Protection of your social media accounts

What are Wi-Fi attacks?

Wi-fi is an important area of cyber security and there is no need for physical cable for the network. Wi-Fi has access to a network signal radius everywhere. The devices and systems can have a network without physical access due to Wi-fi. But everything comes with cons and pros, and if we talk about cybersecurity, it has been established that Wi-fi networks are extremely vulnerable to security breaches and it is very easy to be hacked by hackers. Wi-Fi can be accessed by almost every device in the modern day: it can be smartphones, tablets, computers, and laptops. To know whether someone has been tampering with your personal Wi-Fi there are certain signs that can prove it. The first and most important sign is that your internet speed gets slower, as someone else is using your Wi-Fi surf.

Why would anyone hack someone’s Wi-Fi network?

Usually, hackers hack the network because they want access to the confidential data of someone and they can observe all the online activities and data that have been sent through a network. An unauthorize hacker will pretty much be able to see everything you do online. Wi-Fi allows hackers o view information on sites. Any financial information which is saved in the browser can be accessed by hackers and they can alter it and can alter the content you see online. And all the information saved in Wi-fi networks can be used by hackers for their own benefit, they can sell it, impersonate you, or even take money out of your bank through Wi-Fi.

Avoiding vulnerable Wi-Fi networks

The first and foremost rule of protection is that you should not use public networks if that network is easily open to you then that is also available to others and from others, and someone can who wishes to use your confidential and sensitive information, can access that.  If you really need to access the public network in an urgent situation, then you must make sure to limit your activities while connected. And avoid accessing your online banking or pages that require login information. Also, a good measure to take as well is to always delete your cookies after using public WIFI.

How To Secure Your Home Wi-Fi Network

Your home’s wireless internet connection is your Wi-Fi network. Typically, a wireless router is used, which broadcasts a signal into the atmosphere. You can connect to the internet using that signal. However, if your network is not password-protected, any nearby device can grab the signal off the air and connect to your internet. The benefit of Wi-Fi? Wireless access to the internet is possible. The negative? Your internet activity, including your personal information, may be visible to neighboring users who connect to your unprotected network. Furthermore, if someone uses your network to conduct a crime or send out unauthorized spam, you might be held accountable.

Wi-Fi or Li-Fi? –

The common consensus is that Li-Fi technology is more secure than Wi-Fi. Li-Fi systems can be made more secure by integrating a variety of security features. Although these qualities might appear when Li-Fi is widely used in the near future, it is already thought to be safer because of a number of security features. Since the connection’s characteristics make it simpler to lock connections, limit access, and track users even in the absence of encryption and other security features, Li-Fi is seen as being safer. Li-Fi systems will be able to support new security protocols, which will not only enable high-speed networking but also open the door for innovative security techniques to strengthen connections.

Conclusion

A hacker can sniff the network packets without having to be in the same building where the network is located. As wireless networks communicate through radio waves, a hacker can easily sniff the network from a nearby location. Most attackers use network sniffing to find the SSID and hack a wireless network.

Any wireless network can theoretically be attacked in a number of different ways. Use of the default SSID or password, WPS pin authentication, insufficient access control, and leaving the access point available in open locations are all examples of potential vulnerabilities that could allow for the theft of sensitive data. Kismet’s architecture in WIDS mode may guard against DOS, MiTM, and MAC spoofing attacks. routine software updates on the other hand, the use of firewalls may help defend the network against outside intrusion. The act of finding infrastructure issues that could allow harmful code to be injected into a service, system, or organization is known as ethical hacking. They use this technique to prevent invasions by lawfully breaking into networks and looking for weak spots.

Introduction

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India is seeing a major change due to the introduction of Artificial Intelligence (AI) across all sectors of government, business, and the digital economy with regard to areas such as governance, healthcare, finance, and the infrastructure. The large scale and rapid pace of AI implementation are expected to lead to efficiency gains, innovations in products and services, and to drive economic growth; however, the growth of AI also creates many serious concerns regarding ethics, legality, and societal ramifications. Issues such as algorithmic bias in the use of algorithms by AI, a lack of transparency in decision-making algorithms, data protection risks resulting from AI employments, and unclear frameworks for determining accountability for AI-related action; bring issues of how we will govern AI in a responsible manner to the forefront of public policy discourse.

India wants to become an AI superpower and leader in technology on the world stage. As such, India has a dual responsibility to fuel innovation without discounting democratic ideals, human rights, and public trust. UNESCO's AI Readiness Assessment Methodology (RAM) is a global tool for AI governance, created to provide concrete policy guidance on how to make ethical AI a reality. The India AI RAM Report is set to be formally released by UNESCO during the India AI Impact Summit 2026, taking place in New Delhi, as a major milestone in India's developing AI governance journey.

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What is UNESCO’s AI Readiness Assessment Methodology (RAM)?

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UNESCO has created a simple yet effective tool, called the AI Readiness Assessment Methodology (RAM), that can assist governments in determining how well they are prepared to develop, deploy and manage Artificial Intelligence ethically, responsibly and trustworthily. RAM provides a framework for diagnosing and self-assessing the state of a country’s ability to govern AI on the basis of evidence-based decision making rather than serving as a regulatory framework or ranking system.

The most important goal of RAM is to assess a country’s overall state of readiness to govern AI based on four dimensions: institutionally, legally, socially and technologically. In doing so, RAM examines how institutions function, their maturity level and the extent to which various policies align with one another; thereby giving governments an overview of strengths, weaknesses and priorities for reform.

Unlike other frameworks, RAM does not prescribe any one-size-fits-all solutions; instead, it uses a context sensitive approach when implementing the concepts of AI governance due to differing national realities, developmental priorities and social/economic conditions. Using the ethical principles established by UNESCO, RAM converts these principles into practical actions that can guide countries in their transition from abstract commitments to concrete strategies for governing AI.

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Key Dimensions Assessed Under RAM

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UNESCO's AI Readiness Assessment Methodology (RAM) is a tool used to assess a country's readiness to implement ethical Artificial Intelligence through five interconnected dimensions. These include: the legal and regulatory dimension (which looks at the laws, rules, and safeguards that are currently in place related to AI), the social and cultural dimension (which looks at whether the public is aware of AI, whether it trusts AI, whether AI is an inclusive experience for all people who use AI and whether AI has affected society in various ways), and the economic dimension (which looks at innovation, participation from industry, and readiness of the market for AI).

Also included in the framework/functionality of the RAM are: scientific and educational dimension (which examines a country’s capacity to conduct serious scientific research, including research activities that prepare persons to be employable in AI jobs); and technological and infrastructure dimension (which examines the availability of data, digital infrastructure, and computing capabilities for AI projects in a country).

All five of these dimensions consider the entirety of the scope of an AI readiness evaluation to ensure that AI Governance is more than just a technical issue; rather, it is a condition of a country’s capacity to generate laws, create policy and maintain social equality in relation to all forms of Artificial Intelligence.

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Methodology and Nationwide Consultative Process

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RAM takes both qualitative and quantitative characteristics together to create an overall understanding of how ready any nation is for AI capabilities. It is designed with flexibility so nations can define their assessments with respect to their own institutional capabilities and development agenda.

Normally, RAM is implemented by an independent expert who is assisted by a national team consisting of various stakeholders. With respect to the RAM process used in India, it was conducted as a national consultation where representatives from across all sectors of society (government, private sector, academia, civil society, and young people) participated in the assessment's creation. This consultation process made sure there were many different viewpoints present, which increased the legitimacy of the assessment results and how relevant they are in each country. The consultation process also yields policy recommendations based on real life governing situations or challenges that are specific to different sectors.

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Institutional Partnerships Behind India’s RAM

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The India RAM Initiative was developed by the UNESCO South Asia Regional Office (as a partner of IndiaAI Mission and the Indian Ministry of Electronics and Information Technology) and implemented by Ikigai Law with the help of The Patrick J. McGovern Foundation. This demonstrated the need for and importance of partnership in developing governance frameworks for Artificial Intelligence (AI). The result of the RAM process is a collaborative effort that includes evidence-based international norm-setting capabilities from around the world; government policies under the guidance of national political leadership; independent legal-technical implementation; input from civil society; all with the goal of empowering (increasing) India's ability to establish and implement both a consistent (i.e., coherent) and comprehensive (i.e., inclusive) AI Governance Framework.

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Significance of the India AI RAM Report and Its Launch

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The India AI RAM Report provides a complete initial assessment of India’s AI ecosystem and includes key insights into AI readiness, governance strengths/weaknesses, and potential opportunities across multiple sectors. It identifies priority areas to promote a responsible and trustworthy AI ecosystem in India.

The report will be officially released during the India AI Impact Summit (February 16, 2026 at Bharat Mandapam, New Delhi) where Mr. Abhishek Venkateswaran (National Project Officer-Social and Human Sciences at UNESCO South Asia) offered additional insight into the consultative process and the overall importance of this launch on India's future AI policy path.

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Policy Relevance and the Road Ahead

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The RAM Framework gives the government a structure and roadmap for developing and implementing AI Governance. In doing this, RAM reinforces the alignment of IndiaAI Mission, which includes safety and trust in AI as one of the pillars. However, the results from this Assessment will not automatically translate to reforming institutions, issuing guidelines specific to sectors, or developing a mechanism for continued evaluation. Implementation will require strong and sustained commitment from political leaders, as well as the commitment of institutions involved in the reforms made possible by RAM's implementation.

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Conclusion

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UNESCO has developed an AI Readiness Assessment Methodology (AI-RAM) that can greatly advance the way India approaches governance with respect to artificial intelligence (AI). By focusing on "readiness" (doing what needs to be done), "responsibility" (being or having good moral principles) and "inclusivity" (including everyone), the AI-RAM will enable India to become an active participant in discussions around ethical use of AI at a global level. India is now positioned to take on a leadership role in the world by adopting this methodology, which provides a platform for establishing global standards for AI development. The real benefit of the AI-RAM will come from policy measures that will ensure future AI development in India is 'human-centered', 'trustworthy' and 'aligns with democratic values'.

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References

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1. https://icaire.org/files/UNESCORam-en.pdf
2. https://www.pib.gov.in/PressReleasePage.aspx?PRID=2134492&reg=3&lang=2 
3. https://www.facebook.com/unesconewdelhi/videos/unesco-is-set-to-launch-the-india-ai-readiness-assessment-methodology-ram-report/25955631820699516/
4. https://www.unesco.org/ethics-ai/en/ram
5. https://www.hindustantimes.com/india-news/unesco-meity-launch-exercise-to-assess-india-s-ai-readiness-101749188341803.html#
6. https://www.manoramayearbook.in/current-affairs/india/2025/06/09/unesco-ai-readiness-assessment-methodology-ram.html

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Disclaimer:

This report is based on extensive research conducted by CyberPeace Research using publicly available information, and advanced analytical techniques. The findings, interpretations, and conclusions presented are based on the data available at the time of study and aim to provide insights into global ransomware trends.

The statistics mentioned in this report are specific to the scope of this research and may vary based on the scope and resources of other third-party studies. Additionally, all data referenced is based on claims made by threat actors and does not imply confirmation of the breach by CyberPeace. CyberPeace includes this detail solely to provide factual transparency and does not condone any unlawful activities. This information is shared only for research purposes and to spread awareness. CyberPeace encourages individuals and organizations to adopt proactive cybersecurity measures to protect against potential threats.

CyberPeace Research does not claim to have identified or attributed specific cyber incidents to any individual, organization, or nation-state beyond the scope of publicly observable activities and available information. All analyses and references are intended for informational and awareness purposes only, without any intention to defame, accuse, or harm any entity.

While every effort has been made to ensure accuracy, CyberPeace Research is not liable for any errors, omissions, subsequent interpretations and any unlawful activities of the findings by third parties. The report is intended to inform and support cybersecurity efforts globally and should be used as a guide to foster proactive measures against cyber threats.

Executive Summary: 

The 2024 ransomware landscape reveals alarming global trends, with 166 Threat Actor Groups leveraging 658 servers/underground resources and mirrors to execute 5,233 claims across 153 countries. Monthly fluctuations in activity indicate strategic, cyclical targeting, with peak periods aligned with vulnerabilities in specific sectors and regions. The United States was the most targeted nation, followed by Canada, the UK, Germany, and other developed countries, with the northwestern hemisphere experiencing the highest concentration of attacks. Business Services and Healthcare bore the brunt of these operations due to their high-value data, alongside targeted industries such as Pharmaceuticals, Mechanical, Metal, Electronics, and Government-related professional firms. Retail, Financial, Technology, and Energy sectors were also significantly impacted.

This research was conducted by CyberPeace Research using a systematic modus operandi, which included advanced OSINT (Open-Source Intelligence) techniques, continuous monitoring of Ransomware Group activities, and data collection from 658 servers and mirrors globally. The team utilized data scraping, pattern analysis, and incident mapping to track trends and identify hotspots of ransomware activity. By integrating real-time data and geographic claims, the research provided a comprehensive view of sectoral and regional impacts, forming the basis for actionable insights.

The findings emphasize the urgent need for proactive Cybersecurity strategies, robust defenses, and global collaboration to counteract the evolving and persistent threats posed by ransomware.

Overview:

This report provides insights into ransomware activities monitored throughout 2024. Data was collected by observing 166 Threat Actor Groups using ransomware technologies across 658 servers/underground resources and mirrors, resulting in 5,233 claims worldwide. The analysis offers a detailed examination of global trends, targeted sectors, and geographical impact.

Top 10 Threat Actor Groups:

The ransomware group ‘ransomhub’ has emerged as the leading threat actor, responsible for 527 incidents worldwide. Following closely are ‘lockbit3’ with 522 incidents and ‘play’ with 351. Other Groups are ‘akira’, ‘hunters’, ‘medusa’, ‘blackbasta’, ‘qilin’, ‘bianlian’, ‘incransom’. These groups usually employ advanced tactics to target critical sectors, highlighting the urgent need for robust cybersecurity measures to mitigate their impact and protect organizations from such threats.

Monthly Ransomware Incidents:

In January 2024, the value began at 284, marking the lowest point on the chart. The trend rose steadily in the subsequent months, reaching its first peak at 557 in May 2024. However, after this peak, the value dropped sharply to 339 in June. A gradual recovery follows, with the value increasing to 446 by August. September sees another decline to 389, but a sharp rise occurs afterward, culminating in the year’s highest point of 645 in November. The year concludes with a slight decline, ending at 498 in December 2024 (till 28th of December).

Top 10 Targeted Countries:

1. The United States consistently topped the list as the primary target probably due to its advanced economic and technological infrastructure.
2. Other heavily targeted nations include Canada, UK, Germany, Italy, France, Brazil, Spain, and India.
3. A total of 153 countries reported ransomware attacks, reflecting the global scale of these cyber threats

Top Affected Sectors:

1. Business Services and Healthcare faced the brunt of ransomware threat due to the sensitive nature of their operations.
2. Specific industries under threats:
   1. Pharmaceutical, Mechanical, Metal, and Electronics industries.
   2. Professional firms within the Government sector.
3. Other sectors:
   1. Retail, Financial, Technology, and Energy sectors were also significant targets.

Geographical Impact:

The continuous and precise OSINT(Open Source Intelligence) work on the platform, performed as a follow-up action to data scraping, allows a complete view of the geography of cyber attacks based on their claims. The northwestern region of the world appears to be the most severely affected by Threat Actor groups. The figure below clearly illustrates the effects of this geographic representation on the map.

Ransomware Threat Trends in India:

In 2024, the research identified 98 ransomware incidents impacting various sectors in India, marking a 55% increase compared to the 63 incidents reported in 2023. This surge highlights a concerning trend, as ransomware groups continue to target India's critical sectors due to its growing digital infrastructure and economic prominence.

Top Threat Actors Group Targeted India:

Among the following threat actors ‘killsec’ is the most frequent threat. ‘lockbit3’  follows as the second most prominent threat, with significant but lower activity than killsec. Other groups, such as ‘ransomhub’, ‘darkvault’, and ‘clop’, show moderate activity levels. Entities like ‘bianlian’, ‘apt73/bashe’, and ‘raworld’ have low frequencies, indicating limited activity. Groups such as ‘aps’ and ‘akira’ have the lowest representation, indicating minimal activity. The chart highlights a clear disparity in activity levels among these threats, emphasizing the need for targeted cybersecurity strategies.

Top Impacted Sectors in India:

The pie chart illustrates the distribution of incidents across various sectors, highlighting that the industrial sector is the most frequently targeted, accounting for 75% of the total incidents. This is followed by the healthcare sector, which represents 12% of the incidents, making it the second most affected. The finance sector accounts for 10% of the incidents, reflecting a moderate level of targeting. In contrast, the government sector experiences the least impact, with only 3% of the incidents, indicating minimal targeting compared to the other sectors. This distribution underscores the critical need for enhanced cybersecurity measures, particularly in the industrial sector, while also addressing vulnerabilities in healthcare, finance, and government domains.

Month Wise Incident Trends in India:

The chart indicates a fluctuating trend with notable peaks in May and October, suggesting potential periods of heightened activity or incidents during these months. The data starts at 5 in January and drops to its lowest point, 2, in February. It then gradually increases to 6 in March and April, followed by a sharp rise to 14 in May. After peaking in May, the metric significantly declines to 4 in June but starts to rise again, reaching 7 in July and 8 in August. September sees a slight dip to 5 before the metric spikes dramatically to its highest value, 24, in October. Following this peak, the count decreases to 10 in November and then drops further to 7 in December.

CyberPeace Advisory:

1. Implement Data Backup and Recovery Plans: Backups are your safety net. Regularly saving copies of your important data ensures you can bounce back quickly if ransomware strikes. Make sure these backups are stored securely—either offline or in a trusted cloud service—to avoid losing valuable information or facing extended downtime.  
2. Enhance Employee Awareness and Training: People often unintentionally open the door to ransomware. By training your team to spot phishing emails, social engineering tricks, and other scams, you empower them to be your first line of defense against attacks.  
3. Adopt Multi-Factor Authentication (MFA): Think of MFA as locking your door and adding a deadbolt. Even if attackers get hold of your password, they’ll still need that second layer of verification to break in. It’s an easy and powerful way to block unauthorized access.  
4. Utilize Advanced Threat Detection Tools: Smart tools can make a world of difference. AI-powered systems and behavior-based monitoring can catch ransomware activity early, giving you a chance to stop it in its tracks before it causes real damage.  
5. Conduct Regular Vulnerability Assessments: You can’t fix what you don’t know is broken. Regularly checking for vulnerabilities in your systems helps you identify weak spots. By addressing these issues proactively, you can stay one step ahead of attackers.

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Conclusion:

The 2024 ransomware landscape reveals the critical need for proactive cybersecurity strategies. High-value sectors and technologically advanced regions remain the primary targets, emphasizing the importance of robust defenses. As we move into 2025, it is crucial to anticipate the evolution of ransomware tactics and adopt forward-looking measures to address emerging threats. 

Global collaboration, continuous innovation in cybersecurity technologies, and adaptive strategies will be imperative to counteract the persistent and evolving threats posed by ransomware activities. Organizations and governments must prioritize preparedness and resilience, ensuring that lessons learned in 2024 are applied to strengthen defenses and minimize vulnerabilities in the year ahead.

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