重新认识网络犯罪:在印度法律背景下区分网络犯罪、网络攻击和网络恐怖主义的框架

Gargi Sarkar , Sandeep K. Shukla
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引用次数: 0

摘要

从法律角度看,在处理针对个人、组织和民族国家的网络犯罪方面存在显著差异。这些差异的产生是由于目标、动机或影响等关键因素的不同而造成的。本文借鉴了印度 2008 年《信息技术修正案》(ITAA),分析了这些因素如何规范网络犯罪,并由此对当前文献进行了全面分析,以区分网络犯罪、网络攻击和网络恐怖主义。提出的框架包括一个目标-影响(意图)模型,用于区分非法在线活动,并辅以对行为者-意图模型的讨论,强调其在法律范围内的处理和影响。文章探讨了网络犯罪的目标-影响(意图)定义,强调了其在捕捉网络方面并将其与网络攻击区分开来方面的重要意义。文章通过案例研究有效地说明了这些区别。此外,文章还强调了与所确定的分类相对应的缓解策略、调查规程、惩罚措施和法律后果方面的差异。最后,文章纳入了犯罪学和社会学理论的见解,讨论了行为者意图模型如何与常规活动理论相一致,并探讨了利用制度理论区分网络犯罪的尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconceptualizing online offenses: A framework for distinguishing cybercrime, cyberattacks, and cyberterrorism in the Indian legal context

From a legal standpoint, there are significant disparities in treating online offenses targeting individuals, organizations, and nation-states. These disparities arise due to influences that vary discreetly based on crucial factors such as the target, motive, or impact. This article draws upon the Information Technology Amendment Act (ITAA) of 2008 in India, analyses how these factors regulate online crimes, and thereby conducts a comprehensive analysis of current literature to differentiate cybercrime, cyberattacks, and cyberterrorism. The proposed framework includes a target-impact (intent) model to differentiate illicit online activities, complemented by a discussion on the actor-intent model, which emphasizes their treatment and implications within the legal context. The article explores the target-impact (intent) definition of cybercrime, highlighting its significance in capturing the cyber aspect and differentiating it from cyberattacks. Case studies are presented to illustrate these distinctions effectively. Furthermore, the article highlights variations in mitigation strategies, investigative protocols, punitive measures, and legal consequences corresponding to the identified classifications. Lastly, it incorporates insights from theoretical criminology and sociology, discusses how the actor-intent model aligns with the routine activity theory, and explores attempts to distinguish online crimes using the institutional theory.

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