#FactCheck - Deepfake Video Falsely Links Shah Rukh Khan to Rajpal Yadav Case

Introduction

Deepfake technology, which combines the words "deep learning" and "fake," uses highly developed artificial intelligence—specifically, generative adversarial networks (GANs)—to produce computer-generated content that is remarkably lifelike, including audio and video recordings. Because it can provide credible false information, there are concerns about its misuse, including identity theft and the transmission of fake information. Cybercriminals leverage AI tools and technologies for malicious activities or for committing various cyber frauds. By such misuse of advanced technologies such as AI, deepfake, and voice clones. Such new cyber threats have emerged. 

India Topmost destination for deepfake attacks

According to Sumsub’s identity fraud report 2023, a well-known digital identity verification company with headquarters in the UK. India, Bangladesh, and Pakistan have become an important participants in the Asia-Pacific identity fraud scene with India’s fraud rate growing exponentially by 2.99% from 2022 to 2023. They are among the top ten nations most impacted by the use of deepfake technology. Deepfake technology is being used in a significant number of cybercrimes, according to the newly released Sumsub Identity Fraud Report for 2023, and this trend is expected to continue in the upcoming year. This highlights the need for increased cybersecurity awareness and safeguards as identity fraud poses an increasing concern in the area. 

How Deeepfake Works 

Deepfakes are a fascinating and worrisome phenomenon that have emerged in the modern digital landscape. These realistic-looking but wholly artificial videos have become quite popular in the last few months. Such realistic-looking, but wholly artificial, movies have been ingrained in the very fabric of our digital civilisation as we navigate its vast landscape. The consequences are enormous and the attraction is irresistible.  

Deep Learning Algorithms

Deepfakes examine large datasets, frequently pictures or videos of a target person, using deep learning techniques, especially Generative Adversarial Networks. By mimicking and learning from gestures, speech patterns, and facial expressions, these algorithms can extract valuable information from the data. By using sophisticated approaches, generative models create material that mixes seamlessly with the target context. Misuse of this technology, including the dissemination of false information, is a worry. Sophisticated detection techniques are becoming more and more necessary to separate real content from modified content as deepfake capabilities improve.

Generative Adversarial Networks

Deepfake technology is based on GANs, which use a dual-network design. Made up of a discriminator and a generator, they participate in an ongoing cycle of competition. The discriminator assesses how authentic the generated information is, whereas the generator aims to create fake material, such as realistic voice patterns or facial expressions. The process of creating and evaluating continuously leads to a persistent improvement in Deepfake's effectiveness over time. The whole deepfake production process gets better over time as the discriminator adjusts to become more perceptive and the generator adapts to produce more and more convincing content. 

 Effect on Community

The extensive use of Deepfake technology has serious ramifications for several industries. As technology develops, immediate action is required to appropriately manage its effects. And promoting ethical use of technologies. This includes strict laws and technological safeguards. Deepfakes are computer trickery that mimics prominent politicians' statements or videos. Thus, it's a serious issue since it has the potential to spread instability and make it difficult for the public to understand the true nature of politics. Deepfake technology has the potential to generate totally new characters or bring stars back to life for posthumous roles in the entertainment industry. It gets harder and harder to tell fake content from authentic content, which makes it simpler for hackers to trick people and businesses.

Ongoing Deepfake Assaults In India

Deepfake videos continue to target popular celebrities, Priyanka Chopra is the most recent victim of this unsettling trend. Priyanka's deepfake adopts a different strategy than other examples including actresses like Rashmika Mandanna, Katrina Kaif, Kajol, and Alia Bhatt. Rather than editing her face in contentious situations, the misleading film keeps her look the same but modifies her voice and replaces real interview quotes with made-up commercial phrases. The deceptive video shows Priyanka promoting a product and talking about her yearly salary, highlighting the worrying development of deepfake technology and its possible effects on prominent personalities.

Actions Considered by Authorities

A PIL was filed requesting the Delhi High Court that access to websites that produce deepfakes be blocked. The petitioner's attorney argued in court that the government should at the very least establish some guidelines to hold individuals accountable for their misuse of deepfake and AI technology. He also proposed that websites should be asked to identify information produced through AI as such and that they should be prevented from producing illegally. A division bench highlighted how complicated the problem is and suggested the government (Centre) to arrive at a balanced solution without infringing the right to freedom of speech and expression (internet).  

Information Technology Minister Ashwini Vaishnaw stated that new laws and guidelines would be implemented by the government to curb the dissemination of deepfake content. He presided over a meeting involving social media companies to talk about the problem of deepfakes. "We will begin drafting regulation immediately, and soon, we are going to have a fresh set of regulations for deepfakes. this might come in the way of amending the current framework or ushering in new rules, or a new law," he stated.

Prevention and Detection Techniques

To effectively combat the growing threat posed by the misuse of deepfake technology, people and institutions should place a high priority on developing critical thinking abilities, carefully examining visual and auditory cues for discrepancies, making use of tools like reverse image searches, keeping up with the latest developments in deepfake trends, and rigorously fact-check reputable media sources. Important actions to improve resistance against deepfake threats include putting in place strong security policies, integrating cutting-edge deepfake detection technologies, supporting the development of ethical AI, and encouraging candid communication and cooperation. We can all work together to effectively and mindfully manage the problems presented by deepfake technology by combining these tactics and adjusting the constantly changing terrain.

Conclusion

Advanced artificial intelligence-powered deepfake technology produces extraordinarily lifelike computer-generated information, raising both creative and moral questions. Misuse of tech or deepfake presents major difficulties such as identity theft and the propagation of misleading information, as demonstrated by examples in India, such as the latest deepfake video involving Priyanka Chopra. It is important to develop critical thinking abilities, use detection strategies including analyzing audio quality and facial expressions, and keep up with current trends in order to counter this danger. A thorough strategy that incorporates fact-checking, preventative tactics, and awareness-raising is necessary to protect against the negative effects of deepfake technology. Important actions to improve resistance against deepfake threats include putting in place strong security policies, integrating cutting-edge deepfake detection technologies, supporting the development of ethical AI, and encouraging candid communication and cooperation. We can all work together to effectively and mindfully manage the problems presented by deepfake technology by combining these tactics and making adjustments to the constantly changing terrain. Creating a true cyber-safe environment for netizens. 

References:

• https://yourstory.com/2023/11/unveiling-deepfake-technology-impact
• https://www.indiatoday.in/movies/celebrities/story/deepfake-alert-priyanka-chopra-falls-prey-after-rashmika-mandanna-katrina-kaif-and-alia-bhatt-2472293-2023-12-05
• https://www.csoonline.com/article/1251094/deepfakes-emerge-as-a-top-security-threat-ahead-of-the-2024-us-election.html
• https://timesofindia.indiatimes.com/city/delhi/hc-unwilling-to-step-in-to-curb-deepfakes-delhi-high-court/articleshow/105739942.cms
• https://www.indiatoday.in/india/story/india-among-top-targets-of-deepfake-identity-fraud-2472241-2023-12-05
• https://sumsub.com/fraud-report-2023/

Introduction

Have you ever wondered how the internet works? Yes, there are screens and wires, but what’s going on beneath the surface? Every time you open a website, send an email, chat on messaging apps, or stream movies, you’re relying on something you probably don’t think about: the TCP/IP protocol suite. Without it, the internet as we know it wouldn’t exist. Let’s take a look at why this unassuming set of rules allows us to connect to anyone anywhere in the world. 

The Problem: Networks That Couldn't Talk to Each Other

The internet is widely called a network of networks. A network is a group of devices that are connected and can share data with each other. 

Researchers and governments began building early computer networks in the 1960s and 70s. But as the Cold War intensified, the U.S. military felt the need to establish a robust data-sharing infrastructure through interconnected networks that could withstand attacks. At the time, each network had different standards and protocols, which meant getting networks to communicate wasn’t easy or efficient. One network would have to be subsumed into another. This would lead to major problems in the reliability of data relay, flexibility of including more nodes, scalability of the interconnected network, and innovation.

The Breakthrough: Open Architecture Networking

This changed in the 1970s, when Bob Kahn proposed the concept of open architecture networking. It was a simple but revolutionary idea. He envisioned a system where all networks could talk to each other as equals. In this conceptualisation, all networks, even though unique in design and interface, could connect as peers to facilitate end-to-end communication. End-to-end communication helps deliver data between the source and destination without relying on intermediate nodes to control or modify it. This helps to make data relay more reliable and less prone to errors. 

Along with Vint Cerf, he developed a network protocol, the TCP/IP suite, that would go on to enable different networks across satellite, wired, and non-wired domains to communicate with one another.  

What Is TCP/IP?

TCP/IP stands for Transmission Control Protocol / Internet Protocol. It’s a set of communication rules that allow computers and devices to exchange information across different networks. 

It’s powerful because: 

• Layered and open architecture: Each function (like data delivery or routing) is handled by a specific layer. This modular design makes it easy to build new technologies like the World Wide Web or streaming services on top of it.
• Decentralisation: There's no single point of control. Any device can connect to another across the internet, making it scalable and resilient.
• Standardisation: TCP/IP works across all kinds of hardware and operating systems, making it truly universal. 

The Core Components

• TCP (Transmission Control Protocol): Ensures that data is delivered accurately and in order. If any piece is lost or duplicated, TCP handles it.
• IP (Internet Protocol): Handles addressing and routing. It decides where each packet of data should go and how it gets there.
• UDP (User Datagram Protocol): A lightweight version of TCP, used when speed is more important than accuracy, such as for video calls or online gaming.

Why It Matters

The TCP/IP protocol suite introduced a set of standardised guidelines that enable networks to communicate, thereby laying the foundation of the Internet. It has made the Internet global, open, reliable, interoperable, scalable, and resilient, — features because of which the Internet has come to become the backbone of modern communication systems. So the next time you open a browser or send a message, remember: it’s TCP/IP quietly making it all possible.

References

• https://www.techtarget.com/searchnetworking/definition/ARPANET
• https://www.internetsociety.org/internet/history-internet/brief-history-internet/ 
• https://www.geeksforgeeks.org/tcp-ip-model/ 
• https://www.oreilly.com/library/view/tcpip-network-administration/0596002971/ch01.html 

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Executive Summary:

A post on X (formerly Twitter) featuring an image that has been widely shared with misleading captions, claiming to show men riding an elephant next to a tiger in Bihar, India. This post has sparked both fascination and skepticism on social media. However, our investigation has revealed that the image is misleading. It is not a recent photograph; rather, it is a photo of an incident from 2011. Always verify claims before sharing.

Claims:

An image purporting to depict men riding an elephant next to a tiger in Bihar has gone viral, implying that this astonishing event truly took place.

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Fact Check:

After investigation of the viral image using Reverse Image Search shows that it comes from an older video. The footage shows a tiger that was shot after it became a man-eater by forest guard. The tiger killed six people and caused panic in local villages in the Ramnagar division of Uttarakhand in January, 2011. 

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Before sharing viral posts, take a brief moment to verify the facts. Misinformation spreads quickly and it’s far better to rely on trusted fact-checking sources.

Conclusion:

The claim that men rode an elephant alongside a tiger in Bihar is false. The photo presented as recent actually originates from the past and does not depict a current event. Social media users should exercise caution and verify sensational claims before sharing them.

• Claim: The video shows people casually interacting with a tiger in Bihar
• Claimed On:Instagram and X (Formerly Known As Twitter)
• Fact Check: False and Misleading

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