Anti-Phishing Awareness Delivery Methods

Author:

Darem A.

Abstract

Phishing attacks are increasingly exploited by cybercriminals, they become more sophisticated and evade detection even by advanced technical countermeasures. With cybercriminals resorting to more sophisticated phishing techniques, strategies, and different channels such as social networks, phishing is becoming a hard problem to solve. Therefore, the main objective for any anti-phishing solution is to minimize phishing success and its consequences through complementary means to advanced technical countermeasures. Specifically, phishing threats cannot be controlled by technical controls alone, thus it is imperative to complement cybersecurity programs with cybersecurity awareness programs to successfully fight against phishing attacks. This paper provides a review of the delivery methods of cybersecurity training programs used to enhance personnel security awareness and behavior in terms of phishing threats. Although there are a wide variety of educational intervention methods against phishing, the differences between the cybersecurity awareness delivery methods are not always clear. To this end, we present a review of the most common methods of workforce cybersecurity training methods in order for them to be able to protect themselves from phishing threats.

Publisher

Engineering, Technology & Applied Science Research

Reference33 articles.

1. APWG, Phishing Activity Trends Report, 1st Quarter. Anti-Phishing Working Group, 2020.

2. J. Abawajy, "User preference of cyber security awareness delivery methods," Behaviour & Information Technology, vol. 33, no. 3, pp. 237–248, Mar. 2014, https://doi.org/10.1080/0144929X.2012.708787.

3. "2021 Report on Phishing Attacks - State of the Phish," Proofpoint, Mar. 30, 2021. https://www.proofpoint.com/us/resources/threat-reports/state-of-phish (accessed Nov. 23, 2021).

4. "Facebook Phishing: Why Social Media is a New Phishers’ Favorite," Vade Secure. https://www.vadesecure.com/en/blog/facebook-phishing-is-exploding (accessed Nov. 23, 2021).

5. E. D. Frauenstein and S. Flowerday, "Susceptibility to phishing on social network sites: A personality information processing model," Computers & Security, vol. 94, Jul. 2020, Art. no. 101862, https://doi.org/10.1016/j.cose.2020.101862.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3