僵尸网络
尽职调查
网络空间
业务
背景(考古学)
义务
计算机安全
执法
计算机的法律问题
互联网隐私
法律与经济学
法学
政治学
互联网
经济
计算机科学
生物
万维网
财务
古生物学
作者
Abhijeet Shrivastava,Rudraksh Lakra
出处
期刊:International Journal of Law and Information Technology
[Oxford University Press]
日期:2022-09-01
卷期号:30 (3): 321-349
被引量:1
标识
DOI:10.1093/ijlit/eaac021
摘要
Abstract The emergence of cyberspace has been followed by increasingly unpredictable threats to cybersecurity, including Botnets, which have been frequently exploited in cyber-criminal activities affecting dozens or hundreds of States at once. In existing scholarship, many reasons have informed growing support for the promise of ‘due diligence’ obligations in regulating transboundary cyber operations. We affirm this position through a study of the specific context of Botnets, although bringing much-needed caution and complexity to the discourse. We offer a comprehensive account of the standard of conduct expected of States in detecting, mitigating and preventing Botnet-linked harms under due diligence; as well as to pursue cyber capacity building toward discharging these obligations. In so doing, we problematize and elaborate on the nature of due diligence as an obligation of conduct, therefore accounting for differential State capacities against Botnet-linked harms. The paper involves attempts to unpack a coherent conception of due diligence, appreciating the spectrum of obligations that it demands, and demonstrating these nuances through an appraisal of good practices adopted by States and private actors against Botnets. Consequently, we provide a unique holistic account of how States and their law enforcement could practically understand the conduct expected of them when faced with transboundary Botnets on a case-to-case basis. In the end, while underscoring potential dilemmas within this legal regime that may be faced by target States, as also its unresolved questions, we submit that due diligence is indeed the most appropriate candidate to act as a legal arsenal against transboundary Botnets.
科研通智能强力驱动
Strongly Powered by AbleSci AI