Jamming attack detection and countermeasures in wireless sensor network using ant system

Muraleedharan, Rajani; Osadciw, Lisa Ann

doi:10.1117/12.666330

Cited by 83 publications

(52 citation statements)

References 12 publications

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“…Moreover, it can be implemented to simultaneously jam multiple channels. (Muraleedharan and Osadciw, 2006).…”

Section: Function-specific Jammersmentioning

confidence: 99%

“…Wood et al (2003) also show that the JAM in sparse networks does not achieve as good convergence as in moderately connected networks. Muraleedharan and Osadciw (2006) propose an evolutionary algorithm for detecting jamming at the PHY layer and redirects messages to an appropriate destination node. It formulates a hypothesis to test whether a DOS attack is genuine or not.…”

Section: Jam: Jammed-area Mapping Protocolmentioning

confidence: 99%

See 1 more Smart Citation

Jamming and anti-jamming techniques in wireless networks: a survey

Grover

Lim

Yang

2014

IJAHUC

324

192

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Because of the proliferation of wireless technologies, jamming in wireless networks has become a major research problem due to the ease in blocking communication in wireless networks. Jamming attacks are a subset of denial of service (DoS) attacks in which malicious nodes block legitimate communication by causing intentional interference in networks. To better understand this problem, we need to discuss and analyze, in detail, various techniques for jamming and anti-jamming in wireless networks. There are two main aspects of jamming techniques in wireless ad hoc networks: types of jammers and placement of jammers for effective jamming. To address jamming problem, various jamming localization, detection and countermeasure mechanisms are studied. Finally, we describe the open issues in this field, such as energy efficient detection scheme and jammer classification.

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“…Moreover, it can be implemented to simultaneously jam multiple channels. (Muraleedharan and Osadciw, 2006).…”

Section: Function-specific Jammersmentioning

confidence: 99%

Section: Jam: Jammed-area Mapping Protocolmentioning

confidence: 99%

Jamming and anti-jamming techniques in wireless networks: a survey

Grover

Lim

Yang

2014

IJAHUC

324

192

View full text Add to dashboard Cite

show abstract

“…Rajani Muraleedharan and Lisa Ann Osadciw [7] have proposed an extension to the security of physical layer of a predictive sensor network model using the ant system. The physical layer DoS attack is analyzed and a defense mechanism is proposed.…”

Section: B Defense Techniques In Wsnmentioning

confidence: 99%

“…Hence the jammer uses total energy in an effective manner. [4] The work by Rajani Muraleedharan and Lisa Ann Osadciw [7] doesn't consider jammer detection in effective way and this leads to major problem.…”

Section: S Periyanayagi and V Sumathymentioning

confidence: 99%

A Swarm Based Defense Technique for Jamming Attacks in Wireless Sensor Networks

Periyanayagi¹,

Sumathy²

2011

IJCTE

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Abstract-Jamming can interrupt wireless transmission and occur by mistake in form of interference, noise or as collision at the receiver or in the circumstance of an attack. In this paper, we propose a swarm based defense technique for jamming attacks in wireless sensor networks. Swarm intelligence algorithm is proficient enough to adapt change in network topology and traffic. The sender and receiver change channels in order to stay away from the jammer, in channel hoping technique. The jammers remain on a single channel, hoping to disrupt any fragment that may be transmitted in the pulse jamming technique. Using the swarm intelligence technique, the forward ants either unicast or broadcast at each node depending on the availability of the channel information for end of the channel. If the channel information is available, the ants randomly choose the next hop. As the backward ants reaches the source, the data collected is verified which channel there is prevalence of attacker long time, and those are omitted. Simultaneously the forward ants are sent through other channels which are not detected before for attacks. This scheme helps limit the channel maintenance overhead. By simulation results, it is clear that this swarm based defense technique for jamming attack is more effective than the existing works.

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“…In [19], the problem of destructive signals was investigated in a scenario, called a MIMO Gaussian Rayleigh-fading channel. The interaction between the destructive signal generator and the transmitter-receiver pair was modeled as a zero-sum game, in which the attacker attempts to minimize the mutual information between the transmitted and received signals, while the defenders attempt to maximize it.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Security Approach using Game Theory to Detect DoS Attacks In IoT

Yazdankhah¹,

Honarvar²

2017

ijacsa

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Abstract-The Internet of Things (IoT) is a new concept in the world of Information and Communication Technology (ICT).The structure of this global network is highly interconnected and presents a new category of challenges from the security, trust, and privacy perspectives. The data transfer problems through the Denial-of-Service (DoS) attacks simply occur in this network and lead to service slow down or system crash. At the present time, traditional techniques are being widely used to confront the denial-of-service attacks in the Internet of Things and unfortunately, smart techniques have been less studied and exploited. In this research, a security solution on the basis of game theory is proposed to detect the denial-of-service attacks and prevent the problems in the services of the network of the Internet of Things. In order to scrutinize the performance of the suggested method in the network, this method was simulated using the NS2 simulator. The simulation results confirmed that the game-theory strategies in the proposed method outperformed the existing methods. Furthermore, in order to verify the acquired findings, a comparative evaluation was exhibited according to the three factors of operational throughput, latency, and energy consumption.

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Jamming attack detection and countermeasures in wireless sensor network using ant system

Cited by 83 publications

References 12 publications

Jamming and anti-jamming techniques in wireless networks: a survey

Jamming and anti-jamming techniques in wireless networks: a survey

A Swarm Based Defense Technique for Jamming Attacks in Wireless Sensor Networks

An Intelligent Security Approach using Game Theory to Detect DoS Attacks In IoT

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