#FactCheck - AI Generated Photo Circulating Online Misleads About BARC Building Redesign
Executive Summary:
A photo circulating on the web that claims to show the future design of the Bhabha Atomic Research Center, BARC building, has been found to be fake after fact checking has been done. Nevertheless, there is no official notice or confirmation from BARC on its website or social media handles. Through the AI Content Detection tool, we have discovered that the image is a fake as it was generated by an AI. In short, the viral picture is not the authentic architectural plans drawn up for the BARC building.
Claims:
A photo allegedly representing the new outlook of the Bhabha Atomic Research Center (BARC) building is reigning over social media platforms.
Fact Check:
To begin our investigation, we surfed the BARC's official website to check out their tender and NITs notifications to inquire for new constructions or renovations.
It was a pity that there was no corresponding information on what was being claimed.
Then, we hopped on their official social media pages and searched for any latest updates on an innovative building construction, if any. We looked on Facebook, Instagram and X . Again, there was no information about the supposed blueprint. To validate the fact that the viral image could be generated by AI, we gave a search on an AI Content Detection tool by Hive that is called ‘AI Classifier’. The tool's analysis was in congruence with the image being an AI-generated computer-made one with 100% accuracy.
To be sure, we also used another AI-image detection tool called, “isitai?” and it turned out to be 98.74% AI generated.
Conclusion:
To conclude, the statement about the image being the new BARC building is fake and misleading. A detailed investigation, examining BARC's authorities and utilizing AI detection tools, proved that the picture is more probable an AI-generated one than an original architectural design. BARC has not given any information nor announced anything for such a plan. This makes the statement untrustworthy since there is no credible source to support it.
Claim: Many social media users claim to show the new design of the BARC building.
Claimed on: X, Facebook
Fact Check: Misleading
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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.
Executive Summary
A photograph showing Union Education Minister Dharmendra Pradhan standing with a woman is being widely circulated on social media. Users are falsely claiming that the woman in the image is Manisha Mandhare, a teacher allegedly arrested in the NEET-UG paper leak case. CyberPeace Research Wing research confirms that the woman in the viral photograph is Dr. Nivedita Ekbote and not Manisha Mandhare. Social media users are falsely misidentifying her and linking her to the NEET paper leak case without evidence.
Claim
Several social media users, including Facebook and Instagram pages, have shared the image claiming that the woman seen with the Union Minister is Manisha Mandhare, who was arrested in connection with the NEET paper leak case.
- https://www.facebook.com/Sri.Media.Kannada/posts/pfbid0pCuJrhcz3mcf8MzYci4oWXaTKvaJYNjCtGo34Z6R9ztshWqs3QUupyHNu2K4Rodpl?rdid=WtnRhDM22ftHT9oe
- https://archive.is/uwmsj
Fact Check
A reverse image search of the viral photograph reveals that the woman is actually Dr. Nivedita Ekbote, Principal of Modern College and Vice President of the Bharatiya Janata Yuva Morcha in Maharashtra. Nivedita Ekbote originally shared this photograph on December 18, 2024, across her official social media accounts on X (formerly Twitter), Facebook, and Instagram. According to the caption, the image was taken during the Pune Book Festival, where she met the Union Education Minister along with her parents.
In a public clarification, she stated that her photograph was being misused online. She added that the image was taken at a public event with several dignitaries and strongly condemned the circulation of false and misleading claims using it.
- https://x.com/EkboteNivedita/status/2056265520765399049?s=20
Further verification from credible news reports confirms that Manisha Mandhare, who is linked to the NEET paper leak case, is a senior botany teacher from Pune. She was reportedly appointed as a subject expert by the National Testing Agency (NTA) for NEET-related processes. Her identity is completely different from the woman seen in the viral image.
Conclusion
The viral claim is completely false and misleading. The woman seen with Union Education Minister Dharmendra Pradhan is Dr. Nivedita Ekbote, and she has no connection to the NEET-UG paper leak case.
Introduction
Since users are now constantly retrieving critical data on their mobile devices, fraudsters are now focusing on these devices. App-based, network-based, and device-based vulnerabilities are the three main ways of attacking that Mobile Endpoint Security names as mobile threats. Composed of the following features: program monitoring and risk, connection privacy and safety, psychological anomaly and reconfiguration recognition, and evaluation of vulnerabilities and management, this is how Gartner describes Mobile Threat Defense (MTD).
The widespread adoption and prevalence of cell phones among consumers worldwide have significantly increased in recent years. Users of these operating system-specific devices can install a wide range of software, or "apps," from online marketplaces like Google Play and the Apple App Store. The applications described above are the lifeblood of cell phones; they improve users' daily lives and augment the devices' performance. The app marketplaces let users quickly search for and install new programs, but certain malicious apps/links/websites can also be the origin of malware hidden among legitimate apps. These days, there are many different security issues and malevolent attacks that might affect mobile devices.
Unveiling Malware Landscape
The word "malware" refers to a comprehensive category of spyware intended to infiltrate networks, steal confidential data, cause disruptions, or grant illegal access. Malware can take many forms, such as Trojan horses, worms, ransomware, infections, spyware, and adware. Because each type has distinct goals and features, security specialists face a complex problem. Malware is a serious risk to both people and businesses. Security incidents, monetary losses, harm to one's credibility, and legal repercussions are possible outcomes. Understanding malware's inner workings is essential to defend against it effectively. Malware analysis is helpful in this situation. The practice of deconstructing and analysing dangerous software to comprehend its behaviour, operation, and consequences is known as malware analysis.Major threats targeting mobile phones
Viruses: Viruses are self-renewing programs that can steal data, launch denial of service assaults, or enact ransomware strikes. They spread by altering other software applications, adding malicious code, and running it on the target's device. Computer systems all over the world are still infected with viruses, which attack different operating systems like Mac and Microsoft Windows, even though there is a wealth of antiviral programs obtainable to mitigate their impacts.
Worms: Infections are independent apps that propagate quickly and carry out payloads—such as file deletion or the creation of botnets—to harm computers. Worms, in contrast to viruses, usually harm a computer system, even if it's just through bandwidth use. By taking advantage of holes in security or other vulnerabilities on the target computer, they spread throughout computer networks.
Ransomware: It causes serious commercial and organisational harm to people and businesses by encrypting data and demanding payment to unlock it. The daily operations of the victim organisation are somewhat disrupted, and they need to pay a ransom to get them back. It is not certain, though, that the financial transaction will be successful or that they will receive a working translation key.
Adware: It can be controlled via notification restrictions or ad-blockers, tracks user activities and delivers unsolicited advertisements. Adware poses concerns to users' privacy even though it's not always malevolent since the information it collects is frequently combined with information gathered from other places and used to build user profiles without their permission or knowledge.
Spyware: It can proliferate via malicious software or authentic software downloads, taking advantage of confidential data. This kind of spyware gathers data on users' actions without their authorisation or agreement, including:Internet activityBanking login credentialsPasswordsPersonally Identifiable Information (PII)
Navigating the Mobile Security Landscape
App-Centric Development: Regarding mobile security, app-centric protections are a crucial area of focus. Application authorisations should be regularly reviewed and adjusted to guarantee that applications only access the knowledge that is essential and to lower the probability of data misuse. Users can limit hazards and have greater oversight over their confidentiality by closely monitoring these settings. Installing trustworthy mobile security apps also adds another line of protection. With capabilities like app analysis, real-time protection, and antivirus scanning, these speciality apps strengthen your gadget's protection against malware and other harmful activity.
Network Security: Setting priorities for secure communication procedures is crucial for safeguarding confidential data and thwarting conceivable dangers in mobile security. Avoiding unprotected public Wi-Fi networks is essential since they may be vulnerable to cyberattacks. To lessen the chance of unwelcome entry and data surveillance, promote the usage of reliable, password-protected networks instead. Furthermore, by encrypting data transfer, Virtual Private Networks (VPNs) provide additional protection and make it more difficult for malevolent actors to corrupt information. To further improve security, avoid using public Wi-Fi for essential transactions and hold off until a secure network is available. Users can strengthen their handheld gadgets against possible privacy breaches by implementing these practices, which can dramatically lower the risk of data eavesdropping and illegal access.
Constant development: Maintaining a robust mobile security approach requires a dedication to constant development. Adopt a proactive stance by continuously improving and modifying your security protocols. By following up on recurring outreach and awareness campaigns, you can stay updated about new hazards. Because cybersecurity is a dynamic field, maintaining one step ahead and utilising emerging technologies is essential. Stay updated with security changes, implement the newest safeguards, and incorporate new industry standard procedures into your plan. This dedication to ongoing development creates a flexible barrier, strengthening your resistance to constantly evolving mobile security threats.
Threat emergency preparedness: To start, familiarise yourself with the ever-changing terrain associated with mobile dangers to security. Keep updated on new threats including malware, phishing, and illegal access.
Sturdy Device Management: Put in place a thorough approach to device management. This includes frequent upgrades, safe locking systems, and additional safeguarding capabilities like remote surveillance and erasing.
Customer Alertness: Emphasise proper online conduct and acquaint yourself and your team with potential hazards, such as phishing efforts.
Dynamic Measures for a Robust Wireless Safety Plan
In the dynamic field of mobile assurances, taking a proactive strategy is critical. To strengthen safeguards, thoroughly research common risks like malware, phishing, and illegal access. Establish a strong device management strategy that includes frequent upgrades, safe locking mechanisms, and remote monitoring and deletion capabilities for added security.
Promoting user awareness by educating people so they can identify and block any hazards, especially regarding phishing attempts. Reduce the dangers of data eavesdropping and illegal access by emphasising safe communication practices, using Virtual Private Networks (VPNs), and avoiding public Wi-Fi for essential transactions.
Pay close attention to app-centric integrity by periodically checking and modifying entitlements. Downloading trustworthy mobile security apps skilled at thwarting malware and other unwanted activity will enhance your smartphone's defenses. Lastly, create an atmosphere of continuous development by keeping up with new threats and utilising developing technology to make your handheld security plan more resilient overall.
Conclusion
Mobile privacy threats grow as portable electronics become increasingly integrated into daily activities. Effective defense requires knowledge of the various types of malware, such as worms, ransomware, adware, and spyware. Tools for Mobile Threat Defense, which prioritise vulnerability assessment, management, anomaly detection, connection privacy, and program monitoring, are essential. App-centric development, secure networking procedures, ongoing enhancement, threat readiness, strong device control, and user comprehension are all components of a complete mobile security strategy. People, as well as organisations, can strengthen their defenses against changing mobile security threats by implementing dynamic measures and maintaining vigilance, thereby guaranteeing safe and resilient mobile surrounding.
References
https://www.titanfile.com/blog/types-of-computer-malware/
https://www.simplilearn.com/what-is-a-trojan-malware-article
https://www.linkedin.com/pulse/latest-anti-analysis-tactics-guloader-malware-revealed-ukhxc/?trk=article-ssr-frontend-pulse_more-articles_related-content-card
