Detection and Prevention of Vampire Attack for MANET
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-7486-3_9
Reference22 articles.
1. Sreenivasa Chakravarthi S, Veluru S (2014) A review on intrusion detection techniques and intrusion detection systems in MANETS. In: 2014 sixth international conference on computational intelligence and communication networks. Bhopal, India, 14–16 Nov 2014
2. Patel AA, Soni SJ (2015) A novel proposal for defending against vampire attack in WSN. In: 2015 Fifth international conference on communication systems and network technologies. Gwalior, India, 4–6 Apr 2015
3. Kumar S et al (2019) A survey paper on blockchain technology, challenges and opportunities. Int J Comput Trends Technol IJCTT 67(4)
4. Joshi AP, Han M, Wang Y (2018) A survey on security and privacy issues of blockchain technology. Math Found Comput 1(2): 121–147
5. Vasserman EY, Hopper N (2011) Vampire attacks: draining life from wireless ad-hoc sensor networks. IEEE Trans Netw Secur Tech Details 12(2):318–332
Cited by 5 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. Analysis and Modeling of Vampire Attacks in Self-organized Wireless Sensor Networks;2024 XXVII International Conference on Soft Computing and Measurements (SCM);2024-05-22
2. Multi head self-attention gated graph convolutional network based multi‑attack intrusion detection in MANET;Computers & Security;2024-01
3. A fuzzy COPRAS-based decision-making framework for mitigating the impact of vampire sensor nodes in wireless sensor nodes (WSNs);International Journal of Information Technology;2023-03-13
4. Design of Intrusion Detection and Prevention Model Using COOT Optimization and Hybrid LSTM-KNN Classifier for MANET;ICST Transactions on Scalable Information Systems;2022-12-27
5. Vampire Attack Mitigation and Network Performance Improvement Using Probabilistic Fuzzy Chain Set with Authentication Routing Protocol and Hybrid Clustering-Based Optimization in Wireless Sensor Network;Mathematical Problems in Engineering;2022-06-14
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