#Fact Old image of Hindu Priest with Donald trump at White house goes viral as recent.

Introduction

The increasing online interaction and popularity of social media platforms for netizens have made a breeding ground for misinformation generation and spread. Misinformation propagation has become easier and faster on online social media platforms, unlike traditional news media sources like newspapers or TV. The big data analytics and Artificial Intelligence (AI) systems have made it possible to gather, combine, analyse and indefinitely store massive volumes of data. The constant surveillance of digital platforms can help detect and promptly respond to false and misinformation content. 

During the recent Israel-Hamas conflict, there was a lot of misinformation spread on big platforms like X (formerly Twitter) and Telegram. Images and videos were falsely shared attributing to the ongoing conflict, and had spread widespread confusion and tension. While advanced technologies such as AI and big data analytics can help flag harmful content quickly, they must be carefully balanced against privacy concerns to ensure that surveillance practices do not infringe upon individual privacy rights. Ultimately, the challenge lies in creating a system that upholds both public security and personal privacy, fostering trust without compromising on either front.

The Need for Real-Time Misinformation Surveillance

According to a recent survey from the Pew Research Center, 54% of U.S. adults at least sometimes get news on social media. The top spots are taken by Facebook and YouTube respectively with Instagram trailing in as third and TikTok and X as fourth and fifth. Social media platforms provide users with instant connectivity allowing them to share information quickly with other users without requiring the permission of a gatekeeper such as an editor as in the case of traditional media channels. 

Keeping in mind the data dumps that generated misinformation due to the elections that took place in 2024 (more than 100 countries), the public health crisis of COVID-19, the conflicts in the West Bank and Gaza Strip and the sheer volume of information, both true and false, has been immense. Identifying accurate information amid real-time misinformation is challenging. The dilemma emerges as the traditional content moderation techniques may not be sufficient in curbing it. Traditional content moderation alone may be insufficient, hence the call for a dedicated, real-time misinformation surveillance system backed by AI and with certain human sight and also balancing the privacy of user's data, can be proven to be a good mechanism to counter misinformation on much larger platforms. The concerns regarding data privacy need to be prioritized before deploying such technologies on platforms with larger user bases. 

Ethical Concerns Surrounding Surveillance in Misinformation Control

Real-time misinformation surveillance could pose significant ethical risks and privacy risks. Monitoring communication patterns and metadata, or even inspecting private messages, can infringe upon user privacy and restrict their freedom of expression. Furthermore, defining misinformation remains a challenge; overly restrictive surveillance can unintentionally stifle legitimate dissent and alternate perspectives. Beyond these concerns, real-time surveillance mechanisms could be exploited for political, economic, or social objectives unrelated to misinformation control. Establishing clear ethical standards and limitations is essential to ensure that surveillance supports public safety without compromising individual rights. 

In light of these ethical challenges, developing a responsible framework for real-time surveillance is essential.

Balancing Ethics and Efficacy in Real-Time Surveillance: Key Policy Implications

Despite these ethical challenges, a reliable misinformation surveillance system is essential. Key considerations for creating ethical, real-time surveillance may include:

• Misinformation-detection algorithms should be designed with transparency and accountability in mind. Third-party audits and explainable AI can help ensure fairness, avoid biases, and foster trust in monitoring systems.
• Establishing clear, consistent definitions of misinformation is crucial for fair enforcement. These guidelines should carefully differentiate harmful misinformation from protected free speech to respect users’ rights.
• Only collecting necessary data and adopting a consent-based approach which protects user privacy and enhances transparency and trust. It further protects them from stifling dissent and profiling for targeted ads.
• An independent oversight body that can monitor surveillance activities while ensuring accountability and preventing misuse or overreach can be created. These measures, such as the ability to appeal to wrongful content flagging, can increase user confidence in the system.

Conclusion: Striking a Balance

Real-time misinformation surveillance has shown its usefulness in counteracting the rapid spread of false information online. But, it brings complex ethical challenges that cannot be overlooked such as balancing the need for public safety with the preservation of privacy and free expression is essential to maintaining a democratic digital landscape. The references from the EU’s Digital Services Act and Singapore’s POFMA underscore that, while regulation can enhance accountability and transparency, it also risks overreach if not carefully structured. Moving forward, a framework for misinformation monitoring must prioritise transparency, accountability, and user rights, ensuring that algorithms are fair, oversight is independent, and user data is protected. By embedding these safeguards, we can create a system that addresses the threat of misinformation and upholds the foundational values of an open, responsible, and ethical online ecosystem. Balancing ethics and privacy and policy-driven AI Solutions for Real-Time Misinformation Monitoring are the need of the hour.

References

• https://www.pewresearch.org/journalism/fact-sheet/social-media-and-news-fact-sheet/ 
• https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=OJ:C:2018:233:FULL 

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Introduction

As per the National Crime Records Bureau (NCRB) ‘Cyber Crime In India Report 2022’, A total of 65,893 cases were registered under Cyber Crimes, showing an increase of 24.4% in registration in comparison to 52,974 cases registered in 2021. The crime rate increased from 3.9 in 2021 to 4.8 in 2022. During 2022, 64.8% of cyber-crime cases registered were for the motive of fraud (42,710 out of 65,893 cases), followed by Extortion with 5.5% (3,648 cases) and Sexual Exploitation with 5.2% (3,434 cases). The statistics released by NCRB show the increased rate of cyber crimes in the country, which poses a significant question of safety in the online world. The rise in cybercrime indicates a rise in emerging criminal groups with malicious intentions, creating new cybercrime hotspots in the country where these groups target and commit cyber crimes despite limited resources.

Cyber Crime Hotspots

Police have recently arrested several cyber criminals in a specific region, indicating that certain areas have become hotspots for cybercrime. Mewat region is one such hotspot indicating a growing trend of cybercrime operating from this area. The Mewat gang's modus operandi is quite different; Cybercriminals in Mewat scam mobile owners just using smartphones and SIM cards without kingpins and targeting mobile owners. The scammers also lure people through online marketplaces such as OLX, in which they pretend to sell possessions and then either physically lure victims to pick-up locations or scam them virtually. 

A study conducted by Future Crime Research Foundation and IIT Kanpur in 2023 has revealed that Jamatara city, once considered the cyber crime capital of India, is no longer the epicentre. The study found that 35 hotspots in India are actively involved in cybercrime activities. The top 10 cybercrime hotspots in India collectively account for 80% of cybercrime-related cases in India. These districts are strategically located near India's capital or closer to the National Capital Region (NCR). These districts are strategically placed with multiple borders, making them easy targets for criminals.  

Online financial fraud and social media-related crimes are the most common in India. Cybercriminals exploit data as a gold mine, using it to commit crimes. For instance, they can obtain banking and insurance data, use simple AI tools to cheat victims, and they can easily impersonate identities to lure innocent people. In cybercrime hotspots, sextortion is a modern way for cybercriminals to record and demand money. Loan app fraud, OLX fraud, and job fraud also originate from these specific regions.

Recommendations 

To counter the challenges posed by emerging cybercrime hubs, the following recommendations are to be considered: 

• Advanced threat Intelligence: The digital landscape is evolving, and the threat landscape is becoming more complex. AI's role in cybersecurity is becoming increasingly critical, both positively and negatively, as it helps in understanding and addressing advanced threats. AI is capable of proactive threat hunting, real-time anomaly detection, and swift incident response.
• Enhancing capabilities of Law Enforcement Agencies: Law enforcement agencies must be sensitised to advanced tools or techniques to investigate cyber crime cases effectively. The development and implementation of advanced forensic tools and technologies need to be utilised or implemented to keep up with the evolving tactics of cybercrime perpetrators. 
• Continuous Monitoring: Continuous cybersecurity monitoring is crucial for detecting anomalies and preventing cyber-attacks. It involves analysing systems and data to establish baseline security, identify deviations, and investigate potential threats. Cybersecurity experts use data observability tools, artificial intelligence, and machine learning to detect unexpected dataset changes.
• Cyber Security Awareness: Public awareness needs to be higher. Cybercrime prevention and cybersecurity is a shared responsibility of all of us by being aware of the threats and following the best practices. The frequent interaction between law enforcement and the public is necessary to raise awareness about safeguarding personal and financial information. Effective campaigns on cyber security are necessary to educate netizens.

Safety Tips for Netizens

Install up-to-date security software and firewalls on devices, use strong passwords for accounts, and regularly update software and applications. Be cautious when clicking on links or downloading files from unknown sources, and be cautious of your personal information.

Conclusion

The rise of Cyber Crime Hotspots in specific regions or districts has significantly exacerbated the issue of increasing cybercrime rates. In order to combat cybercrime more effectively, it is necessary for law enforcement agencies to strengthen their coordination between different states and to adapt advanced technology methods to counter cybercrime threats effectively. Moreover, educating netizens about cyber crime threats and providing best practices is an effective method to counter these threats, considered the first line of defense against cybercrime.

References

• https://ncrb.gov.in/uploads/nationalcrimerecordsbureau/custom/1701607577CrimeinIndia2022Book1.pdf
• https://economictimes.indiatimes.com/tech/technology/no-kingpins-just-a-smartphone-and-sim-card-how-cybercriminals-in-mewat-scam-mobile-owners/articleshow/98062889.cms?from=mdr
• https://www.futurecrime.org/fcrf-cyber-crime-survey-2023
• https://timesofindia.indiatimes.com/city/mumbai/jamtara-loses-crown-as-new-remote-districts-rewrite-indias-cybercrime-map/articleshow/104475868.cms?from=mdr
• https://government.economictimes.indiatimes.com/news/secure-india/80-of-cyber-crimes-from-10-new-districts-iit-report/103921338
• https://www.dw.com/en/how-mewat-became-indias-new-hub-for-cyber-criminals/video-68674527
• https://www.indiatoday.in/from-india-today-magazine/story/into-cybercrime-hotspot-india-mewat-rajasthan-haryana-uttar-pradesh-2381545-2023-05-19
• https://frontline.thehindu.com/the-nation/spotlight-how-nuh-district-in-haryana-became-a-breeding-ground-for-cybercriminals/article67098193.ece
• https://www.opindia.com/2024/04/nuh-mewat-cyber-crime-haryana-police-crackdown/#google_vignette

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Introduction

Data Breaches have taken over cyberspace as one of the rising issues, these data breaches result in personal data making its way toward cybercriminals who use this data for no good. As netizens, it's our digital responsibility to be cognizant of our data and the data of one's organization. The increase in internet and technology penetration has made people move to cyberspace at a rapid pace, however, awareness regarding the same needs to be inculcated to maximise the data safety of netizens. The recent AIIMS cyber breach has got many organisations worried about their cyber safety and security. According to the HIPPA Journal, 66% of healthcare organizations reported ransomware attacks on them. Data management and security is the prime aspect of clients all across the industry and is now growing into a concern for many. The data is primarily classified into three broad terms-

• Personal Identified Information (PII) - Any representation of information that permits the identity of an individual to whom the information applies to be reasonably inferred by either direct or indirect means.
• Non-Public Information (NPI) - The personal information of an individual that is not and should not be available to the public. This includes Social Security Numbers, bank information, other personal identifiable financial information, and certain transactions with financial institutions.
• Material Non-Public Information (MNPI) - Data relating to a company that has not been made public but could have an impact on its share price. It is against the law for holders of nonpublic material information to use the information to their advantage in trading stocks.

This classification of data allows the industry to manage and secure data effectively and efficiently and at the same time, this allows the user to understand the uses of their data and its intensity in case of breach of data. Organisations process data that is a combination of the above-mentioned classifications and hence in instances of data breach this becomes a critical aspect. Coming back to the AIIMS data breach, it is a known fact that AIIMS is also an educational and research institution. So, one might assume that the reason for any attack on AIIMS could be either to exfiltrate patient data or could be to obtain hands-on the R & D data including research-related intellectual properties. If we postulate the latter, we could also imagine that other educational institutes of higher learning such as IITs, IISc, ISI, IISERs, IIITs, NITs, and some of the significant state universities could also be targeted. In 2021, the Ministry of Home Affairs through the Ministry of Education sent a directive to IITs and many other institutes to take certain steps related to cyber security measures and to create SoPs to establish efficient data management practices. The following sectors are critical in terms of data protection-

• Health sector
• Financial sector
• Education sector
• Automobile sector

These sectors are generally targeted by bad actors and often data breach from these sectors result in cyber crimes as the data is soon made available on Darkweb. These institutions need to practice compliance like any other corporate house as the end user here is the netizen and his/her data is of utmost importance in terms of protection.Organisations in today's time need to be in coherence to the advancement in cyberspace to find out keen shortcomings and vulnerabilities they may face and subsequently create safeguards for the same. The AIIMS breach is an example to learn from so that we can protect other organisations from such cyber attacks. To showcase strong and impenetrable cyber security every organisation should be able to answer these questions-

• Do you have a centralized cyber asset inventory?
• Do you have human resources that are trained to model possible cyber threats and cyber risk assessment?
• Have you ever undertaken a business continuity and resilience study of your institutional digitalized business processes?
• Do you have a formal vulnerability management system that enumerates vulnerabilities in your cyber assets and a patch management system that patches freshly discovered vulnerabilities?
• Do you have a formal configuration assessment and management system that checks the configuration of all your cyber assets and security tools (firewalls, antivirus management, proxy services) regularly to ensure they are most securely configured?
• Do have a segmented network such that your most critical assets (servers, databases, HPC resources, etc.) are in a separate network that is access-controlled and only people with proper permission can access?
• Do you have a cyber security policy that spells out the policies regarding the usage of cyber assets, protection of cyber assets, monitoring of cyber assets, authentication and access control policies, and asset lifecycle management strategies?
• Do you have a business continuity and cyber crisis management plan in place which is regularly exercised like fire drills so that in cases of exigencies such plans can easily be followed, and all stakeholders are properly trained to do their part during such emergencies?
• Do you have multi-factor authentication for all users implemented?
• Do you have a supply chain security policy for applications that are supplied by vendors? Do you have a vendor access policy that disallows providing network access to vendors for configuration, updates, etc?
• Do you have regular penetration testing of the cyberinfrastructure of the organization with proper red-teaming?
• Do you have a bug-bounty program for students who could report vulnerabilities they discover in your cyber infrastructure and get rewarded?
• Do you have an endpoint security monitoring tool mandatory for all critical endpoints such as database servers, application servers, and other important cyber assets?
• Do have a continuous network monitoring and alert generation tool installed?
• Do you have a comprehensive cyber security strategy that is reflected in your cyber security policy document?
• Do you regularly receive cyber security incidents (including small, medium, or high severity incidents, network scanning, etc) updates from your cyber security team in order to ensure that top management is aware of the situation on the ground?
• Do you have regular cyber security skills training for your cyber security team and your IT/OT engineers and employees?
• Do your top management show adequate support, and hold the cyber security team accountable on a regular basis?
• Do you have a proper and vetted backup and restoration policy and practice?

If any organisation has definite answers to these questions, it is safe to say that they have strong cyber security, these questions should not be taken as a comparison but as a checklist by various organisations to be up to date in regard to the technical measures and policies related to cyber security. Having a strong cyber security posture does not drive the cyber security risk to zero but it helps to reduce the risk and improves the fighting chance. Further, if a proper risk assessment is regularly carried out and high-risk cyber assets are properly protected, then the damages resulting from cyber attacks can be contained to a large extent.