#FactCheck: Viral Video of Chandra Arya Speaking Kannada Unrelated to Canadian PM Nomination

Introduction

The Ministry of Electronics and Information Technology ( MeitY) through its Information Security Education & Awareness ( ISEA ) came up with an advisory regarding the growing cases of e-challan fraud. Cybercriminals are exploiting the beliefs of individuals by attracting them into clicking malicious links under the impression of paying traffic fines. Cybercriminals employ sending phishing messages and impersonating official e-challan notifications as a primary method. These messages are crafted in such a way that portrays a sense of urgency, provoking individuals to click on a link for spontaneous payment. For building trust, the messages are deviously created by scammers depicting official communication, which in actuality are fake messages targeting individuals for committing online financial fraud.

Unveiling the E-Challan Scam

Scammers send a text message to your phones that closely resembles e-challan alerts. The text appears from the traffic police, informing the netizens of a traffic violation that requires a fine payment. These messages contain a link and a text message urging the recipient to settle the fine by clicking on the links to make the payment.  Scammers have started trapping innocent individuals through such fake messages. These scammers are creating and sending fake messages that look like traffic challan alert messages. However, it is a completely deceptive and fake message. Such messages contain malicious links to fake website, leading users to visit the fake website and enter their bank account details, or make the payment which ultimately leads to financial loss to victims. Cyber scammers have meticulously copied the format used by the traffic authorities however a close examination can help us spot the trap. The modus operandi of such type of scam is to get the targeted individuals to click on a malicious link for payment of traffic e-challan. Once you click on such malicious payment link to pay for the e-challan the individuals unknowingly will end up paying the cyber criminals instead of the police in a bid to discharge the traffic e-challan.

How to spot a fake E-Challan?

• Verify the Vehicle Number: Make sure that the vehicle number mentioned in the message matches your vehicle’s number. Cross-check this information with your vehicle’s number plate or the smart card ( blue book) issued by the Regional Transport Office ( RTO).
• Verify the E-challan Number: Verify the validity of the e-challan number by logging into the official traffic police website or app. Legitimate e-challans will have a corresponding record that can be cross-checked for authenticity. The challan number can be verified by logging in to the official e-challan website. It is always advisable to Visit the official government website to check if you have actually been fined.
• Inspect the Message Content: Give attention to the language inculcated in the message. Hackers' messages may contain grammatical errors or unusual phrases. For example, cybercriminals might encourage victims to visit the RTO office in person. Trying to build up confidence among the victims. Also, it is important that you do not make such payments in haste. Vehicle owners must check such messages carefully before clicking on any link.

Best Practices to Stay Safe

• Be aware of unbidden messages: Be cautious when you receive unsolicited e- challan notifications. Abstain yourself by clicking on links or downloading attachments from unknown sources. 
• Always stick to legitimate or official websites: The scammers use links which look similar to the official link, and a casual glance can miss the difference. Hence it is strictly advisable to visit the official websites only. Also do note that government websites will always have the domain '.gov.in'.  The official website of Traffic Challan is https://echallan.parivahan.gov.in/ 
• Get it cross-checked through official channels: Always cross-check the authenticity of an e-challan by directly accessing official channels, such as the official traffic police website or application. 
• Connect with the RTO directly: If in doubt, independently connect with the Regional Transport Office ( RTO) using official contact details to verify the authenticity of the e-challan.  It is best not to solely rely on information received from suspicious messages. 
• Software update: Make sure that your device’s security software is up to date to protect against malware and phishing scams.

Conclusion:

Cybercriminals are exploiting the fear of traffic fines to trick individuals into clicking on malicious links and revealing their personal and financial information. These scams can lead to significant financial losses for the victims. To stay safe, it is important to be cautious of unsolicited messages, verify the authenticity of e-challans through official channels, and avoid clicking on links or downloading attachments from unknown sources. Awareness is the first line of defence in the evolving landscape of online threats. 

References:

• https://economictimes.indiatimes.com/news/new-updates/ahmedabad-residents-duped-out-of-lakhs-in-e-challan-scam-cops-arrest-jharkhand-man/articleshow/103528317.cms
• https://economictimes.indiatimes.com/wealth/save/new-traffic-e-challan-fraud-heres-how-to-identify-scam-messages-and-avoid-getting-duped/articleshow/104960817.cms
• https://www.ndtv.com/india-news/explained-the-new-e-challan-scam-how-we-can-escape-it-4342129

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Introduction:

With the rapid advancement in technologies, vehicles are also being transformed into moving data centre. There is an introduction of connectivity, driver assistance systems, advanced software systems, automated systems and other modern technologies are being deployed to make the experience of users more advanced and joyful. Software plays an important role in the overall functionality and convenience of the vehicle. For example, Advanced technologies like keyless entry and voice assistance, censor cameras and communication technologies are being incorporated into modern vehicles. Addressing the cyber security concerns in the vehicles the Ministry of Road Transport and Highways (MoRTH) has proposed standard Cyber Security and Management Systems (CSMS) rules for specific categories of four-wheelers, including both passenger and commercial vehicles. The goal is to protect these vehicles and their functions against cyber-attacks or vulnerabilities. This move will aim to ensure standardized cybersecurity measures in the automotive industry. These proposed standards will put forth certain responsibilities on the vehicle manufacturers to implement suitable and proportional measures to secure dedicated environments and to take steps to ensure cyber security. 

The New Mandate

The new set of standards requires automobile manufacturers to install a new cybersecurity management system, which will be inclusive of protection against several cyberattacks on the vehicle’s autonomous driving functions, electronic control unit, connected functions, and infotainment systems. The proposed automotive industry standards aim to fortify vehicles against cyberattacks. These standards, expected to be notified by early next month, will apply to all M and N category vehicles. This includes passenger vehicles, goods carriers, and even tractors if they possess even a single electronic control unit. The need for enhanced cybersecurity in the automotive sector is palpable. Modern vehicles, equipped with advanced technologies, are highly prone to cyberattacks. The Ministry of Road Transport and Highways has thus taken a precautionary measure to safeguard all new-age commercial and private vehicles against cyber threats and vulnerabilities.

Cyber Security and Management Systems (CSMS)

The proposed standards by the Ministry of Road Transport and Highways (MoRTH) clarify that CSMS refers to a systematic risk-based strategy that defines organisational procedures, roles, and governance to manage and mitigate risks connected with cyber threats to vehicles, eventually safeguarding them from cyberattacks. According to the draft regulations, all manufacturers will be required to install a cyber security management system in their vehicles and provide the government with a certificate of compliance at the time of vehicle type certification.

Electrical vehicle charging system

Electric vehicle charging stations could also be susceptible and prone to cyber threats and vulnerabilities, which significantly requires to have in place standards to prevent them. It is highlighted that the Indian Computer Emergency Response Team (CERT-In), a designated authority to track and monitor cybersecurity incidents in India, had received reports of vulnerabilities in products and applications related to electric vehicle charging stations. Electric cars or vehicles becoming increasingly popular as the world shifts to green technology. EV owners may charge their cars at charging points in convenient spots. When you charge an EV at a charging station, data transfers between the car, the charging station, and the company that owns the device. This trail of data sharing and EV charging stations in many ways can be exploited by the bad actors. Some of the threats may include Malware, remote manipulation, and disturbing charging stations, social engineering attacks, compromised aftermarket devices etc.

Conclusion

Cyber security is necessary in view of the increased connectivity and use of software systems and other modern technologies in vehicles. As the automotive industry continues to adopt advanced technologies, it will become increasingly important that organizations take a proactive approach to ensure cybersecurity in the vehicles. A balanced approach between technology innovation and security measures will be instrumental in ensuring the cybersecurity aspect in the automotive industry. The recent proposed policy standard by the Ministry of Road Transport and Highways (MoRTH) can be seen as a commendable step to make the automotive industry cyber-resilient and safe for everyone.

References:

• https://economictimes.indiatimes.com/news/india/road-transport-ministry-proposes-uniform-cyber-security-system-for-four-wheelers/articleshow/105187952.cms
• https://www.financialexpress.com/business/express-mobility-cybersecurity-in-the-autonomous-vehicle-the-next-frontier-in-mobility-3234055/
• https://www.gktoday.in/morth-proposes-uniform-cyber-security-standards-for-four-wheelers/
• https://cybersecurity.att.com/blogs/security-essentials/the-top-8-cybersecurity-threats-facing-the-automotive-industry-heading-into-2023

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Introduction

Misinformation is a major issue in the AI age, exacerbated by the broad adoption of AI technologies. The misuse of deepfakes, bots, and content-generating algorithms have made it simpler for bad actors to propagate misinformation on a large scale. These technologies are capable of creating manipulative audio/video content, propagate political propaganda, defame individuals, or incite societal unrest. AI-powered bots may flood internet platforms with false information, swaying public opinion in subtle ways. The spread of misinformation endangers democracy, public health, and social order. It has the potential to affect voter sentiments, erode faith in the election process, and even spark violence. Addressing misinformation includes expanding digital literacy, strengthening platform detection capabilities, incorporating regulatory checks, and removing incorrect information.

AI's Role in Misinformation Creation

AI's growth in its capabilities to generate content have grown exponentially in recent years. Legitimate uses or purposes of AI many-a-times take a backseat and result in the exploitation of content that already exists on the internet. One of the main examples of misinformation flooding the internet is when AI-powered bots flood social media platforms with fake news at a scale and speed that makes it impossible for humans to track and figure out whether the same is true or false.

The netizens in India are greatly influenced by viral content on social media. AI-generated misinformation can have particularly negative consequences. Being literate in the traditional sense of the word does not automatically guarantee one the ability to parse through the nuances of social media content authenticity and impact. Literacy, be it social media literacy or internet literacy, is under attack and one of the main contributors to this is the rampant rise of AI-generated misinformation. Some of the most common examples of misinformation that can be found are related to elections, public health, and communal issues. These issues have one common factor that connects them, which is that they evoke strong emotions in people and as such can go viral very quickly and influence social behaviour, to the extent that they may lead to social unrest, political instability and even violence. Such developments lead to public mistrust in the authorities and institutions, which is dangerous in any economy, but even more so in a country like India which is home to a very large population comprising a diverse range of identity groups. 

Misinformation and Gen AI

Generative AI (GAI) is a powerful tool that allows individuals to create massive amounts of realistic-seeming content, including imitating real people's voices and creating photos and videos that are indistinguishable from reality. Advanced deepfake technology blurs the line between authentic and fake. However, when used smartly, GAI is also capable of providing a greater number of content consumers with trustworthy information, counteracting misinformation. 

Generative AI (GAI) is a technology that has entered the realm of autonomous content production and language creation, which is linked to the issue of misinformation. It is often difficult to determine if content originates from humans or machines and if we can trust what we read, see, or hear. This has led to media users becoming more confused about their relationship with media platforms and content and highlighted the need for a change in traditional journalistic principles.

We have seen a number of different examples of GAI in action in recent times, from fully AI-generated fake news websites to fake Joe Biden robocalls telling the Democrats in the U.S. not to vote. The consequences of such content and the impact it could have on life as we know it are almost too vast to even comprehend at present. If our ability to identify reality is quickly fading, how will we make critical decisions or navigate the digital landscape safely? As such, the safe and ethical use and applications of this technology needs to be a top global priority. 

Challenges for Policymakers

AI's ability to generate anonymous content makes it difficult to hold perpetrators accountable due to the massive amount of data generated. The decentralised nature of the internet further complicates regulation efforts, as misinformation can spread across multiple platforms and jurisdictions. Balancing the need to protect the freedom of speech and expression with the need to combat misinformation is a challenge. Over-regulation could stifle legitimate discourse, while under-regulation could allow misinformation to propagate unchecked. India's multilingual population adds more layers to already-complex issue, as AI-generated misinformation is tailored to different languages and cultural contexts, making it harder to detect and counter. Therefore, developing strategies catering to the multilingual population is necessary.

Potential Solutions

To effectively combat AI-generated misinformation in India, an approach that is multi-faceted and multi-dimensional is essential. Some potential solutions are as follows:

• Developing a framework that is specific in its application to address AI-generated content. It should include stricter penalties for the originator and spreader and dissemination of fake content in proportionality to its consequences. The framework should establish clear and concise guidelines for social media platforms to ensure that proactive measures are taken to detect and remove AI-generated misinformation.
• Investing in tools that are driven by AI for customised detection and flagging of misinformation in real time. This can help in identifying deepfakes, manipulated images, and other forms of AI-generated content. 

• The primary aim should be to encourage different collaborations between tech companies, cyber security orgnisations, academic institutions and government agencies to develop solutions for combating misinformation. 
• Digital literacy programs will empower individuals by training them to evaluate online content. Educational programs in schools and communities teach critical thinking and media literacy skills, enabling individuals to better discern between real and fake content.

Conclusion

AI-generated misinformation presents a significant threat to India, and it is safe to say that the risks posed are at scale with the rapid rate at which the nation is developing technologically. As the country moves towards greater digital literacy and unprecedented mobile technology adoption, one must be cognizant of the fact that even a single piece of misinformation can quickly and deeply reach and influence a large portion of the population. Indian policymakers need to rise to the challenge of AI-generated misinformation and counteract it by developing comprehensive strategies that not only focus on regulation and technological innovation but also encourage public education. AI technologies are misused by bad actors to create hyper-realistic fake content including deepfakes and fabricated news stories, which can be extremely hard to distinguish from the truth. The battle against misinformation is complex and ongoing, but by developing and deploying the right policies, tools, digital defense frameworks and other mechanisms, we can navigate these challenges and safeguard the online information landscape.

References:

• https://economictimes.indiatimes.com/news/how-to/how-ai-powered-tools-deepfakes-pose-a-misinformation-challenge-for-internet-users/articleshow/98770592.cms?from=mdr 
• https://www.dw.com/en/india-ai-driven-political-messaging-raises-ethical-dilemma/a-69172400 
• https://pure.rug.nl/ws/portalfiles/portal/975865684/proceedings.pdf#page=62 

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