The Role of Deception in Securing Our Cyberspace

Author:

Mphago Banyatsang1ORCID,Mpoeleng Dimane1,Masupe Shedden2

Affiliation:

1. Botswana International University of Science and Technology, Botswana

2. Botswana Institute for Technology Research and Innovation, Botswana

Abstract

The use of deception systems is a viable option in reducing the never-ending tussle between the attackers and the defenders. The deception systems give the defenders an edge over their counterparts since they provide the platform to learn the methods and techniques the attackers use. However, the effectiveness of the deception system is highly dependent on how they truly hide their identity. A deceptive honeypot has the capacity to persuade and change the cognitive behavior of an attacker. An attacker whose cognitive behavior has been altered by the deception capabilities of a honeypot is more likely to reveal his attack methods; hence, the defenders are able to learn how to defend against those future attacks.

Publisher

IGI Global

Reference21 articles.

1. Baumann, R., & Plattner, C. (2002). White Paper: Honeypots. Academic Press.

2. Cheswick, B. (1992, January). An Evening with Berferd in which a cracker is Lured, Endured, and Studied. In Proc. Winter USENIX Conference, San Francisco (pp. 20-24). Academic Press.

3. De Faveri, C., Moreira, A., & Souza, E. (2017). Deception planning models for Cyber Security. 2017 17th International Conference on Computational Science and Its Applications (ICCSA), 1–8.

4. Fu, X., Yu, W., Cheng, D., Tan, X., Streff, K., & Graham, S. (2006). On recognizing virtual honeypots and countermeasures. 2006 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, 211–218.

5. Gibbens, M. (1999). Honeypots. Academic Press.

Cited by 1 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

1. A Novel and Secure Framework to Detect Unauthorized Access to an Optical Fog-Cloud Computing Network;2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC);2022-11-25

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