Ecology-Based DoS Attack in Cognitive Radio Networks

被引:1
|
作者
Cheng, Shin-Ming [1 ]
Chen, Pin-Yu [2 ]
机构
[1] Natl Taiwan Univ Sciecne & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
来源
2016 IEEE SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS (SPW 2016) | 2016年
关键词
cognitive radio; denial-of-service (DoS) attack; ecosystems; evolutionary game; selfish behavior; GAME;
D O I
10.1109/SPW.2016.10
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cognitive radio technology, which is designed to enhance spectrum utilization, depends on the success of opportunistic access, where secondary users (SUs) exploit spectrum void unoccupied by primary users (PUs) for transmissions. We note that the system behaviors are very similar to the interactions among different species coexisting in an ecosystem. However, SUs of a selfish nature or of misleading information may make concurrent transmissions with PUs for additional incentives, and thus disrupt the entire ecosystem. By exploiting this vulnerability, this paper proposes a novel distributed denial-of-service (DoS) attack where invasive species, i.e., malicious users (MUs), induce originally normal-behaved SUs to execute concurrent transmissions with PUs and thus collapse the cognitive radio network. We adopt stochastic geometry to model the spatial distributions of PUs, SUs, and MUs for the analysis of the mutual interference among them. The access strategy of each SU in the spectrum sharing ecosystem, which evolves with the experienced payoffs and interference, is modeled by an evolutionary game. Based on the evolutionary stable strategy concept, we could efficiently identify the fragile operating region at which normal-behaved SUs are eventually evolved to conduct concurrent transmissions and thus to cause the ruin of the network.
引用
收藏
页码:104 / 110
页数:7
相关论文
共 50 条
  • [41] Utility-Based Cooperative Spectrum Sensing Scheduling in Cognitive Radio Networks
    Li, Hongjuan
    Xing, Xiaoshuang
    Zhu, Junda
    Cheng, Xiuzhen
    Li, Keqiu
    Bie, Rongfang
    Jing, Tao
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (01) : 645 - 655
  • [42] Collaborative spectrum sensing mechanism based on user incentive in cognitive radio networks
    Sasabe, Masahiro
    Nishida, Tornohiro
    Kasahara, Shoji
    COMPUTER COMMUNICATIONS, 2019, 147 : 1 - 13
  • [43] Cooperative Q-learning based channel selection for cognitive radio networks
    Slimeni, Feten
    Chtourou, Zied
    Scheers, Bart
    Le Nir, Vincent
    Attia, Rabah
    WIRELESS NETWORKS, 2019, 25 (07) : 4161 - 4171
  • [44] A Novel Price-based Algorithm for Spectrum Sharing in Cognitive Radio Networks
    Lee, Bih-Hwang
    Weng, Meng-Dung
    Wu, Huai-Kuei
    2014 IEEE 79TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-SPRING), 2014,
  • [45] Leveraging An Inventory of the Cognitive Radio Attack Surface
    Abadie, Andre'
    Wijesekera, Duminda
    2012 ASE INTERNATIONAL CONFERENCE ON CYBER SECURITY (CYBERSECURITY), 2012, : 136 - 143
  • [46] Instant overbooking framework for cognitive radio networks
    Cavdar, Tugrul
    Guler, Erkan
    Sadreddini, Zhaleh
    COMPUTER NETWORKS, 2015, 76 : 227 - 241
  • [47] Matching theory for cognitive radio networks: An overview
    Chowdhury, Sayantan
    ICT EXPRESS, 2019, 5 (01): : 12 - 15
  • [48] Bayesian Decision Model with Trilateration for Primary User Emulation Attack Localization in Cognitive Radio Networks
    Fihri, Wassim Fassi
    El Ghazi, Hassan
    Kaabouch, Naima
    Abou El Majd, Badr
    2017 INTERNATIONAL SYMPOSIUM ON NETWORKS, COMPUTERS AND COMMUNICATIONS (ISNCC), 2017,
  • [49] A decision-making approach for detecting the primary user emulation attack in cognitive radio networks
    Fihri, Wassim Fassi
    El Ghazi, Hassan
    Abou El Majd, Badr
    El Bouanani, Faissal
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2019, 32 (15)
  • [50] AdS: An adaptive spectrum sensing technique for survivability under jamming attack in Cognitive Radio Networks
    Amjad, Muhammad Faisal
    Afzal, Hammad
    Abbas, Haider
    Subhani, Abdul B.
    COMPUTER COMMUNICATIONS, 2021, 172 (172) : 25 - 34