On a New Type of Denial of Service Attack in Wireless Networks: The Distributed Jammer Network

Huang, Hong; Ahmed, Nihal; Karthik, P

doi:10.1109/twc.2011.052311.101613

Cited by 24 publications

(11 citation statements)

References 25 publications

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“…Previous works on jamming concentrates on military applications (Huang et al, 2011). Radio interference attacks are a serious threat to the operations of a wireless network.…”

Section: General Discussion and Related Workmentioning

confidence: 99%

“…Distributed Jammer Network is different from traditional jammers (Richa et al, 2010) used by the military, which are traditionally located outside the target distributed wireless network and produce inference by beaming high-power radio signal over long distances using directional antenna (Huang et al, 2011). As a network with large number of tiny nodes, Distributed Jammer Network (DJN) in a huge network perspective has a prominent effect on any Distributed Wireless Network (DWN).…”

Section: Jcsmentioning

confidence: 99%

“…Distributed Jammer Network (DJN) has simple redundancy, hard to detect ability, selfinterference free capabilities and low power consumption. Given that the total power consumption is constant, the gain of using a large number of jammers has been brought out in (Huang et al, 2011).…”

Section: Jcsmentioning

confidence: 99%

“…This in its wake has ushered in radical changes in the design and use of radio devices. Distributed Jammer Network (DJN) consists of a huge number of tiny low powered Jammers distributed inside a target network, with the purpose of jamming the target Distributed Wireless Network (DWN) (Huang et al, 2011). Recent advances in Micro-Electro Mechanical System (MEMS) and NANO technologies (Otis et al, 2004;Weldon et al, 2008) make it possible to build sufficient number of NANO jammers that the Distributed Jammer Network (DJN) takes the form of a dust cloud in the air, called jamming dust of micro sensors (Kahn et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Denial of Service Attack in Distributed Wireless Network by Distributed Jammer Network: A Birth-Death Random Process Analysis

Dhanasekaran¹

2014

Journal of Computer Science

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Large number of low power, tiny radio jammers are constituting a Distributed Jammer Network (DJN) is used nowadays to cause a Denial of Service (DoS) attack on a Distributed Wireless Network (DWN). Using NANO technologies, it is possible to build huge number of tiny jammers in millions, if not more. The Denial of Service (DoS) attacks in Distributed Wireless Network (DWN) using Distributed Jammer Network (DJN) considering each of them as separate Poisson Random Process. In an integrated approach, in this study, we advocate the more natural birth-death random process route to study the impact of Distributed Jammer Network (DJN) on the connectivity of Distributed Wireless Network (DWN). We express that the Distributed Jammer Network (DJN) can root a phase transition in the performance of the target network. We use Birth-Death Random Process (BDRP) route for this phase transition to evaluate the collision of Distributed Jammer Network (DJN) on the connectivity and global percolation of the target network. This study confirms the global percolation of Distributed Wireless Network (DWN) is definite when the Distributed Jammer Network (DJN) is not more significant.

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“…Previous works on jamming concentrates on military applications (Huang et al, 2011). Radio interference attacks are a serious threat to the operations of a wireless network.…”

Section: General Discussion and Related Workmentioning

confidence: 99%

Section: Jcsmentioning

confidence: 99%

Section: Jcsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Denial of Service Attack in Distributed Wireless Network by Distributed Jammer Network: A Birth-Death Random Process Analysis

Dhanasekaran¹

2014

Journal of Computer Science

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“…The malicious nodes divert the messages far away from the sink, create congestion and disrupt the communication channels through different overwhelming attacks [1]. Major attacks that affect the multi-hop routing are Sybil attack, Worm Hole attack and Sink Hole attack [2].…”

Section: Introductionmentioning

confidence: 99%

STEAR: Secure Trust-Aware Energy-Efficient Adaptive Routing in Wireless Sensor Networks

Thippeswamy¹,

Reshma²,

Tejaswi³

et al. 2015

JACN

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Abstract-Secure communication is one of the most critical challenging tasks in multi-hop Wireless Sensor Networks (WSNs). Routing protocols of WSNs are highly susceptible to various attacks, which replay the routing information through the malicious node and steal the identities of the valid nodes in a network. The malicious nodes forward the packets far away from the sink, increasing the packet drop ratio, that sluggishes overall network efficiency. In order to overcome this problem, we have designed and implemented a secure trust aware energy efficient adaptive routing (STEAR) for dynamic WSNs. This protocol provides secure, trustworthy and energy efficient routing for multihop networks. STEAR is designed with effective mechanisms to identify the malicious nodes using dynamic secret key (DSK) assignment, trust and energy monitoring, and packets flow status monitoring. Simulation results show that network efficiency and throughput are better and packet drop ratio is reduced compared to earlier works.Index Terms-Dynamic secret key (DSK), energy monitor, secure communication, trust monitor, WSNs. I. INTRODUCTIONTo achieve trust aware routing in multihop environment in WSNs is one of the most challenging tasks. The malicious nodes divert the messages far away from the sink, create congestion and disrupt the communication channels through different overwhelming attacks [1]. Major attacks that affect the multi-hop routing are Sybil attack, Worm Hole attack and Sink Hole attack [2].The effect of these three attacks brings down the network efficiency in both static and mobile sink environments. The impact of these attacks is more in mobile sink environments when compared to static sink networks [3]. These attacks may also cause irreparable damage to the minimum security levels in networks. A. MotivationSecurity is one of the important issues in WSNs. Secure communication in WSN improves network efficiency and throughput. In earlier works, trust and status supervision schemes consider the trust value and energy level of each node while transferring the data from the source to the sink. Bangalore, shaila_ks@yahoo.com, venugopalkr@gmail.com).V. Tejaswi is with the NIT, Suratkal, India (e-mail: tejaswikrv@gmail.com).L. M. Patnaik is with the Indian Institute of Science, Bangalore, India (e-mail: lalitbr@gmail.com).The attackers are still successful to replay the routing information to extract the valid identity. Thus, it is necessary to device a mechanism by considering dynamic secret key (DSK), packet flow status along with trust and energy requirement level to improve the network security, efficiency and throughput. These parameters are illustrated by using an example as shown in Fig. 1. Assume that an event has been generated at node A, then it begins to find a valid neighbour node to forward the packets towards the sink through one of its neighbours such as X, Y, E and C. The routing table of every node maintains the information like the trust level, the energy requirement to drive the packets towards sink, packet fl...

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Physical Layer Security for UAV Communications

Rupasinghe¹,

Yapıcı

Güvenç

et al. 2020

UAV Communications for 5G and Beyond

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On a New Type of Denial of Service Attack in Wireless Networks: The Distributed Jammer Network

Cited by 24 publications

References 25 publications

Denial of Service Attack in Distributed Wireless Network by Distributed Jammer Network: A Birth-Death Random Process Analysis

Denial of Service Attack in Distributed Wireless Network by Distributed Jammer Network: A Birth-Death Random Process Analysis

STEAR: Secure Trust-Aware Energy-Efficient Adaptive Routing in Wireless Sensor Networks

Physical Layer Security for UAV Communications

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