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Social Engneering: Humans are the Prominent Reason for the Continuance of These Types of Attacks.

机译:社会工程学:人类是继续发生此类攻击的重要原因。

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摘要

Social engineering has received great attention among different scholars. The cases of social engineering are on rise from the assumption that most people fall victims of scams since they are ignorant, greedy or naive. Social engineering attacks come in many different forms ranging from online attacks, perhaps via email, to phone calls. The purpose of this research was to evaluate the techniques that social engineers use to exploit victims. Further, the researcher was determined to assess the tactics that social engineers use in order to exploit victims, the human characteristics that increase susceptibility to victimization by social engineers, and the role played by education, training, and awareness in preventing social engineering attacks. A comprehensive literature was conducted to answer the research questions. The study established that the major tactics employed by social engineers include phishing, baiting, tailgating, pretexting, and quid pro quo. Moreover, personal traits of humans including agreeableness, openness, extraversion, and demographic characteristics increase susceptibility to social engineering attacks. Training, awareness, and education essentially prevent social engineering attacks.;In conclusion, realizing that social engineering attacks are here to stay and cannot be stopped but prevented is the key to successfully understanding social engineering attacks. The best defense a person can take against social engineering attacks is to be aware of their surroundings.
机译:社会工程学受到了不同学者的高度重视。由于大多数人由于无知,贪婪或天真而成为骗局的受害者,因此社会工程学的案例在增加。社会工程攻击的形式多种多样,从在线攻击(可能通过电子邮件)到电话。这项研究的目的是评估社会工程师用来剥削受害者的技术。此外,研究人员决心评估社会工程师用来剥削受害者的策略,增加社会工程师遭受伤害的人性特征以及教育,培训和意识在预防社会工程攻击中的作用。进行了全面的文献回答研究问题。该研究确定,社会工程师采用的主要策略包括网络钓鱼,诱饵,尾注,借口和骗局。而且,人类的个人特征包括和agree可亲,开放,外向和人口特征增加了对社会工程攻击的敏感性。培训,意识和教育从根本上防止了社会工程攻击。总而言之,意识到社会工程攻击将持续存在并且无法制止但被阻止是成功理解社会工程攻击的关键。一个人可以抵御社会工程学攻击的最佳防御方法是了解周围环境。

著录项

  • 作者

    Whiteman, Jack R., III.;

  • 作者单位

    Utica College.;

  • 授予单位 Utica College.;
  • 学科 Criminology.;Computer engineering.;Computer science.
  • 学位 M.S.
  • 年度 2017
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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