Detection and Prevention of Routing Attacks in Internet of Things

被引：15
作者：
Choudhary, Sarika [1 ]
Kesswani, Nishtha [1 ]
机构：
[1] Cent Univ Rajasthan, Dept Comp Sci, Ajmer, Rajasthan, India
来源：
2018 17TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (IEEE TRUSTCOM) / 12TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (IEEE BIGDATASE) | 2018年
关键词：
Internet of Things; Intrusion Detection System (IDS); 6LoWPAN; RPL; Routing Attack; Selective Forwarding; Sinkhole; Security; INTRUSION DETECTION;
D O I：
10.1109/TrustCom/BigDataSE.2018.00219
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Internet of things (IoT) is the smart network which connects smart objects over the Internet. The Internet is untrusted and unreliable network and thus IoT network is vulnerable to different kind of attacks. Conventional encryption and authentication techniques sometimes fail on IoT based network and intrusion may succeed to destroy the network. So, it is necessary to design intrusion detection system for such network. In our paper, we detect routing attacks such as sinkhole and selective forwarding. We have also tried to prevent our network from these attacks. We designed detection and prevention algorithm, i.e., KMA(Key Match Algorithm) and CBA(Cluster-Based Algorithm) in MatLab simulation environment. We gave two intrusion detection mechanisms and compared their results as well. True positive intrusion detection rate for our work is between 50% to 80% with KMA and 76% to 96% with CBA algorithm.
引用
收藏
页码：1537 / 1540
页数：4
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