A Multi-layer Model for Website Defacement Detection

Author:

Hoang Xuan Dau1,Nguyen Ngoc Tuong1

Affiliation:

1. Cyber Security Lab, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

Funder

Ministry of Science and Technology, Vietnam

Publisher

ACM Press

Reference16 articles.

1. Digistar.vn. What is web defacement attack and defensive measures, https://www.digistar.vn/tan-cong-giao-dien-deface-la-gi-va-cach-khac-phuc/, last accessed 2019/08/10.

2. M. Romagna, N.J. van den Hout. 2017. Hacktivism and Website Defacement: Motivations, Capabilities and Potential Threats. In: 27th Virus Bulletin International Conference, Vol. 1, Madrid, Spain, 2017.

3. Wang Wei. Rise in website Defacement attacks by Hackers around the World, https://thehackernews.com/2013/11/rise-in-website-defacement-attacks-by.html, last accessed 2019/08/10.

4. Banff Cyber Technologies. Best Practices to address the issue of Web Defacement. Available online: https://www.banffcyber.com/knowledge-base/articles/best-practices-address-issue-web-defacement/, last accessed 2019/08/10.

5. VNCS. VNCS -- Central website monitoring solution, http://vncs.vn/portfolio/giai-phap-giam-sat-websites-tap-trung, last accessed 2019/08/10.

Cited by 6 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. SecDAN: Prevention of Network Breaches in Defense Area Network Using Machine Learning Techniques;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

2. Methodology for Safeguarding Cloud Server from Web Application Attacks;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

3. Comparative Analysis of Deep Learning Models for Web Defacement Detection Based on Textual Context;2023 IEEE International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs);2023-08-22

4. Performance Evaluation of Machine Learning Algorithms for Website Defacement Attack Detection;2023 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2023-07-07

5. Website Defacement Detection and Monitoring Methods: A Review;Electronics;2022-11-01

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