Detection of Sinkhole Attack in Wireless Sensor Network

被引:5
|
作者
Raju, Imandi [1 ]
Parwekar, Pritee [1 ]
机构
[1] Anil Neerukonda Inst Technol & Sci, Visakhapatnam, Andhra Pradesh, India
关键词
Wireless sensor networks; Security; RSSI; LQI; Intrusion detection system; Sinkhole attacks;
D O I
10.1007/978-81-322-2526-3_65
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we proposed an efficient rule-based intrusion detection system for identifying sinkhole attacks in Wireless Sensor Networks (WSN). The sensor nodes in network are deployed in various hostile environments. The nature of WSNs is wireless and hence, security is the major challenging issue. Sinkhole attack is the major common internal attack on WSNs. These attacks are performed by creating a malicious node with the highest transmission range to the base station. Then this node broadcast sends fake routing message to all its neighbor nodes. We considered popular link quality-based multi-hop routing protocol named as Mint-Route protocol. To identify sinkhole attack, we have implemented an IDS system which consists of suitable rules. These rules will allow the IDS to detect the malicious node successfully. We demonstrated this method in random dissemination of sensor nodes in WSNs. We experimented to confirm the accuracy of our anticipated method.
引用
收藏
页码:629 / 636
页数:8
相关论文
共 50 条
  • [21] Intrusion Detection Algorithm Based on Neighbor Information Against Sinkhole Attack in Wireless Sensor Networks
    Han, Guangjie
    Li, Xun
    Jiang, Jinfang
    Shu, Lei
    Lloret, Jaime
    COMPUTER JOURNAL, 2015, 58 (06): : 1280 - 1292
  • [22] DETECTION ALGORITHM OF SINKHOLE ATTACK IN SOFTWARE-DEFINED WIRELESS SENSOR COGNITIVE RADIO NETWORKS
    Sejaphala, Lanka Chris
    Velempini, Mthulisi
    2017 GLOBAL WIRELESS SUMMIT (GWS), 2017, : 151 - 154
  • [23] Sinkhole Attack Detection in A Wireless Sensor Networks using Enhanced Ant Colony Optimization to Improve Detection Rate
    Nwankwo, Kenneth E.
    Abdulhamid, Shafi'i Muhammad
    2019 2ND INTERNATIONAL CONFERENCE OF THE IEEE NIGERIA COMPUTER CHAPTER (NIGERIACOMPUTCONF), 2019, : 239 - 244
  • [24] Detection and Prevention Mechanism for Blackhole Attack in Wireless Sensor Network
    Wazid, Mohammad
    Katal, Avita
    Sachan, Roshan Singh
    Goudar, R. H.
    Singh, D. P.
    2013 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2013, : 576 - 581
  • [25] A Detection and Prevention of Wormhole Attack in Homogeneous Wireless Sensor Network
    Bhagat, Swati
    Panse, Trishna
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ICT IN BUSINESS INDUSTRY & GOVERNMENT (ICTBIG), 2016,
  • [26] Detection and Prevention Analysis of Wormhole Attack in Wireless Sensor Network
    Dwivedi, Rajendra Kumar
    Sharma, Prachi
    Kumar, Rakesh
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING, 2018, : 727 - 732
  • [27] Attack Detection in Wireless Sensor Network: A Big Data Perspective
    Kulkarni, A. V.
    Mithra, V.
    Menon, Radhika
    CYBERNETICS AND SYSTEMS, 2024, 55 (08) : 2512 - 2539
  • [28] Detection of Jamming Style DoS attack in Wireless Sensor Network
    Manju, V. C.
    Kumar, Sasi M.
    2012 2ND IEEE INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC), 2012, : 563 - 567
  • [29] A New Sybil Attack Detection for Wireless Body Sensor Network
    Liu, Ruixia
    Wang, Yinglong
    2014 TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2014, : 367 - 370
  • [30] A NOVEL SYBIL ATTACK DETECTION SCHEME FOR WIRELESS SENSOR NETWORK
    Tian, Bin
    Yao, Yizhan
    Shi, Lei
    Shao, Shuai
    Liu, Zhaohui
    Xu, Changxing
    2013 5TH IEEE INTERNATIONAL CONFERENCE ON BROADBAND NETWORK & MULTIMEDIA TECHNOLOGY (IC-BNMT), 2013, : 294 - 297