#FactCheck-A manipulated image showing Indian cricketer Virat Kohli allegedly watching Rahul Gandhi's media briefing on his mobile phone has been widely shared online.

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:

Digital Forensics, as the term goes, “It is the process of collecting, preserving, identifying, analyzing, and presenting digital evidence in a way that the evidence is legally admitted.”

It is like a detective work in the digital realm, where investigators use various specific methods to find deleted files and to reveal destroyed messages.

The reason why Digital Forensics is an important field is because with the  advancement of technology and the use of digital devices, the role of Digital Forensics in preserving the evidence and protecting our data from cybercrime is becoming more and more crucial.

Digital Forensics is used in various situations such as:

• Criminal Investigations: Digital Forensics enables investigators to trace back cyber threat actors and further identify victims of the crime to  gather evidence needed to punish criminals.

• Legal issues: Digital Forensics might aid in legal  matters involving intellectual property infringement and data breaches etc.

Types of Digital Data in Digital Forensics:

1.Persistent (Non-volatile) Data :-

• This type of Data Remains Intact When The Computer Is Turned Off.
• ex. Hard-disk, Flash-drives

2.  Volatile Data :-

• These types of Data Would Be Lost When The Computer Is Turned Off.
• ex. Temp. Files, Unsaved OpenFiles, etc.

The Digital Forensics Process

The process is as follows

• Evidence Acquisition: This process involves making an exact copy (forensic image) of the storage devices such as hard drives, SSD or mobile devices. The goal is to preserve the original data without changing it.

• Data Recovery: After acquiring the forensic image, the analysts use  tools to recover deleted, hidden or the  encrypted data inside the device . 

• Timeline Analysis: Analysts use timestamp information from files, and system logs to reconstruct the timeline of activities on a device. This helps in understanding how an incident spanned out and who was involved in it.

• Malware Analysis: In cases involving  security breaches, analysts analyze malware samples to understand their behavior, impact, and origins. various reverse engineering techniques are used to analyze the malicious code.

Types of tools:

• Faraday Bags: Faraday bags are generally the first step in digital evidence capture. These bags are generally made of conductive materials, which are used to shield our electronic devices from external waves such as WiFi, Bluetooth, and mobile cellular signals, which in turn protects the digital evidence from external tampering.

• Data recovery : These types of software are generally used for the recovery of deleted files and their associated data.  Ex. Magnet Forensics, Access data, X-Ways

• Disk imaging and analysis :These types of softwares are Generally used to replicate the data storage devices and then perform further analysis on it ex. FTKImager, Autopsy, and, Sleuth Kit

• File carving tools: They are generally used to extract information from the embedded files in the image made. Ex.Foremost, Binwalk, Scalpel

Some common tools:

• EnCase: It is a tool for acquiring, analyzing, and reporting digital evidence.

• Autopsy: It is an open-source platform generally used for analyzing hard drives and smartphones.

• Volatility: It is a framework used generally for memory forensics to analyze volatile memory dumps and extract info.

• Sleuth Kit: It is a package of CLI tools for investigating disk images and its associated file systems.

• Cellebrite UFED: It is a tool generally used for mobile forensics.

Challenges in the Field:

• Encryption: Encryption plays a major challenge as the encrypted data requires specialized techniques and tools for decryption.

• Anti-Forensic Techniques: Anti-Forensics techniques play a major challenge as the criminals often use anti-forensic methods to cover their tracks, making it challenging to get the digital evidence.

• Data Volume and Complexity: The large volume of digital data and the diversity of various devices create challenges in evidence collection and analysis.

The Future of Digital Forensics: A Perspective

‍With the  growth of technology and the vast presence of digital data, the challenges and opportunities in Digital Forensics keep on updating themselves. Due to the onset of new technology and the ever growing  necessity of cloud storage, mobile devices, and the IoT (Internet of Things), investigators will have to develop new strategies and should be ready to adapt and learn from the new shaping of the tech world.

Conclusion:

‍Digital Forensics is an essential field in the recent era for ensuring fairness in the digital era. By collecting, inspecting, and analyzing the digital data, the Digital Forensics investigators can arrive lawfully at  the prosecution of criminals and the settlement of civil disputes. Nowadays with technology on one hand progressing continuously, the discipline of Digital Forensics will certainly become even more pivotal in the case of investigations in the years to come.

Introduction

The increase in consumer demands has resulted in a sharp increase in digital financing in India. As a result, the reputation of the digital lending sector has been impacted, as bad actors increasingly deploy illicit lending platforms such as fraudulent loans and trading apps. As millions of Indians download fast loan applications to help them meet their financial ends, the fraudulent apps result in cyber crimes including financial fraud. Consumers need to be vigilant of dubious trading or loan applications as bad actors frequently use illegitimate apps to trick victims by advertising limited-period offers and applying pressure.

Recently the Indian Cyber Crime Coordination Centre (I4C) led handel CyberDost has issued a cybercrime alert against the ‘CashExpand-U’ finance assistant app, which has been now removed from the Google Play Store. The app was found to be associated with hostile foreign entities, and the app had made it easier to raise small loans. However, such loan apps are seldom credible and may compromise financial information. 

Raising cases of Fraudulent Loan Apps

The finance minister had stated that the government is constantly engaged with the Reserve Bank of India and other regulators and stakeholders to control fraudulent loan apps. In FY23, there were 1,062 complaints against such apps, the Finance Minister shared during a Lok Sabha session. Google removed almost 134 fake apps from the Play Store in a single week in September 2023 after multiple complaints were registered against such apps. The Reserve Bank of India (RBI) had also issued regulatory guidelines on digital lending in April 2023 to bring transparency in the digital loan space. 

CyberPeace Policy Wing Advisory for Users

1. Be cautious of App Permissions 

Fake lending apps collect data by fraudulently taking numerous app permissions from consumers and misusing them later. The users must effectively manage their app permissions to avoid denying any extra permissions such as access to contacts, location, and photos. This is because fraudulent digital lenders access users' personal data to extort additional money even after loan repayment.

2. Practice Due Diligence 

Consumers must exercise care & caution before applying for a loan from digital lending platforms.  Before applying for a loan or downloading any such apps, consumers must conduct due diligence by verifying the app's name, rating, reviews, physical address, and contact information. Always double-verify the paperwork before signing any agreement or contract. Always apply for loans from RBI-approved and compliant banking and financial services providers.

3. Download from Official Sources 

To avoid downloading counterfeit apps, only download lending apps from official stores like Google Play Store or Apple App Store, and avoid downloading apps from web links sent via SMS, email, or social media, even if shared by your known persons.

4. Be sceptical of too-good-to-be-true offerings

Be cautious of deals that seem too good to be true, like hassle-free easy loans as they can be fraudulent. If an offer seems too good to be true, it might be a red flag. Hence always conduct your own research to verify the lender and avoid making hasty decisions.

5. Reporting Mechanism

In case of facing a scam by such fraudulent apps, victims can file a complaint with the ‘National Cyber Crime Reporting Portal’ or Cyber Crime Helpline ‘1930’, or they can also contact us at CyberPeace Helpline +919570000066 and helpline@cyberpeace.net to get assistance in reporting their cases. 

Final Words

Illegitimate loan/trading apps have been raising concerns by defrauding innocent consumers who seek financial assistance. The Center has recently warned against the CashExpand-U app, which has been now removed from the Google Play Store. Users are advised to exercise due care and caution while downloading loan apps and applying for loans to prevent any potential scams. keep up to date with news from concerned authorities about common scams and fraudulent practices in the lending space and stay safe in the online world.

References:

• https://www.livemint.com/news/beware-govt-issues-cybercrime-alert-against-loan-app-cashexpand-u-finance-assistant-11720338996430.html
• https://timesofindia.indiatimes.com/technology/tech-news/government-has-issued-an-important-warning-for-this-loan-app/articleshow/111541577.cms

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