Advancing Obfuscation Strategies to Counter China's Great Firewall: A Technical and Policy Perspective
- URL: http://arxiv.org/abs/2503.02018v1
- Date: Mon, 03 Mar 2025 19:51:50 GMT
- Title: Advancing Obfuscation Strategies to Counter China's Great Firewall: A Technical and Policy Perspective
- Authors: Li Li,
- Abstract summary: China's Great Firewall (GFW) exemplifies one of the most extensive and technologically sophisticated internet censorship frameworks worldwide.<n>This paper critically examines the GFW's principal detection techniques, including Deep Packet Inspection (DPI), domain name tampering, and traffic fingerprinting.<n>In parallel, we evaluate emerging countermeasures that leverage obfuscation, encryption, and routing innovations to circumvent these restrictions.
- Score: 4.606106768645647
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: China's Great Firewall (GFW) exemplifies one of the most extensive and technologically sophisticated internet censorship frameworks worldwide. Serving as a cornerstone of state-directed digital governance, it integrates a multitude of methods - ranging from DNS manipulation and IP blocking to keyword filtering and active surveillance - to control online information flows. These measures, underpinned by both technical proficiency and administrative oversight, form a formidable obstacle to open communication and data privacy. This paper critically examines the GFW's principal detection techniques, including Deep Packet Inspection (DPI), domain name tampering, and traffic fingerprinting, and analyzes how they align with broader governmental mechanisms. In parallel, we evaluate emerging countermeasures that leverage obfuscation, encryption, and routing innovations to circumvent these restrictions. By situating technical strategies within the broader context of governance and human rights, this work underscores the ongoing and evolving contest between state-imposed internet controls and individual efforts to maintain unrestricted access to digital resources.
Related papers
- Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance [0.0]
We develop a comprehensive framework designed to regulate AI technologies deployed in high-stakes domains such as defense, finance, healthcare, and education.
Our approach combines rigorous technical analysis, quantitative risk assessment, and normative evaluation to expose systemic vulnerabilities.
arXiv Detail & Related papers (2025-03-09T03:11:32Z) - Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies [49.57278643040602]
Distributed Denial of Service (DDoS) attacks persist as significant threats to online services and infrastructure.<n>This paper offers a comprehensive survey of emerging DDoS attacks and detection strategies over the past decade.
arXiv Detail & Related papers (2025-02-27T11:22:25Z) - Securing Legacy Communication Networks via Authenticated Cyclic Redundancy Integrity Check [98.34702864029796]
We propose Authenticated Cyclic Redundancy Integrity Check (ACRIC)
ACRIC preserves backward compatibility without requiring additional hardware and is protocol agnostic.
We show that ACRIC offers robust security with minimal transmission overhead ( 1 ms)
arXiv Detail & Related papers (2024-11-21T18:26:05Z) - Open Problems in Technical AI Governance [93.89102632003996]
Technical AI governance refers to technical analysis and tools for supporting the effective governance of AI.
This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance.
arXiv Detail & Related papers (2024-07-20T21:13:56Z) - JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding
over Small Language Models [53.83273575102087]
We propose an unsupervised inference-time approach to authorship obfuscation.
We introduce JAMDEC, a user-controlled, inference-time algorithm for authorship obfuscation.
Our approach builds on small language models such as GPT2-XL in order to help avoid disclosing the original content to proprietary LLM's APIs.
arXiv Detail & Related papers (2024-02-13T19:54:29Z) - The Spectre of Surveillance and Censorship in Future Internet Architectures [13.706994850776573]
Some governments perceive Internet access as a threat to their political standing and engage in widespread network surveillance and censorship.<n>We provide an in-depth analysis of the design principles of prominent FIAs in terms of their packet structure, addressing and naming schemes, and routing protocols.<n>We conclude by providing guidelines for future research into novel FIA-based privacy-enhancing technologies.
arXiv Detail & Related papers (2024-01-29T01:27:44Z) - A Comprehensive Analytical Review on Cybercrime in West Africa [0.0]
West-Africa countries face significant cybercrime challenges, exacerbated by inadequate resources and a dearth of security experts.
This study pinpoints potential cybercrime prevention strategies, such as leveraging the Triage framework.
Our research findings highlight the urgency for policymakers and law enforcement agencies to devise more efficient prevention strategies.
arXiv Detail & Related papers (2024-01-07T23:36:43Z) - Graph Mining for Cybersecurity: A Survey [61.505995908021525]
The explosive growth of cyber attacks nowadays, such as malware, spam, and intrusions, caused severe consequences on society.
Traditional Machine Learning (ML) based methods are extensively used in detecting cyber threats, but they hardly model the correlations between real-world cyber entities.
With the proliferation of graph mining techniques, many researchers investigated these techniques for capturing correlations between cyber entities and achieving high performance.
arXiv Detail & Related papers (2023-04-02T08:43:03Z) - Upgrading the protection of children from manipulative and addictive
strategies in online games: Legal and technical solutions beyond privacy
regulation [0.0]
We discuss manipulative and exploitative strategies in the context of online games for children.
We propose an upgrade for the regulatory approach to address these risks from the perspective of freedom of thought.
arXiv Detail & Related papers (2022-07-20T14:13:17Z) - Zero Botnets: An Observe-Pursue-Counter Approach [8.30754292538163]
Adversarial Internet robots (botnets) represent a growing threat to the safe use and stability of the Internet.
Reducing the presence of botnets on the Internet, with the aspirational target of zero, is a powerful vision for galvanizing policy action.
arXiv Detail & Related papers (2022-01-16T15:17:20Z) - Adversarial Machine Learning Attacks and Defense Methods in the Cyber
Security Domain [58.30296637276011]
This paper summarizes the latest research on adversarial attacks against security solutions based on machine learning techniques.
It is the first to discuss the unique challenges of implementing end-to-end adversarial attacks in the cyber security domain.
arXiv Detail & Related papers (2020-07-05T18:22:40Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.