#FactCheck: AI Video made by Pakistan which says they launched a cross-border airstrike on India's Udhampur Airbase

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:

1. 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.
2. 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.
3. 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.

Introduction

Twitter Inc.’s appeal against barring orders for specific accounts issued by the Ministry of Electronics and Information Technology was denied by a single judge on the Karnataka High Court. Twitter Inc. was also given an Rs. 50 lakh fine by Justice Krishna Dixit, who claimed the social media corporation had approached the court defying government directives.

As a foreign corporation, Twitter’s locus standi had been called into doubt by the government, which said they were ineligible to apply Articles 19 and 21 to their situation. Additionally, the government claimed that because Twitter was only designed to serve as an intermediary, there was no “jural relationship” between Twitter and its users.

The Issue

In accordance with Section 69A of the Information Technology Act, the Ministry issued the directives. Nevertheless, Twitter had argued in its appeal that the orders “fall foul of Section 69A both substantially and procedurally.” Twitter argued that in accordance with 69A, account holders were to be notified before having their tweets and accounts deleted. However, the Ministry failed to provide these account holders with any notices.

On June 4, 2022, and again on June 6, 2022, the government sent letters to Twitter’s compliance officer requesting that they come before them and provide an explanation for why the Blocking Orders were not followed and why no action should be taken against them.

Twitter replied on June 9 that the content against which it had not followed the blocking orders does not seem to be a violation of Section 69A. On June 27, 2022, the Government issued another notice stating Twitter was violating its directions. On June 29, Twitter replied, asking the Government to reconsider the direction on the basis of the doctrine of proportionality. On June 30, 2022, the Government withdrew blocking orders on ten account-level URLs but gave an additional list of 27 URLs to be blocked. On July 10, more accounts were blocked. Compiling the orders “under protest,” Twitter approached the HC with the petition challenging the orders.

Legality

Additionally, the government claimed that because Twitter was only designed to serve as an intermediary, there was no “jural relationship” between Twitter and its users.

Government attorney Additional Solicitor General R Sankaranarayanan argued that tweets mentioning “Indian Occupied Kashmir” and the survival of LTTE commander Velupillai Prabhakaran were serious enough to undermine the integrity of the nation.

Twitter, on the other hand, claimed that its users have pushed for these rights. Additionally, Twitter maintained that under Article 14 of the Constitution, even as a foreign company, they were entitled to certain rights, such as the right to equality. They also argued that the reason for the account blocking in each case was not stated and that Section 69a’s provision for blocking a URL should only apply to the offending URL rather than the entire account because blocking the entire account would prevent the creation of information while blocking the offending tweet only applied to already-created information.

Conclusion

The evolution of cyberspace has been substantiated by big tech companies like Facebook, Google, Twitter, Amazon and many more. These companies have been instrumental in leading the spectrum of emerging technologies and creating a blanket of ease and accessibility for users. Compliance with laws and policies is of utmost priority for the government, and the new bills and policies are empowering the Indian cyberspace. Non Compliance will be taken very seriously, and the same is legalised under the Intermediary Guidelines 2021 and 2022 by Meity. Referring to Section 79 of the Information Technology Act, which pertains to an exemption from liability of intermediary in some instances, it was said, “Intermediary is bound to obey the orders which the designate authority/agency which the government fixes from time to time.”

Executive Summary:

An image has been spread on social media about the truck carrying money and gold coins impounded by Jharkhand Police that also during lok sabha elections in 2024. The Research Wing, CyberPeace has verified the image and found it to be generated using artificial intelligence. There are no credible news articles supporting claims about the police having made such a seizure in Jharkhand. The images were checked using AI image detection tools and proved to be AI made.  It is advised to share any image or content after verifying its authenticity. 

Claims:

The viral social media post depicts a truck intercepted by the Jharkhand Police during the 2024 Lok Sabha elections.  It was claimed that the truck was filled with large amounts of cash and gold coins.

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Fact Check:

On receiving the posts, we started with keyword-search to find any relevant news articles related to this post. If such a big incident really happened it would have been covered by most of the media houses. We found no such similar articles. We have closely analysed the image to find any anomalies that are usually found in AI generated images. And found the same.   

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The texture of the tree in the image is found to be blended. Also, the shadow of the people seems to be odd, which makes it more suspicious and is a common mistake in most of the AI generated images. If we closely look at the right hand of the old man wearing white attire, it is clearly visible that the thumb finger is blended with his apparel. 

We then analysed the image in an AI image detection tool named ‘Hive Detector’. Hive Detector found the image  to be AI-generated.

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To validate the  AI fabrication, we checked with another AI image detection tool named ‘ContentAtScale AI detection’ and it detected the image as 82% AI. Generated.

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After validation of the viral post using AI detection tools, it is apparent that the claim is misleading and fake. 

Conclusion:

The viral image of the truck impounded by Jharkhand Police is found to be fake and misleading. The viral image is found to be AI-generated.  There has been no credible source that can support the claim made. Hence, the claim made is false and misleading. The Research Wing, CyberPeace previously debunked such AI-generated images with misleading claims. Netizens must verify such news that circulates in Social Media with bogus claims before sharing it further. 

• Claim: The photograph shows a truck intercepted by Jharkhand Police during the 2024 Lok Sabha elections, which was allegedly loaded with huge amounts of cash and gold coins.
• Claimed on: Facebook, Instagram, X (Formerly known as Twitter)
• Fact Check: Fake & Misleading

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