Detection &amp; prevention of vampire attack in wireless sensor networks

Sharma, Mayank; Joshi, Brijendra Kumar

doi:10.1109/icomicon.2017.8279174

Cited by 10 publications

(6 citation statements)

References 4 publications

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“…In this context, "r" number of decision matrices are constructed based on the linguistic variable rating values provisioned by "r" decision makers as presented in Equation (1).…”

Section: Proposed Bi-polar Fuzzy Information-based Promethee-based Ou...mentioning

confidence: 99%

“…The rapid and progressive developments in digital electronics and wireless communications with respect to computational power have facilitated a diversified number of applications through wireless ad hoc sensor networks. 1 Some of the most significant wireless ad hoc sensor networks applications include military, industry, agriculture and so forth.…”

Section: Introductionmentioning

confidence: 99%

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Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Arunachalam

Perumal

2022

Trans Emerging Tel Tech

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The sensor nodes comprising sensing devices, small processing units, and battery, cooperate in wireless sensor networks (WSNs) for gathering potential factors that aids in achieving significant decision‐making processes in deployed applications. WSNs are vulnerable to security threats due to their open nature, availability characteristics, and lack of energy, resulting in a diversified number of security attacks. Among the security attacks, vampire attack is the serious threat as they drain the energy of nodes, which in turn crumbles the network lifetime and energy stability in WSNs. In this article, Bi‐Polar Information‐Based Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)‐based outranking scheme is proposed for detecting and isolating vampire attacks to improve throughput with minimized energy consumptions and delay for prolonging lifetime. This proposed BPFI‐POR scheme used bipolar information that facilitates an asymmetrical association between two decision making factors that influences the discrimination and selection of genuine nodes from vampire nodes during the routing process. It aids in characterizing precise and vague information through bipolar fuzzy linguistic terms that has the maximized probability of being represented as trapezoidal bipolar fuzzy numbers. It estimated the cooperation of intermediate sensor nodes' based on trapezoidal bipolar fuzzy numbers for determining their preference or selection using criteria that could be influenced during the routing process. It also used the ranking function for accessing the alternatives through crisp real preferences with entropy weighting information responsible for attributes weight computation. The simulation results of the BPFI‐POR scheme confirmed better throughput, detection time with minimized energy consumptions and latency on par with the competitive algorithms.

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“…In this context, "r" number of decision matrices are constructed based on the linguistic variable rating values provisioned by "r" decision makers as presented in Equation (1).…”

Section: Proposed Bi-polar Fuzzy Information-based Promethee-based Ou...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Arunachalam

Perumal

2022

Trans Emerging Tel Tech

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“…This vampire node mitigation approach utilized the phases of topology discovery and packet forwarding to learn the unique address of each sensor node and the proximity of the packets dynamically moving in the network. Sharma and Joshi 16 propounded a vampire detection approach using fuzzy theory to resolve the data uncertainty involved during data exchange. This fuzzy approach explored the dimensions of energy, directly and indirectly, packet forwarding potential.…”

Section: Related Workmentioning

confidence: 99%

Mitigation of stretch type vampire attack using probabilistic variable fuzzy rough set in wireless sensor networks

Rajesh

Rani

2021

Concurrency and Computation

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Energy consumptions of intermediate nodes play an anchor role in achieving maximum cooperation for reliable dissemination of data in wireless sensor network (WSNs).WSN is considered a highly challenging issue due to its ad hoc node's organization in the network. In specific, vampire attack weakens the sensor nodes by draining energy slowly resulting in network performance deterioration ending up in network failure.The vampire attack needs to be detected and isolated for improving the sensor nodes life span to the maximum extent. In this article, mitigation of stretch type vampire attack using probabilistic variable fuzzy rough set (MVA-PVFRS) is proposed with the merits of fuzzy membership ranks to sustain network lifetime. This MVA-PVFRS scheme derives the benefits of fuzzy information system by including the method of approximation concept that decides upon the mitigation of vampire nodes through the formulation of lower and upper cooperation thresholds. Furthermore, it is proposed to handle the degree of uncertainty, missingness, and vagueness of data disseminated between the sensor nodes during the monitoring process in the network. The simulation results of the proposed MVA-PVFRS scheme is attained through ns-2 simulations with different number of sensor nodes, number of vampire nodes, pause time of simulation, number of packets, and packet sizes. The results of the proposed MVA-PVFRS scheme with the different number of packets confirmed an excellent performance in packet delivery rate by 15.84% and throughput by 16.94%, compared to the baseline schemes.

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“…• specific types of ERE attacks, such as vampire attacks [1][2][3], denial-of-sleep attacks [4][5][6][7][8], attacks on specific crypto-protocols, causing increased power consumption on their executing devices [9], various jamming attacks [10,11], replay attacks and collision attacks [12], etc. ; • specific applications and systems analyzed for possible ERE attacks, such as attacks on personal portable mobile devices in direct line of sight [13,14], combined attacks on mobile devices, using vulnerabilities of a cellular network server [15], attacks on separately located sensors [16], attacks on mesh networks built on specific network protocols [17], attacks on drones [18], attacks on implantable medical devices, taking into account various ways to replenish their charge [19], etc.…”

Section: Introductionmentioning

confidence: 99%

“…; • specific applications and systems analyzed for possible ERE attacks, such as attacks on personal portable mobile devices in direct line of sight [13,14], combined attacks on mobile devices, using vulnerabilities of a cellular network server [15], attacks on separately located sensors [16], attacks on mesh networks built on specific network protocols [17], attacks on drones [18], attacks on implantable medical devices, taking into account various ways to replenish their charge [19], etc. ; • specific recommendations and particular solutions that can be used to protect against a certain type of such attacks, such as isolation of segments and layers of sensor networks to protect the nodes (victims of ERE attacks) [2,20], packet filtering on some intermediate nodes and comparison with passing traffic patterns [17,19], in particular by using machine learning [21].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Resource Exhaustion Attacks against Wireless Mobile Devices

2019

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Currently, energy resource exhaustion attacks targeted on modern autonomously working mobile devices are becoming more and more important. The underdevelopment of specialized defenses against energy exhaustion attacks as well as their often hidden nature for the owner of the target device determine a necessity of an integrated approach to modeling and evaluation of this class of attacks and various types of intruders. The paper analyzes conditions of applicability of energy resource exhaustion attacks performed by various classes of intruders, models them on physical implementations of devices for two application areas, and calculates their performance indicators. Application areas are a TCP/IP network of end-user mobile devices and a self-organizing mesh network designed for operational management and emergency response.

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Detection & prevention of vampire attack in wireless sensor networks

Cited by 10 publications

References 4 publications

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Mitigation of stretch type vampire attack using probabilistic variable fuzzy rough set in wireless sensor networks

Evaluation of Resource Exhaustion Attacks against Wireless Mobile Devices

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