A new efficient approach for detecting single and multiple black hole attacks

被引:3
|
作者
Khalladi, Rachid [1 ]
Rebbah, Mohammed [1 ]
Smail, Omar [1 ]
机构
[1] Univ Mustapha Stambouli Mascara, Comp Sci Dept, Mascara, Algeria
来源
JOURNAL OF SUPERCOMPUTING | 2021年 / 77卷 / 07期
关键词
MANET; AODV; Black hole; Malicious nodes; Multiple attacks; SPlitted AACK; INTRUSION-DETECTION SYSTEM;
D O I
10.1007/s11227-020-03596-1
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile Ad hoc NETworks (MANET) are networks without infrastructure. The communication range among nodes is limited, where several hops are needed to transmit a packet from the source to the destination. These networks have a constantly changing topology due to its mobile nodes and their arbitrary connections, which make it vulnerable for different attacks. One of the most important attacks in MANET is the black hole attack which degrades the performance of the network by removing all the packets passing through it. There are several techniques for detecting black hole attacks in the ad hoc on demand vector protocol. In this paper, a new approach based on AACK is proposed. The proposed system is to detect the single and multiple black hole attacks by intrusion detection system with SPlitted AACK technique. The system is robust enough to detect all black hole attacks by using an iterative split of the main path until the detection of the malicious nodes. Network simulator 2 is used for simulation. We tested our system on different networks with different network sizes and different numbers of attacks, and we compared our results with some existing intrusion detection system techniques.
引用
收藏
页码:7718 / 7736
页数:19
相关论文
共 50 条
  • [1] A new efficient approach for detecting single and multiple black hole attacks
    Rachid Khalladi
    Mohammed Rebbah
    Omar Smail
    The Journal of Supercomputing, 2021, 77 : 7718 - 7736
  • [2] An Adaptive Approach to Detecting Black and Gray Hole Attacks in Ad Hoc Network
    Cai, Jiwen
    Yi, Ping
    Chen, Jialin
    Wang, Zhiyang
    Liu, Ning
    2010 24TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 2010, : 775 - 780
  • [3] A Novel Approach for Detection of Single and Collaborative Black Hole Attacks in MANET
    Arathy, K. S.
    Sminesh, C. N.
    1ST GLOBAL COLLOQUIUM ON RECENT ADVANCEMENTS AND EFFECTUAL RESEARCHES IN ENGINEERING, SCIENCE AND TECHNOLOGY - RAEREST 2016, 2016, 25 : 264 - 271
  • [4] Detecting Black-Hole Attacks in WSNs using Multiple Base Stations and Check Agents
    Alattas, Reem
    PROCEEDINGS OF 2016 FUTURE TECHNOLOGIES CONFERENCE (FTC), 2016, : 1020 - 1024
  • [5] Study of detecting and overcoming black hole attacks in MANET: A Review
    Khan, Danista
    Jamil, Mah Zaib
    2017 INTERNATIONAL SYMPOSIUM ON WIRELESS SYSTEMS AND NETWORKS (ISWSN), 2017,
  • [6] A New Approach for Detecting and Eliminating Cooperative Black hole Nodes in MANET
    Dorri, Ali
    Nikdel, Hamed
    2015 7TH CONFERENCE ON INFORMATION AND KNOWLEDGE TECHNOLOGY (IKT), 2015,
  • [7] Dipper Throated Optimization for Detecting Black-Hole Attacks in MANETs
    Alkanhel, Reem
    El-kenawy, El-Sayed M.
    Abdelhamid, Abdelaziz A.
    Ibrahim, Abdelhameed
    Abotaleb, Mostafa
    Khafaga, Doaa Sami
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 74 (01): : 1905 - 1921
  • [8] Detecting DDoS attacks in cloud computing using ANN and black hole optimization
    Kushwah, Gopal Singh
    Ali, Syed Taqi
    2017 2ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATION AND NETWORKS (TEL-NET), 2017, : 355 - 359
  • [9] A Hybrid Approach for Preventing Black and Gray Hole Attacks in MANET
    Khattak, Hizbullah
    Nizamuddin
    2013 EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM), 2013, : 55 - 57
  • [10] An Approach to Mitigate Black Hole Attacks on Vehicular Wireless Networks
    Tobin, John
    Thorpe, Christina
    Murphy, Liam
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,