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Data has become a critical asset for the advancement of a nation’s economic, social, and technological development. India’s emergence as a global digital economy hub makes it necessary to create a robust framework that addresses the challenges and opportunities of digital transformation. The Indian government introduced the Draft National Data Governance Framework Policy in 2022, aiming to create a comprehensive data handling and governance framework. This policy draft addresses key challenges in data management, privacy, and digital economy growth.  As per the recent media reports, the Draft National Data Governance Policy so prepared is under the finalisation stage, the government specified in its implementation document for the Budget 2023-24 announcement. The policy also aims to address the country's AI adoption and the issue of lack of datasets by providing widespread access to anonymized data.

Background and Need for the Policy

India has a robust digital economy with its adoption of the Digital India Initiative, Aadhaar digital identification, UPI for seamless payments and many more. In India, 751.5 million people connect to the internet, and is home to 462.0 million social media users in January 2024, equivalent to 32.2% of its total population (Data Reportal 2024). This has brought challenges including data privacy concerns, cybersecurity threats, digital exclusion, and a need for better regulation frameworks. To overcome them, the Draft National Data Governance Policy has been designed to provide institutional frameworks for data rules, standards, guidelines, and protocols for the sharing of non-personal data sets in a manner that ensures privacy, security, and trust so that they remain secure, transparent, and accountable.

Objectives omphasizesf the Framework 

The objective of the Framework Policy is to accelerate Digital Governance in India. The framework will standardize data management and security standards across the Government. It will promote transparency, accountability, and ownership in Non-Personal data and dataset access and build a platform to receive and process data requests. It will also set quality standards and promote the expansion of the datasets program and overall non-personal ecosystem. Further, it aims to build India’s digital government goals and capacity, knowledge, and competency in Government departments and entities. All this would be done while ensuring greater citizen awareness, participation, and engagement. 

Key Provisions of the Draft Policy 

The Draft Framework Policy aims to establish a cohesive digital governance ecosystem in India that balances the need for data utilization with protecting citizens' privacy rights. It sets up an institutional framework of the "India Data Management Office (IDMO) set up under the Digital India Corporation (DIC) which will be responsible for developing rules, standards, and guidelines under this Policy. 

The key provisions of the framework policy include: 

• Promoting interoperability among government digital platforms, ensuring data privacy through data anonymization and security, and enhancing citizen access to government services through digital means. 
• The policy e the creation of unified digital IDs, a standardisation in digital processes, and data-sharing guidelines across ministries to improve efficiency. 
• It also focuses on building digital infrastructure, such as cloud services and data centres in order to support e-governance initiatives. 
• Furthermore, it encourages public-private partnerships and sets guidelines for accountability and transparency in digital governance.

Implications and Concerns of the Framework 

• The policy potentially impacts data sharing in India as it mentions data anonymization. The scale of data that would need to be anonymised in India is at a very large scale and it could become a potential challenge to engage in. 
• Data localization and cross-border transfers have raised concerns among global tech companies and trade partners. They argue that such requirements could increase operational costs and hinder cross-border data flows. Striking a balance between protecting national interests and facilitating business operations remains a critical challenge.
• Another challenge associated with the policy is over-data centralization under the IDMO and the potential risks of government overreach in data access.

Key Takeaways and Recommendations

The GDPR in the European Union and the Digital Personal Data Protection Act passed in 2023 in India and many others are the data privacy laws in force in different countries. The policy needs to be aligned with the DPDP Act, 2023 and be updated as per the recent developments. It further needs to maintain transparency over the sharing of data and a user’s control. The policy needs engagement with industry experts, privacy advocates, and civil society to ensure a balance of innovation with privacy and security.

Conclusion

The Draft National Data Governance Framework Policy of 2022 represents a significant stage in shaping India's digital future. It ensures the evolution of data governance evolves alongside technological advancements. The framework policy seeks to foster a robust digital ecosystem that benefits citizens, businesses, and the government alike by focusing on the essentials of data privacy, transparency, and security. However, achieving this vision requires addressing concerns like data centralisation, cross-border data flows, and maintaining alignment with global privacy standards. Continued engagement with stakeholders and necessary updates to the draft policy will be crucial to its success in balancing innovation with user rights and data integrity. The final version of the policy is expected to be released soon.

References

• https://meity.gov.in/writereaddata/files/National-Data-Governance-Framework-Policy.pdf
• https://datareportal.com/?utm_source=DataReportal&utm_medium=Country_Article_Hyperlink&utm_campaign=Digital_2024&utm_term=India&utm_content=Home_Page_Link
• https://www.imf.org/en/Publications/fandd/issues/2023/03/data-by-people-for-people-tiwari-packer-matthan
• https://inc42.com/buzz/draft-national-data-governance-policy-under-finalisation-centre/  
• https://legal.economictimes.indiatimes.com/news/industry/government-unveiled-national-data-governance-policy-in-budget-2023/97680515

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Introduction

A famous quote, “Half knowledge is always dangerous”, but “Too much knowledge of anything can lead to destruction”. Recently very infamous spyware and malware named WyrmSpy and Dragon Egg were invented by a Chinese group of hackers APT41. The APT41 is a state-endorsed Clandstein active group based in the People’s Republic of China that has been active since 2012. In contrast to numerous countries-government supported, APT has a footprint record jeopardising both government organisations for clandestine activities as well as different private organisations or enterprises for their financial gain. APT41 group aims at Android devices through spyware wyrmspy and dragon egg, which masquerades as a legitimate application. According to the U.S. jury legal accusation from 2019 to 2020, the group was entangled in threatening over more than 100 public and private individuals and organisations in the United States and around the world.Moreover, a detailed analysis report was shared by the Lookout Threat Researchers, that has been actively monitoring and tracking both spyware and malware.

Briefing about how spyware attacks on Android devices take place

To begin with, this malware imitates a real source Android application to show some sort of notification. Once it is successfully installed on the user’s machine, proclaims multiple device’s permission to enable data filtration.

Wyrmspy complies with log files, photos, device locations, SMS(read and write), and audio recordings. It has also authenticated that there are no detection malware activities found on google play even after running multiple security levels. These malicious things are made with the intent to obtain rooting access privileges to the device and monitor activities to the specified commands received from the C2 servers.

Similarly, Dragon Egg can collect data files, contacts, locations, and audio recordings, and it also accesses camera photos once it successfully trade-off the device. Dragon egg receives a payload that is also known as “smallmload.jar”, which is either from APK(Android Packet Kit).

WyrmSpy initially masquerades as a default operation system application, and Dragon Egg simulates a third-party keyboard/ messaging application.

Overview of APT41 Chinese group background

APT41 is a Chinese-based stealth activity-carrying group that is said to be active since mid-2006. Rumours about APT41 that it was also a part of the 2nd Bureau of the People’s Liberation Army (PLA) General Staff Department’s (GSD) 3rd Department. Owning to that fact, 2006 has seen 140+ organisations’ security getting compromised, ranging from 20 strategically crucial companies.APT is also recognised for rationally plundering hundreds of terabytes of data from at least 141 organisations between 2006 and 2013. It typically begins with spear-phishing emails to the targeted victims. These sent emails contain official templates along with language pretending to be from a legitimate real source, carrying a malicious attachment. As the victim opens the attached file, the backdoor bestows the control of the targeted machine to the APT groups machine. Once there is an unauthorised gain of access, the attacker visits and revisits the victim’s machine. The group remains dormant for lengthy durations, more likely for months or even for years.

Advisory points need to adhere to while using Android devices

• The security patch update is necessary at least once a week
• Clearing up unwanted junk files.
• Cache files of every frequently used application need to clear out.
• Install only required applications from
  Google play store.
• Download only necessary APK files only it comes from trusted resources.
• Before giving device permission, it is advisable to run your files or URLs on VirusTotal.com this website will give a good closure to the malicious intent.
• Install good antivirus software.
• Individuals need to check the source of the email before opening an attachment to it.
• Never collect or add any randomly found device to your system
• Moreover, the user needs to keep track of their device activity. Rather than using devices just for entertainment purposes, it is more important to look for data protection on that device.

Conclusion

Network Crack Program Hacker Group (NCPH), which grew as an APT41 group with malicious intent, earlier performed the role of grey hat hacker, this group somehow grew up greedy to enhance more money laundering by hacking networks, devices, etc. As this group conducts a supply chain of attacks to gain unauthorised access to the network throughout the world, targeting hundreds of companies, including an extensive selection of industries such as social media, telecommunications, government, defence, education, and manufacturing. Last but not least, many more fraud-making groups with malicious intent will be forming and implementing in the future. It is on individuals and organisations to secure themselves but practise basic security levels to safeguard themselves against such threats and attacks.

Executive Summary:

One of the most complex threats that have appeared in the space of network security is focused on the packet rate attacks that tend to challenge traditional approaches to DDoS threats’ involvement. In this year, the British based biggest Internet cloud provider of Europe, OVHcloud was attacked by a record and unprecedented DDoS attack reaching the rate of 840 million packets per second. Targets over 1 Tbps have been observed more regularly starting from 2023, and becoming nearly a daily occurrence in 2024. The maximum attack on May 25, 2024, got to 2.5 Tbps, this points to a direction to even larger and more complex attacks of up to 5 Tbps. Many of these attacks target critical equipment such as Mikrotik models within the core network environment; detection and subsequent containment of these threats prove a test for cloud security measures.

Modus Operandi of a Packet Rate Attack:

A type of cyberattack where an attacker sends with a large volume of packets in a short period of time aimed at a network device is known as packet rate attack, or packet flood attack or network flood attack under volumetric DDoS attack. As opposed to the deliberately narrow bandwidth attacks, these raids target the computation time linked with package processing. 

Key technical characteristics include: 

• Packet Size: Usually compact, and in many cases is less than 100 bytes 
• Protocol: Named UDP, although it can also involve TCP SYN or other protocol flood attacks 
•  Rate: Exceeding 100 million packets per second (Mpps), with recent attacks exceeding 840 Mpps 
• Source IP Diversity: Usually originating from a small number of sources and with a large number of requests per IP, which testifies about the usage of amplification principles 
• Attack on the Network Stack : To understand the impact, let's examine how these attacks affect different layers of the network stack:

1. Layer 3 (Network Layer):

• Each packet requires routing table lookups and hence routers and L3 switches have the problem of high CPU usage. 
• These mechanisms can often be saturated so that network communication will be negatively impacted by the attacker.

2. Layer 4 (Transport Layer):

• Other stateful devices (e.g. firewalls, load balancers) have problems with tables of connections 
• TCP SYN floods can also utilize all connection slots so that no incoming genuine connection can be made.

3. Layer 7 (Application Layer): 

• Web servers and application firewalls may be triggered to deliver a better response in a large number of requests 
• Session management systems can become saturated, and hence, the performance of future iterations will be a little lower than expected in terms of their perceived quality by the end-user. 

Technical Analysis of Attack Vectors

Recent studies have identified several key vectors exploited in high-volume packet rate attacks:

1.MikroTik RouterOS Exploitation:

• Vulnerability: CVE-2023-4967
• Impact: Allows remote attackers to generate massive packet floods
• Technical detail: Exploits a flaw in the FastTrack implementation

2.DNS Amplification:

• Amplification factor: Up to 54x
• Technique: Exploits open DNS resolvers to generate large responses to small queries
• Challenge: Difficult to distinguish from legitimate DNS traffic

3.NTP Reflection:

• Command: monlist
• Amplification factor: Up to 556.9x
• Mitigation: Requires NTP server updates and network-level filtering

Mitigation Strategies: A Technical Perspective

1. Combating packet rate attacks requires a multi-layered approach:

• Hardware-based Mitigation:
• Implementation: FPGA-based packet processing
• Advantage: Can handle millions of packets per second with minimal latency
• Challenge: High cost and specialized programming requirements

2.Anycast Network Distribution:

• Technique: Distributing traffic across multiple global nodes
• Benefit: Dilutes attack traffic, preventing single-point failures
• Consideration: Requires careful BGP routing configuration

3.Stateless Packet Filtering:

• Method: Applying filtering rules without maintaining connection state
• Advantage: Lower computational overhead compared to stateful inspection
• Trade-off: Less granular control over traffic

4.Machine Learning-based Detection:

• Approach: Using ML models to identify attack patterns in real-time
• Key metrics: Packet size distribution, inter-arrival times, protocol anomalies
• Challenge: Requires continuous model training to adapt to new attack patterns

Performance Metrics and Benchmarking

When evaluating DDoS mitigation solutions for packet rate attacks, consider these key performance indicators:

• Flows per second (fps) or packet per second (pps) capability
• Dispersion and the latency that comes with it is inherent to mitigation systems.
• The false positive rate in the case of the attack detection
• Exposure time before beginning of mitigation from the moment of attack

Way Forward

The packet rate attacks are constantly evolving where the credible defenses have not stayed the same. The next step entails extension to edge computing and 5G networks for distributing mitigation closer to the attack origins. Further, AI-based proactive tools of analysis for prediction of such threats will help to strengthen the protection of critical infrastructure against them in advance.

In order to stay one step ahead in this, it is necessary to constantly conduct research, advance new technologies, and work together with other cybersecurity professionals. There is always a need to develop secure defenses that safeguard these networks.

Reference:

https://blog.ovhcloud.com/the-rise-of-packet-rate-attacks-when-core-routers-turn-evil/

https://cybersecuritynews.com/record-breaking-ddos-attack-840-mpps/

https://www.cloudflare.com/learning/ddos/famous-ddos-attacks/

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