 5 of the conference focused on the interconnectedness between the darknet and cryptocurrency and the challenges it poses for law enforcement agencies and regulators. They discussed that Understanding AI is necessary for enterprises. AI models have difficulties, but we are looking forward to trustworthy AIs. and AI technology must be transparent.
Darknet and Cryptocurrency
The darknet refers to the hidden part of the internet where illicit activities have proliferated in recent years. It was initially developed to provide anonymity, privacy, and protection to specific individuals such as journalists, activists, and whistleblowers. However, it has now become a playground for criminal activities. Cryptocurrency, particularly Bitcoin, has been widely adopted on the darknet due to its anonymous nature, enabling anti-money laundering and unlawful transactions.
Three major points emerge from this relationship: the integrated nature of the darknet and cryptocurrency, the need for regulations to prevent darknet-based crimes, and the importance of striking a balance between privacy and security.
Key Challenges:
Integrated Relations: The darknet and cryptocurrency have evolved independently, with different motives and purposes. It is crucial to understand the integrated relationship between them and how criminals exploit this connection.
Regulatory Frameworks: There is a need for effective regulations to prevent crimes facilitated through the darknet and cryptocurrency while striking a balance between privacy and security.
Privacy and Security: Privacy is a fundamental right, and any measures taken to enhance security should not infringe upon individual privacy. A multistakeholder approach involving tech companies and regulators is necessary to find this delicate balance.
Challenges Associated with Cryptocurrency Use:
The use of cryptocurrency on the darknet poses several challenges. The risks associated with darknet-based cryptocurrency crimes are a significant concern. Additionally, regulatory challenges arise due to the decentralised and borderless nature of cryptocurrencies. Mitigating these challenges requires innovative approaches utilising emerging technologies.
Preventing Misuse of Technologies:
The discussion emphasised that we can step ahead of the people who wish to use these beautiful technologies meant and developed for a different purpose, to prevent from using them for crime.
Monitoring the Darknet:
The darknet, as explained, is an elusive part of the internet that necessitates the use of a special browser for access. Initially designed for secure communication by the US government, its purpose has drastically changed over time. The darknet’s evolution has given rise to significant challenges for law enforcement agencies striving to monitor its activities.
Around 95% of the activities carried out on the dark net are associated with criminal acts. Estimates suggest that over 50% of the global cybercrime revenue originates from the dark net. This implies that approximately half of all cybercrimes are facilitated through the darknet.
The exploitation of the darknet has raised concerns regarding the need for effective regulation. Monitoring the darknet is crucial for law enforcement, national agencies, and cybersecurity companies. The challenges associated with the darknet’s exploitation and the criminal activities facilitated by cryptocurrency emphasise the pressing need for regulations to ensure a secure digital landscape.
Use of Cryptocurrency on the Darknet
Cryptocurrency plays a central role in the activities taking place on the darknet. The discussion highlighted its involvement in various illicit practices, including ransomware attacks, terrorist financing, extortion, theft, and the operation of darknet marketplaces. These applications leverage cryptocurrency’s anonymous features to enable illegal transactions and maintain anonymity.
AI's Role in De-Anonymizing the Darknet and Monitoring Challenges:
1.AI’s Potential in De-Anonymizing the Darknet
During the discussion, it was highlighted how AI could be utilised to help in de-anonymizing the darknet. AI’s pattern recognition capabilities can aid in identifying and analysing patterns of behaviour within the darknet, enabling law enforcement agencies and cybersecurity experts to gain insights into its operations. However, there are limitations to what AI can accomplish in this context. AI cannot break encryption or directly associate patterns with specific users, but it can assist in identifying illegal marketplaces and facilitating their takedown. The dynamic nature of the darknet, with new marketplaces quickly emerging, adds further complexity to monitoring efforts.
2.Challenges in Darknet Monitoring
Monitoring the darknet poses various challenges due to its vast amount of data, anonymous and encrypted nature, dynamically evolving landscape, and the need for specialised access. These challenges make it difficult for law enforcement agencies and cybersecurity professionals to effectively track and prevent illicit activities.
3.Possible Ways Forward
To address the challenges, several potential avenues were discussed. Ethical considerations, striking a balance between privacy and security, must be taken into account. Cross-border collaboration, involving the development of relevant laws and policies, can enhance efforts to combat darknet-related crimes. Additionally, education and awareness initiatives, driven by collaboration among law enforcement, government entities, and academia, can play a crucial role in combating darknet activities.
The panel also addressed the questions from the audience
How law enforcement agencies and regulators can use AI to detect and prevent crimes on the darknet and cryptocurrency? The panel answered that- Law enforcement officers should also be AI and technology ready, and that kind of upskilling program should be there in place.
How should lawyers and the judiciary understand the problem and regulate it? The panel answered that AI should only be applied by looking at the outcomes. And Law has to be clear as to what is acceptable and what is not.
Aligning AI with human intention? Whether it’s possible? Whether can we create an ethical AI instead of talking about using AI ethically? The panel answered that we have to understand how to behave ethically. AI can beat any human. We have to learn AI. Step one is to focus on our ethical behaviour. And step two is bringing the ethical aspect to the software and technologies. Aligning AI with human intention and creating ethical AI is a challenge. The focus should be on ethical behaviour both in humans and in the development of AI technologies.
Conclusion
The G20 Conference on Crime and Security shed light on the intertwined relationship between the darknet and cryptocurrency and the challenges it presents to cybersecurity. The discussions emphasised the need for effective regulations, privacy-security balance, AI integration, and cross-border collaboration to tackle the rising cybercrime activities associated with the darknet and cryptocurrency. Addressing these challenges will require the combined efforts of governments, law enforcement agencies, technology companies, and individuals committed to building a safer digital landscape.
The rapid digitization of educational institutions in India has created both opportunities and challenges. While technology has improved access to education and administrative efficiency, it has also exposed institutions to significant cyber threats. This report, published by CyberPeace, examines the types, causes, impacts, and preventive measures related to cyber risks in Indian educational institutions. It highlights global best practices, national strategies, and actionable recommendations to mitigate these threats.
Image: Recent CyberAttack on Eindhoven University
Significance of the Study:
The pandemic-induced shift to online learning, combined with limited cybersecurity budgets, has made educational institutions prime targets for cyberattacks. These threats compromise sensitive student, faculty, and institutional data, leading to operational disruptions, financial losses, and reputational damage. Globally, educational institutions face similar challenges, emphasizing the need for universal and localized responses.
Threat Faced by Education Institutions:
Based on the insights from the CyberPeace’s report titled 'Exploring Cyber Threats and Digital Risks in Indian Educational Institutions', this concise blog provides a comprehensive overview of cybersecurity threats and risks faced by educational institutions, along with essential details to address these challenges.
🎣 Phishing: Phishing is a social engineering tactic where cyber criminals impersonate trusted sources to steal sensitive information, such as login credentials and financial details. It often involves deceptive emails or messages that lead to counterfeit websites, pressuring victims to provide information quickly. Variants include spear phishing, smishing, and vishing.
💰 Ransomware: Ransomware is malware that locks users out of their systems or data until a ransom is paid. It spreads through phishing emails, malvertising, and exploiting vulnerabilities, causing downtime, data leaks, and theft. Ransom demands can range from hundreds to hundreds of thousands of dollars.
🌐 Distributed Denial of Service (DDoS): DDoS attacks overwhelm servers, denying users access to websites and disrupting daily operations, which can hinder students and teachers from accessing learning resources or submitting assignments. These attacks are relatively easy to execute, especially against poorly protected networks, and can be carried out by amateur cybercriminals, including students or staff, seeking to cause disruptions for various reasons
🕵️ Cyber Espionage: Higher education institutions, particularly research-focused universities, are vulnerable to spyware, insider threats, and cyber espionage. Spyware is unauthorized software that collects sensitive information or damages devices. Insider threats arise from negligent or malicious individuals, such as staff or vendors, who misuse their access to steal intellectual property or cause data leaks..
🔒 Data Theft: Data theft is a major threat to educational institutions, which store valuable personal and research information. Cybercriminals may sell this data or use it for extortion, while stealing university research can provide unfair competitive advantages. These attacks can go undetected for long periods, as seen in the University of California, Berkeley breach, where hackers allegedly stole 160,000 medical records over several months.
🛠️ SQL Injection: SQL injection (SQLI) is an attack that uses malicious code to manipulate backend databases, granting unauthorized access to sensitive information like customer details. Successful SQLI attacks can result in data deletion, unauthorized viewing of user lists, or administrative access to the database.
🔍Eavesdropping attack: An eavesdropping breach, or sniffing, is a network attack where cybercriminals steal information from unsecured transmissions between devices. These attacks are hard to detect since they don't cause abnormal data activity. Attackers often use network monitors, like sniffers, to intercept data during transmission.
🤖 AI-Powered Attacks: AI enhances cyber attacks like identity theft, password cracking, and denial-of-service attacks, making them more powerful, efficient, and automated. It can be used to inflict harm, steal information, cause emotional distress, disrupt organizations, and even threaten national security by shutting down services or cutting power to entire regions
Insights from Project eKawach
The CyberPeace Research Wing, in collaboration with SAKEC CyberPeace Center of Excellence (CCoE) and Autobot Infosec Private Limited, conducted a study simulating educational institutions' networks to gather intelligence on cyber threats. As part of the e-Kawach project, a nationwide initiative to strengthen cybersecurity, threat intelligence sensors were deployed to monitor internet traffic and analyze real-time cyber attacks from July 2023 to April 2024, revealing critical insights into the evolving cyber threat landscape.
Cyber Attack Trends
Between July 2023 and April 2024, the e-Kawach network recorded 217,886 cyberattacks from IP addresses worldwide, with a significant portion originating from countries including the United States, China, Germany, South Korea, Brazil, Netherlands, Russia, France, Vietnam, India, Singapore, and Hong Kong. However, attributing these attacks to specific nations or actors is complex, as threat actors often use techniques like exploiting resources from other countries, or employing VPNs and proxies to obscure their true locations, making it difficult to pinpoint the real origin of the attacks.
Brute Force Attack:
The analysis uncovered an extensive use of automated tools in brute force attacks, with 8,337 unique usernames and 54,784 unique passwords identified. Among these, the most frequently targeted username was “root,” which accounted for over 200,000 attempts. Other commonly targeted usernames included: "admin", "test", "user", "oracle", "ubuntu", "guest", "ftpuser", "pi", "support"
Similarly, the study identified several weak passwords commonly targeted by attackers. “123456” was attempted over 3,500 times, followed by “password” with over 2,500 attempts. Other frequently targeted passwords included: "1234", "12345", "12345678", "admin", "123", "root", "test", "raspberry", "admin123", "123456789"
Insights from Threat Landscape Analysis
Research done by the USI - CyberPeace Centre of Excellence (CCoE) and Resecurity has uncovered several breached databases belonging to public, private, and government universities in India, highlighting significant cybersecurity threats in the education sector. The research aims to identify and mitigate cybersecurity risks without harming individuals or assigning blame, based on data available at the time, which may evolve with new information. Institutions were assigned risk ratings that descend from A to F, with most falling under a D rating, indicating numerous security vulnerabilities. Institutions rated D or F are 5.4 times more likely to experience data breaches compared to those rated A or B. Immediate action is recommended to address the identified risks.
Risk Findings :
The risk findings for the institutions are summarized through a pie chart, highlighting factors such as data breaches, dark web activity, botnet activity, and phishing/domain squatting. Data breaches and botnet activity are significantly higher compared to dark web leakages and phishing/domain squatting. The findings show 393,518 instances of data breaches, 339,442 instances of botnet activity, 7,926 instances related to the dark web and phishing & domain activity - 6711.
Key Indicators: Multiple instances of data breaches containing credentials (email/passwords) in plain text.
Botnet activity indicating network hosts compromised by malware.
Credentials from third-party government and non-governmental websites linked to official institutional emails
Details of software applications, drivers installed on compromised hosts.
Sensitive cookie data exfiltrated from various browsers.
IP addresses of compromised systems.
Login credentials for different Android applications.
Below is the sample detail of one of the top educational institutions that provides the insights about the higher rate of data breaches, botnet activity, dark web activities and phishing & domain squatting.
Risk Detection:
It indicates the number of data breaches, network hygiene, dark web activities, botnet activities, cloud security, phishing & domain squatting, media monitoring and miscellaneous risks. In the below example, we are able to see the highest number of data breaches and botnet activities in the sample particular domain.
Risk Changes:
Risk by Categories:
Risk is categorized with factors such as high, medium and low, the risk is at high level for data breaches and botnet activities.
Challenges Faced by Educational Institutions
Educational institutions face cyberattack risks, the challenges leading to cyberattack incidents in educational institutions are as follows:
🔒 Lack of a Security Framework: A key challenge in cybersecurity for educational institutions is the lack of a dedicated framework for higher education. Existing frameworks like ISO 27001, NIST, COBIT, and ITIL are designed for commercial organizations and are often difficult and costly to implement. Consequently, many educational institutions in India do not have a clearly defined cybersecurity framework.
🔑 Diverse User Accounts: Educational institutions manage numerous accounts for staff, students, alumni, and third-party contractors, with high user turnover. The continuous influx of new users makes maintaining account security a challenge, requiring effective systems and comprehensive security training for all users.
📚 Limited Awareness: Cybersecurity awareness among students, parents, teachers, and staff in educational institutions is limited due to the recent and rapid integration of technology. The surge in tech use, accelerated by the pandemic, has outpaced stakeholders' ability to address cybersecurity issues, leaving them unprepared to manage or train others on these challenges.
📱 Increased Use of Personal/Shared Devices: The growing reliance on unvetted personal/Shared devices for academic and administrative activities amplifies security risks.
💬 Lack of Incident Reporting: Educational institutions often neglect reporting cyber incidents, increasing vulnerability to future attacks. It is essential to report all cases, from minor to severe, to strengthen cybersecurity and institutional resilience.
Impact of Cybersecurity Attacks on Educational Institutions
Cybersecurity attacks on educational institutions lead to learning disruptions, financial losses, and data breaches. They also harm the institution's reputation and pose security risks to students. The following are the impacts of cybersecurity attacks on educational institutions:
📚Impact on the Learning Process: A report by the US Government Accountability Office (GAO) found that cyberattacks on school districts resulted in learning losses ranging from three days to three weeks, with recovery times taking between two to nine months.
💸Financial Loss: US schools reported financial losses ranging from $50,000 to $1 million due to expenses like hardware replacement and cybersecurity upgrades, with recovery taking an average of 2 to 9 months.
🔒Data Security Breaches: Cyberattacks exposed sensitive data, including grades, social security numbers, and bullying reports. Accidental breaches were often caused by staff, accounting for 21 out of 25 cases, while intentional breaches by students, comprising 27 out of 52 cases, frequently involved tampering with grades.
⚠️Data Security Breach: Cyberattacks on schools result in breaches of personal information, including grades and social security numbers, causing emotional, physical, and financial harm. These breaches can be intentional or accidental, with a US study showing staff responsible for most accidental breaches (21 out of 25) and students primarily behind intentional breaches (27 out of 52) to change grades.
🏫Impact on Institutional Reputation: Cyberattacks damaged the reputation of educational institutions, eroding trust among students, staff, and families. Negative media coverage and scrutiny impacted staff retention, student admissions, and overall credibility.
🛡️ Impact on Student Safety: Cyberattacks compromised student safety and privacy. For example, breaches like live-streaming school CCTV footage caused severe distress, negatively impacting students' sense of security and mental well-being.
CyberPeace Advisory:
CyberPeace emphasizes the importance of vigilance and proactive measures to address cybersecurity risks:
Develop effective incident response plans: Establish a clear and structured plan to quickly identify, respond to, and recover from cyber threats. Ensure that staff are well-trained and know their roles during an attack to minimize disruption and prevent further damage.
Implement access controls with role-based permissions: Restrict access to sensitive information based on individual roles within the institution. This ensures that only authorized personnel can access certain data, reducing the risk of unauthorized access or data breaches.
Regularly update software and conduct cybersecurity training: Keep all software and systems up-to-date with the latest security patches to close vulnerabilities. Provide ongoing cybersecurity awareness training for students and staff to equip them with the knowledge to prevent attacks, such as phishing.
Ensure regular and secure backups of critical data: Perform regular backups of essential data and store them securely in case of cyber incidents like ransomware. This ensures that, if data is compromised, it can be restored quickly, minimizing downtime.
Adopt multi-factor authentication (MFA): Enforce Multi-Factor Authentication(MFA) for accessing sensitive systems or information to strengthen security. MFA adds an extra layer of protection by requiring users to verify their identity through more than one method, such as a password and a one-time code.
Deploy anti-malware tools: Use advanced anti-malware software to detect, block, and remove malicious programs. This helps protect institutional systems from viruses, ransomware, and other forms of malware that can compromise data security.
Monitor networks using intrusion detection systems (IDS): Implement IDS to monitor network traffic and detect suspicious activity. By identifying threats in real time, institutions can respond quickly to prevent breaches and minimize potential damage.
Conduct penetration testing: Regularly conduct penetration testing to simulate cyberattacks and assess the security of institutional networks. This proactive approach helps identify vulnerabilities before they can be exploited by actual attackers.
Collaborate with cybersecurity firms: Partner with cybersecurity experts to benefit from specialized knowledge and advanced security solutions. Collaboration provides access to the latest technologies, threat intelligence, and best practices to enhance the institution's overall cybersecurity posture.
Share best practices across institutions: Create forums for collaboration among educational institutions to exchange knowledge and strategies for cybersecurity. Sharing successful practices helps build a collective defense against common threats and improves security across the education sector.
Conclusion:
The increasing cyber threats to Indian educational institutions demand immediate attention and action. With vulnerabilities like data breaches, botnet activities, and outdated infrastructure, institutions must prioritize effective cybersecurity measures. By adopting proactive strategies such as regular software updates, multi-factor authentication, and incident response plans, educational institutions can mitigate risks and safeguard sensitive data. Collaborative efforts, awareness, and investment in cybersecurity will be essential to creating a secure digital environment for academia.
Welcome to the second edition of our blog on Digital forensics series. In our previous blog we discussed what digital forensics is, the process followed by the tools, and the subsequent challenges faced in the field. Further, we looked at how the future of Digital Forensics will hold in the current scenario. Today, we will explore differences between 3 particular similar sounding terms that vary significantly in functionality when implemented: Copying, Cloning and Imaging.
In Digital Forensics, the preservation and analysis of electronic evidence are important for investigations and legal proceedings. Replication of the data and devices is one of the fundamental tasks in this domain, without compromising the integrity of the original evidence.
Three primary techniques -- copying, cloning, and imaging -- are used for this purpose. Each technique has its own strengths and is applied according to the needs of the investigation.
In this blog, we will examine the differences between copying, cloning and imaging. We will talk about the importance of each technique, their applications and why imaging is considered the best for forensic investigations.
Copying
Copying means duplicating data or files from one location to another. When one does copying, it implies that one is using standard copy commands. However, when dealing with evidence, it might be hard to use copy only. It is because the standard copy can alter the metadata and change the hidden or deleted data .
The characteristics of copying include:
Speed: copying is simpler and faster,compared to cloning or imaging.
Risk: The risk involved in copying is that the metadata might be altered and all the data might be captured.
Cloning
It is the process where the transfer of the entire contents of a hard drive or a storage device is done on another storage device. This process is known as cloning . This way, the cloning process captures both the active data and the unallocated space and hidden partitions, thus containing the whole structure of the original device. Cloning is generally used at the sector level of the device. Clones can be used as the working copy of a device .
Characteristics of cloning:
bit-for-bit replication: cloning keeps the exact content and the whole structure of the original device.
Use cases: cloning is used when it is needed to keep the original device intact for further examination or a legal affair.
Time consuming: Cloning is usually longer in comparison to simple copying since it involves the whole detailed replication. Though it depends on various factors like the size of the storage device, the speed of the devices involved, and the method of cloning.
Imaging:
It is the process of creating a forensic image of a storage device. A forensic image is a replica copy of every bit of data that was on the source device, this including the allocated, unallocated, and the available slack space .
The image is then used for analysis and investigation, and the original evidence is left untouched. Images can’t be used as the working copies of a device. Unlike cloning, which produces working copies, forensic images are typically used for analysis and investigation purposes and are not intended for regular use as working copies.
Characteristics of Imaging:
Integrity: Imaging ensures the integrity and authenticity of the evidence produced
Flexibility: Forensic image replicas can be mounted as a virtual drive to create image-specific mode for analysis of data without affecting the original evidence .
Metadata: Imaging captures metadata associated with the data, thus promoting forensic analysis.
Key Differences
Purpose: Copying is for everyday use but not good for forensic investigations requiring data integrity. Cloning and imaging are made for forensic preservation.
Depth of Replication: Cloning and imaging captures the entire storage device including hidden, unallocated, and deleted data whereas copying may miss crucial forensic data.
Data Integrity: Imaging and cloning keep the integrity of the original evidence thus making them suitable for legal and forensic use. Which is a critical aspect of forensic investigations.
Forensic Soundness: Imaging is considered the best in digital forensics due to its comprehensive and non-invasive nature.
Cloning is generally from one hard disk to another, where as imaging creates a compressed file that contains a snapshot of the entire hard drive or a specific partitions
Conclusion
Therefore, copying, cloning, and imaging all deal with duplication of data or storage devices with significant variations, especially in digital forensic. However, for forensic investigations, imaging is the most selected approach due to the correct preservation of the evidence state for any analysis or legal use . Therefore, it is essential for forensic investigators to understand these rigorous differences to avail of real and uncontaminated digital evidence for their investigation and legal argument.
As technological advancements continue to shape the future, the rise of artificial intelligence brings with it significant potential benefits, yet also raises concerns about the spread of misinformation. Recognising the need for accountability on both ends, on 5th May, during the three-day World News Media Congress 2025 in Kraków, Poland the European Broadcasting Union (EBU) and the World Association of News Publishers (WAN-IFRA) have announced to the public the five core principles for their joint initiative called News Integrity in the Age of AI. The initiative is aimed at fostering dialogue and cooperation between media organisations and technology platforms, and the principles announced are to be a code of practice to be followed by all those taking part. With thousands of public and private media outlets around the world joining the effort, the initiative highlights the shared responsibility of AI developers to ensure that AI systems are trustworthy, safe, and supportive of a reliable news ecosystem. It represents a global call to action to uphold the integrity of news in this age of major influx and curb the growing challenge of misinformation.
The five core principles released focus on:
1. Authorisation of content by the originators is a must prior to its usage in Generative AI tools and models
2. High-quality and up-to-date news content must be recognised by third parties that are benefiting from it
3. There must be a focus on accuracy and attribution, making the original sources of news apparent to the public, promoting transparency
4. Harnessing the plural nature of the news perspectives, which will help AI-driven tools perform better and
5. An invitation to tech companies for an open dialogue with news outlets, facilitating conversation to collaborate and develop standards of transparency, accuracy, and safety.
As this initiative provides a unified platform to address and deliberate on issues affecting the integrity of news, there are also some other technical ways in which misinformation in news caused by AI can be curbed:
1. Encourage the usage of Smaller Generative AI Models: The Large Language Models (LLMs) have to be trained on a range of topics. Businesses don’t require such an expanse of information but just a little that is relevant. A narrower context of information to be sourced from allows better content navigation and a reduced chance of mix-up.
2. Fighting AI hallucination: This is a phenomenon that causes generative AI (such as chatbots and computer vision tools) to present nonsensical and inaccurate outputs as the system perceives objects or patterns that are imperceptible or non-existent to human observers. This occurs as a result of the system trying to focus on both language fluency and stitching information from different sources together. In order to deal with this, one can deploy retrieval augmented generation (RAG). This enables connection with external sources of data that include academic journals, a company’s organisational data, among other things, that would help in providing more accurate, domain-specific content.
Conclusion
This global call to action marks an important step toward fostering unified efforts to combat misinformation. The set of principles introduced is designed to be adaptable, providing a flexible framework that can evolve to address emerging challenges (through dialogue and discussion), including issues like copyright infringement. While AI offers powerful tools to support the news industry, it is essential to emphasise that human oversight remains crucial. These technological advancements are meant to enhance and augment the work of journalists, not replace it, ensuring that the core values of journalism, such as accuracy and integrity, are preserved in the age of AI.
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