Cross-Layer Based Intrusion Detection and Prevention for Network

Author:

Kumari Reema1,Sharma Kavita2

Affiliation:

1. Galgotias University, India

2. National Institute of Technology Kurukshetra, India

Abstract

Day by day technologies for mobile computing growing rapidly and its network security changed according to their need. The attacker always trying to learn some new techniques to break those security walls of the wireless network. To prevent our network from attacker various defense techniques are used. Firewalls and encryption are used to prevent our network from malware but it is not sufficient for protecting the networks. Many researchers implement new architecture and techniques or mechanism that protect and detect malicious node and their activity over the network that is intrusion detection system (IDS). IDS provides security wall and it provides network security as well as it has continuously monitored and taken appropriate action against the threat. In this Chapter, we are trying to explain some network attack that is resolved or detect through intrusion detection system by exploiting the technology or information that available across different layers of the protocol stack in order to improve the accuracy of detection.

Publisher

IGI Global

Reference31 articles.

Cited by 10 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. Computer Network Information System Security Prevention Methods under the Background of Big Data;Mathematical Problems in Engineering;2022-05-17

2. Challenges in Identifying Network Attacks Using Netflow Data;2021 IEEE 20th International Symposium on Network Computing and Applications (NCA);2021-11-23

3. Anonymous and provably secure authentication protocol using self-certified cryptography for wireless sensor networks;Multimedia Tools and Applications;2021-02-02

4. Communiqué Issues in MANET and VANET Protocols With Network Security Disquiet;Research Anthology on Securing Mobile Technologies and Applications;2021

5. An adaptive, cross layer error control scheme for Distributed Video Coding over Wireless Multimedia Sensor Networks;Multimedia Tools and Applications;2020-08-30

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