Security and Privacy in Communication Networks. 5th International ICST Conference, SecureComm 2009, Athens, Greece, September 14-18, 2009, Revised Selected Papers

Research Article

FIJI: Fighting Implicit Jamming in 802.11 WLANs

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  • @INPROCEEDINGS{10.1007/978-3-642-05284-2_2,
        author={Ioannis Broustis and Konstantinos Pelechrinis and Dimitris Syrivelis and Srikanth Krishnamurthy and Leandros Tassiulas},
        title={FIJI: Fighting Implicit Jamming in 802.11 WLANs},
        proceedings={Security and Privacy in Communication Networks. 5th International ICST Conference, SecureComm 2009, Athens, Greece, September 14-18, 2009, Revised Selected Papers},
        proceedings_a={SECURECOMM},
        year={2012},
        month={5},
        keywords={IEEE 802.11 WLANs Fairness Jamming Measurement},
        doi={10.1007/978-3-642-05284-2_2}
    }
    
  • Ioannis Broustis
    Konstantinos Pelechrinis
    Dimitris Syrivelis
    Srikanth Krishnamurthy
    Leandros Tassiulas
    Year: 2012
    FIJI: Fighting Implicit Jamming in 802.11 WLANs
    SECURECOMM
    Springer
    DOI: 10.1007/978-3-642-05284-2_2
Ioannis Broustis1,*, Konstantinos Pelechrinis1,*, Dimitris Syrivelis2,*, Srikanth Krishnamurthy1,*, Leandros Tassiulas2,*
  • 1: University of California
  • 2: University of Thessaly
*Contact email: broustis@cs.ucr.edu, kpele@cs.ucr.edu, jsyr@inf.uth.gr, krish@cs.ucr.edu, leandros@inf.uth.gr

Abstract

The IEEE 802.11 protocol inherently provides the same long-term throughput to all the clients associated with a given access point (AP). In this paper, we first identify a clever, low-power jamming attack that can take advantage of this behavioral trait: . In other words, the provided by the corresponding AP is drastically degraded. To fight against this attack, we design FIJI, a cross-layer anti-jamming system that detects such intelligent jammers and mitigates their impact on network performance. FIJI looks for anomalies in the AP load distribution to efficiently perform jammer detection. It then makes decisions with regards to shaping the traffic such that: (a) the clients that are not explicitly jammed are shielded from experiencing starvation and, (b) the jammed clients receive the maximum possible throughput under the given conditions. We implement FIJI in real hardware; we evaluate its efficacy through experiments on a large-scale indoor testbed, under different traffic scenarios, network densities and jammer locations. Our measurements suggest that FIJI detects such jammers in real-time and alleviates their impact by allocating the available bandwidth in a fair and efficient way.