An improved k-Means Clustering algorithm for Intrusion Detection using Gaussian function

Author:

Kumar Gunupudi Rajesh,Mangathayaru N.,Narasimha G.

Publisher

ACM Press

Reference20 articles.

1. Alok Sharma, Arun K Pujari, Kuldip K Paliwal, Intrusion Detection using text processing techniques with a kernel based similarity measure, Elsevier Journal of Computers and Security, P. 488--495 2007

2. Yihua Liao, V. Rao Vemuri, Using Text Categorization Techniques for Intrusion Detection, Proceedings of the 11th USENIX Security Symposium, Pages 51--59 USENIX Association Berkeley, CA, USA 2002

3. Review: A survey of intrusion detection techniques in Cloud, ChiragModi, Dhiren Patel, BhaveshBorisaniya, Hiren Patel, Avi Patel, MuttukrishnanRajarajan, Elsevier Journal of Network and Computer Applications

4. Towards adaptive character frequency-based exclusive signature matching scheme and its applications in distributed intrusion detection, YuxinMeng, Wenjuan Li, Lam--For Kwok, Computer Networks 57 (2013) 3630--3640, 2013

5. Review: A survey of intrusion detection techniques in Cloud, ChiragModi, Dhiren Patel, BhaveshBorisaniya, Hiren Patel, Avi Patel, MuttukrishnanRajarajan, Elsevier Journal of Network and Computer Applications

Cited by 21 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. Open DGML: Intrusion Detection Based on Open-Domain Generation Meta-Learning;Applied Sciences;2024-06-22

2. AI-Powered Network Intrusion Detection: A New Frontier in Cybersecurity;2023 24th International Arab Conference on Information Technology (ACIT);2023-12-06

3. The Implementation of Supervised Algorithms for Intrusion Detection for Internet of Things Devices in Smart Home;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

4. Enhancing Intrusion Detection Systems for IoT and Cloud Environments Using a Growth Optimizer Algorithm and Conventional Neural Networks;Sensors;2023-04-30

5. Detection of Intrusions using Support Vector Machines and Deep Neural Networks;2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2022-10-13

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