Randomized Differential DSSS: Jamming-Resistant Wireless Broadcast Communication

Yao, Liu; Ning, Peng; Dai, Huaiyu; Liu, An

doi:10.1109/infcom.2010.5462156

Cited by 163 publications

(88 citation statements)

References 19 publications

(30 reference statements)

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“…The following simulation setting is adopted unless otherwise noted: the number of channels C = 64, O = 10bits, L = 300 bits, R = 1kbps, C j = 640/sec, and M = 5. Fig.1 shows the average network broadcast delay (in time slots) for different number of relays 4 . We can see that Collaborative UFH significantly outperforms UFH and appropriate selection of the number of relays further improves the network throughput.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Analysis and optimization on jamming-resistant collaborative broadcast in large-scale networks

Dai

Xiao

et al. 2010

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

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Abstract-Uncoordinated Frequency Hopping (UFH) is a viable anti-jamming solution without dependency on pre-shared secret keys, which nonetheless suffers from low communication efficiency. The Collaborative UFH (CUFH) scheme proposed recently in [1] dramatically improves both communication efficiency and jamming resistance of UFH with the help of relays. In this paper we study CUFH in a large scale broadcast network, with the number of nodes (much) larger than that of channels. In particular the optimal number of relays is derived and the trade-off on the number of packets a message is divided into is investigated, with respect to the network broadcast delay. In addition both upper and lower bounds of the average network broadcast delay are evaluated. Our analytical results are substantiated by simulations.

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Section: Simulation Resultsmentioning

confidence: 99%

“…A common strategy adopted by most works is to introduce randomness on the selection of spreading code sequences in DSSS or hopping channels in FH. Uncoordinated DSSS (UDSSS) [2], Uncoordinated FH (UFH) [3] and Randomized Differential DSSS (RD-DSSS) [4] belong to this category. In UDSSS (resp.…”

Section: Introductionmentioning

confidence: 99%

Analysis and optimization on jamming-resistant collaborative broadcast in large-scale networks

Dai

Xiao

et al. 2010

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

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“…Intruders only need to connect to communication channels rather than authenticated networks in the smart grid, it is very easy for them to launch DoS attacks against the smart grid communication networks, especially for the wireless-based communication networks that are susceptible to jamming attacks [39]- [41]. Hence, it is of critical importance to evaluate the impact of DoS attacks on the smart grid and to design effective countermeasures to such attacks.…”

Section: Availabilitymentioning

confidence: 99%

A Survey on Cyber Security for Smart Grid Communications

Yan

Qian

Sharif

et al. 2012

IEEE Commun. Surv. Tutorials

583

238

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Abstract-A smart grid is a new form of electricity network with high fidelity power-flow control, self-healing, and energy reliability and energy security using digital communications and control technology. To upgrade an existing power grid into a smart grid, it requires significant dependence on intelligent and secure communication infrastructures. It requires security frameworks for distributed communications, pervasive computing and sensing technologies in smart grid. However, as many of the communication technologies currently recommended to use by a smart grid is vulnerable in cyber security, it could lead to unreliable system operations, causing unnecessary expenditure, even consequential disaster to both utilities and consumers. In this paper, we summarize the cyber security requirements and the possible vulnerabilities in smart grid communications and survey the current solutions on cyber security for smart grid communications.

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“…However, UDSSS is vulnerable to reactive jamming attacks. RD-DSSS [16] also proposes a similar technique that can be resistant to reactive jamming attacks. BBC [9] proposes a coding approach to encode data to be transmitted into "indelible" marks that can be decoded without any prior knowledge of keys.…”

Section: Related Workmentioning

confidence: 99%

Alibi Framework for Identifying Reactive Jamming Nodes in Wireless LAN

Nguyen

Pongthawornkamol

Nahrstedt

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Reactive jamming nodes are the nodes of the network that get compromised and become the source of jamming attacks. They assume to know any shared secrets and protocols used in the networks. Thus, they can jam very effectively and are very stealthy. We propose a novel approach to identifying the reactive jamming nodes in wireless LAN (WLAN). We rely on the half-duplex nature of nodes: they cannot transmit and receive at the same time. Thus, if a compromised node jams a packet, it cannot guess the content of the jammed packet. More importantly, if an honest node receives a jammed packet, it can prove that it cannot be the one jamming the packet by showing the content of the packet. Such proofs of jammed packets are called "alibis" -the key concept of our approach.In this paper, we present an alibi framework to deal with reactive jamming nodes in WLAN. We propose a concept of alibi-safe topologies on which our proposed identification algorithms are proved to correctly identify the attackers. We further propose a realistic protocol to implement the identification algorithm. The protocol includes a BBC-based timing channel for information exchange under the jamming situation and a similarity hashing technique to reduce the storage and network overhead. The framework is evaluated in a realistic TOSSIM simulation where the simulation characteristics and parameters are based on real traces on our small-scale MICAz test-bed. The results show that in reasonable dense networks, the alibi framework can accurately identify both non-colluding and colluding reactive jamming nodes. Therefore, the alibi approach is a very promising approach to deal with reactive jamming nodes.

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Randomized Differential DSSS: Jamming-Resistant Wireless Broadcast Communication

Cited by 163 publications

References 19 publications

Analysis and optimization on jamming-resistant collaborative broadcast in large-scale networks

Analysis and optimization on jamming-resistant collaborative broadcast in large-scale networks

A Survey on Cyber Security for Smart Grid Communications

Alibi Framework for Identifying Reactive Jamming Nodes in Wireless LAN

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