Bayesian SEM analyses the cyber crime awareness in India

K. Ravichandran, S. Arulchelvan
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Abstract

Crime is a major phenomenon in the world and it is challenging normal life of human society in such crimes as murder, rape, robbery, and computer-related crimes. Cyber-related crimes have happened more to individuals and others. These computer-related crimes are the most important crime and challenging modern society by tracking, hacking, cracking, spamming and morphing through the online network. These trends in Indian media help in preventing cybercrime and creating social awareness to the public. This paper identifies prevention, victimisation, vandalism, terrorism, and impact of media and safety in the social media consolidate environment. In this emergent situation, media is playing an important role in creating cybercrime awareness. This complimentary aims to penetrate and recognise the relationships amongst the antecedents of impact of cyber news in the framework of the civic media incorporate environment by Bayesian approximation and suspect of the structural equation model.
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贝叶斯扫描电镜分析了印度的网络犯罪意识
犯罪是世界上的一个主要现象,它正在挑战人类社会的正常生活,如谋杀、强奸、抢劫和与计算机有关的犯罪。与网络有关的犯罪更多地发生在个人和其他人身上。这些与计算机有关的犯罪是最重要的犯罪,通过在线网络跟踪、黑客攻击、破解、发送垃圾邮件和变形,对现代社会构成了挑战。印度媒体的这些趋势有助于预防网络犯罪,并提高公众的社会意识。本文确定了预防,受害,破坏,恐怖主义,以及在社交媒体整合环境中媒体和安全的影响。在这种紧急情况下,媒体在提高网络犯罪意识方面发挥着重要作用。这一补充旨在通过贝叶斯近似和结构方程模型的怀疑来渗透和认识公民媒体整合环境框架中网络新闻影响的前因之间的关系。
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