Cyber Space Security Assessment Case Study

Author:

Said Hanaa. M.1,El Gohary Rania1,Hamdy Mohamed1,Salem Abdelbadeeh M.1

Affiliation:

1. University Ain Shams, Cairo, Egypt

Abstract

Cyberspace is known as the digital electronic medium for the knowing range of securing in the cyberspace. Therefore the importance of inferring the reference measure in the form of assessment procedure to improve the knowledge and making the decision for the e- government services. A series of the standards build on the application of data mining methods specifically represented as decision tress model, Logistic regression, association rules model, Bayesian network for making reference measurements, to measure the extent of securing the data, and the provided services. The authors discuss various types of cyber-attacks describing how data mining helps in detection and prevention of these attacks. A comparative analysis between a set of selected frameworks is presented. Finally this chapter imparts numbers of applications for the data mining Methodologies in Cyber Security. Results applied on the site of the authority for cleaning and beautifying Cairo governorate in Egypt.

Publisher

IGI Global

Reference22 articles.

1. Anirban, B., Jaideep, V., Hiroaki, K., Theo, D., & Srijith, K. (2012). Privacy preserving collaborative filtering for SaaS enabling PaaS clouds. In International Conference on Quality Software-QSIC 2003. Retrieved from http://www.journalofcloudcomputing.com/content/1/1/8

2. Baazaoui, Z., Faiz, S., & Ghezala, H. (2005). A Framework for data mining based multi-agent: An application to spatial data. In Proceedings of World Academy of Science, Engineering and Technology (volume 5, April 2005).

3. An Intelligent Assistant for the Knowledge Discovery Process”, Working Research of the Center for Digital Economy Research, New York University and also presented at the IJCAI;A.Bernstein;2001 Workshop on Wrappers for Performance Enhancement in Knowledge Discovery in Databases,2001

4. Bhavani, M., & Thuraisingham, Q. (2003). Data mining and cyber security. In International Conference on Quality Software - QSIC

5. Botia, J., Garijo, M., Velasco, J., & Skarmeta, A. (1998). A Generic Data mining System basic design and implementation guidelines. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.1935

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