Broadcast Control Channel Jamming: Resilience and Identification of Traitors

Chan, Agnes Hui; Liu, Xin; Noubir, Guevara; Thapa, Bishal

doi:10.1109/isit.2007.4557594

Cited by 71 publications

(76 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Advanced jamming techniques fall into multiple categories ranging from using more complex signals to using the knowledge of higher level attack protocols [6,7]. For example, attackers can target control channels to reduce energy expenditure by serveral orders of magnitude over jamming data channels [8,9]. To increase attack efficiency, a jammer can also alternate between jamming and sleeping, either with a constant period and duty cycle in a periodic jamming attack, or using randomized jamming and sleeping durations in a random jamming attack [10].…”

Section: Introductionmentioning

confidence: 99%

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

DeBruhl

Tague

2011

2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)

View full text Add to dashboard Cite

Abstract-Jamming attackers can dramatically increase attack efficiency and stealth by randomly or periodically cycling the jamming transmission on and off, attacks respectively known as random and periodic jamming. In this paper, we analyze the impact of such attacks on the IEEE 802.15.4 communication protocol, commonly used in wireless sensor networking applications, and show that the cycling behavior introduces a narrow spectral component into the received signal. We propose the inclusion of a digital filter at the receiver side to effectively eliminate this spectral component, and we discuss the benefits involved in this filter design. We evaluate the impacts of random and periodic jamming with and without the proposed filter, through implementation in software defined radios. Through our evaluation, we observe over 90% reduction in packet error rate with the proposed digital filter.

show abstract

Section: Introductionmentioning

confidence: 99%

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

DeBruhl

Tague

2011

2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)

View full text Add to dashboard Cite

show abstract

“…Weak message authentication [21] Rogue messages transmitted Encryption [22,23] Control channel jamming [24,25] Loss of availability Antijamming mechanisms [24,26] Amateur Radio Fake GSM and other stations [27] Calls spoofed/intercepted No known solutions Professional Mobile Radio TETRA authentication key cloning [28] TETRA authentication process compromised No known solutions Radio location privacy attack [29] P25 Location privacy breached No known solutions Physical layer jamming [29] P25 Denial of service No known solutions Brute Force Key recovery [30] P25 authentication process compromised No known solutions…”

Section: Sms Messagingmentioning

confidence: 99%

“…If the data and control message channels can be identified, then a control jamming attack can be launched, using significantly lower energy than what would be required to jam all communications channels [24]. If the attackers are already in the network, as insiders or following a successful masquerading attack, a technique detailed in [25] can be used to prevent mobile stations from communicating. It involves jamming only one in 51 frames on a control channel.…”

Section: Cell Broadcast (Cb)mentioning

confidence: 99%

“…Adam et al [70] x x x x x Al Ameen et al [102] x x x x x x Bakar et al [35] x x x x x x x Belala et al [126] x x x x x Bharania [32] x x x x x x x x Bouckaert [33] x x x x x Casoni and Paganelli [43] x x x x x x x x Chan et al [25] x x x x x x x x x Chow et al [101] x x x x Chu et al [48] x x x x x Clark et al [29] x x x x x De Cerchio and Riley [111] x x x x x DHS/FEMA [108] x x x x Gelenbe et al [41,44,86,87] x x x x x x x x x x x x Haji et al [36] x x x x x Hiltz and Gonzalez [48] x x x Jafarnia-Jahromi et al [51] x x x x x Jakobson [122] x x x x x x x x Javaid et al [118] x x x x x Kim et al [117] x x x x x Levin et al [39] x x x x x x Li et al [62] x x x x x Liu et al [26] x x x x x x x Malan et al [61] x x x x x x Michalas et al [80] x x x x x Mitchell et al [56,57] x x x x x x x Rafique et al [106] x x x Rao and Rao et al [55] x x x x x Storey [112] x x x Tran et al [38] x x x x x Walker et al [18,71] x x x x x x x x x Warner et al [52] x x x x x Zeng et al [53] x x x x…”

mentioning

confidence: 99%

See 1 more Smart Citation

A Review of Cyber Threats and Defence Approaches in Emergency Management

2013

View full text Add to dashboard Cite

Emergency planners, first responders and relief workers increasingly rely on computational and communication systems that support all aspects of emergency management, from mitigation and preparedness to response and recovery. Failure of these systems, whether accidental or because of malicious action, can have severe implications for emergency management. Accidental failures have been extensively documented in the past and significant effort has been put into the development and introduction of more resilient technologies. At the same time researchers have been raising concerns about the potential of cyber attacks to cause physical disasters or to maximise the impact of one by intentionally impeding the work of the emergency services. Here, we provide a review of current research on the cyber threats to communication, sensing, information management and vehicular technologies used in emergency management. We emphasise on open issues for research, which are the cyber threats that have the potential to affect emergency management severely and for which solutions have not yet been proposed in the literature.

show abstract

“…Jamming attacks are launched by malicious users to deliberately disrupt the communications of CR users, resulting in denial of service (DoS) in CR networks. Although jamming attacks can occur in any type of channels, data or control, it is reported in [5] that jamming the broadcast channel (BCCH) of the GSM system is several order of magnitude more effective than targeting at all channels. For this reason, any intelligent attacker may prefer control jamming attack than other jamming methods due to its effectiveness of resulting in DoS.…”

Section: Introductionmentioning

confidence: 99%

Multiagent jamming-resilient control channel game for cognitive radio ad hoc networks

Akyildiz

2012

2012 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Abstract-Control channel jamming is a severe security problem in wireless networks. This results from the fact that the attackers can effectively launch the denial of service attacks by jamming the control channels. Traditional approaches to combating this problem such as channel hopping sequences may not be the secure solution against intelligent attackers because the reliability of control channels in cognitive radio ad hoc networks cannot be guaranteed. In this paper, we introduce a jammingresilient control channel (JRCC) game to model the interactions among cognitive radio users and the attacker under the impact of primary user activity. We propose the JRCC algorithm that enables user cooperation to facilitate control channel allocations and adapts to primary user activity with variable learning rates using the Win-or-Learn-Fast principle for jamming-resilience in hostile environments. It is shown that the optimal strategies converge to a Nash equilibrium or the expected rewards of the strategies converge to that of a Nash equilibrium. The results also show that the JRCC algorithm effectively combats jamming under the impact of primary user activity and sensing errors. Moreover, the control channel allocation policy can be improved by enhancing transmission and sensing capabilities. The proposed algorithm is scalable and can be applied to multiple users.

show abstract

Broadcast Control Channel Jamming: Resilience and Identification of Traitors

Cited by 71 publications

References 5 publications

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

A Review of Cyber Threats and Defence Approaches in Emergency Management

Multiagent jamming-resilient control channel game for cognitive radio ad hoc networks

Contact Info

Product

Resources

About