Optimal Jamming Attacks and Network Defense Policies in Wireless Sensor Networks

Li, Mingyan; Koutsopoulos, Iordanis; Poovendran, Radha

doi:10.1109/infcom.2007.155

Cited by 225 publications

(142 citation statements)

References 14 publications

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“…Due to the topic's importance, wireless network jamming has been extensively studied in the applied research fields [1, 5, 6, 22, 26-28, 30, 31, 39, 41-43], both from the attacker's perspective [6,26,27,43] as well as from the defender's perspective [1,5,6,27,28,30,41,43]-also in multi-hop settings (e.g. [21,32,[45][46][47]).…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, a jammer that simultaneously blocks a small number of frequencies renders spread spectrum techniques useless in this case. As jamming strategies can come in many different flavors, detecting jamming activities by simple methods based on signal strength, carrier sensing, or packet delivery ratios has turned out to be quite difficult [27].…”

Section: Related Workmentioning

confidence: 99%

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Competitive throughput in multi-hop wireless networks despite adaptive jamming

et al. 2012

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This article presents a simple local medium access control protocol, called Jade, for multi-hop wireless networks with a single channel that is provably robust against adaptive adversarial jamming. The wireless network is modeled as a unit disk graph on a set of nodes distributed arbitrarily in the plane. In addition to these nodes, there are adversarial jammers that know the protocol and its entire history and that are allowed to jam the wireless channel at any node for an arbitrary (1 − )-fraction of the time steps, where 0 < < 1 is an arbitrary constant. We assume that nodes can perform collision detection (unless they are transmitting themselves), but that they cannot distinguish between jammed transmissions and collisions of regular messages. Nevertheless, we show that Jade achieves an asymptotically optimal throughput by efficiently exploiting the unpredictable time periods in which the medium is available.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Competitive throughput in multi-hop wireless networks despite adaptive jamming

et al. 2012

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“…RELATED WORK Jamming-resistant communication has long been an active research area [10], [11], [13], [19]. To provide jammingresistant broadcast, several group-based schemes were studied [3]- [5].…”

Section: Performance Analysismentioning

confidence: 99%

Adaptive Jamming-Resistant Broadcast Systems with Partial Channel Sharing

Dong

Liu

2010

2010 IEEE 30th International Conference on Distributed Computing Systems

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Abstract-Wireless communication is particularly vulnerable to signal jamming attacks. Spread spectrum mitigates such problem by spreading normal narrowband signals over a much wider band of frequencies and forcing jammers who do not know such spread pattern to invest much more effort to launch attacks. However, in broadcast systems, jammers can easily find out the spread pattern by compromising some receivers. Several groupbased approaches have been proposed to deal with insider jammers who can compromise receivers in broadcast systems; they can tolerate t malicious receivers as long as the system can afford 2t additional copies for each broadcast message. This paper introduces a novel jamming-resistant broadcast system that organizes receivers into multiple channel-sharing broadcast groups and isolates malicious receivers using adaptive re-grouping. By letting receivers in different groups partially share their channels, this scheme reduces the extra communication cost from 2t to (2 − ρ)t copies, where ρ is the channel sharing factor (0<ρ<1); this is much closer to optimal given the previously proven lower bound of t additional copies. In addition, a sequential test based scheme is also proposed to further improve the performance so that ρ can be set larger to save more communication cost without reducing security. The analytic and simulation results show that the proposed approaches greatly push limit of jamming-resistant broadcast towards optimal.

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“…For example, jammers can be classified in terms of capabilities (broadband or narrowband) or behaviors (constant, deceptive, random, reactive) [8]. Jammers discussed and used in prior works [6][7][8][9][10][11] can be also categorized based on their working layers in the network stack. Physical layer jammers directly emit energy on communication channels to interfere the reception of legitimate transmissions.…”

Section: Related Workmentioning

confidence: 99%

Compromise-Resilient Anti-jamming for Wireless Sensor Networks

Jiang

Zhu

2010

Information and Communications Security

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Abstract. Jamming is a kind of Denial-of-Service (DoS) attack in which an adversary purposefully emits radio frequency signals to corrupt wireless transmissions. Thus, the communications among normal sensor nodes become difficult or even impossible. Although some research has been conducted on countering jamming attacks, few works considered jamming by insiders. Here, an attacker first compromises some legitimate sensor nodes to acquire the common cryptographic information of the sensor network and then jams the network through those compromised sensors. In this paper, as our initial effort, we propose a compromise-resilient anti-jamming scheme called split-pairing scheme to deal with single insider jamming problem in a one-hop network setting. In our solution, the physical communication channel of a sensor network is determined by the group key shared by all the sensor nodes. When insider jamming happens, the network will generate a new group key to be shared only by all non-compromised nodes. After that, the insider jammer is revoked and will be unable to predict the future communication channels used by non-compromised nodes. We implement and evaluate our solution using the Mica2 Mote platform and show it has low recovery latency and communication overhead, and it is a practical solution for resource constrained sensor networks under the single insider jamming attack.

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Optimal Jamming Attacks and Network Defense Policies in Wireless Sensor Networks

Cited by 225 publications

References 14 publications

Competitive throughput in multi-hop wireless networks despite adaptive jamming

Competitive throughput in multi-hop wireless networks despite adaptive jamming

Adaptive Jamming-Resistant Broadcast Systems with Partial Channel Sharing

Compromise-Resilient Anti-jamming for Wireless Sensor Networks

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