Ensuring an early recognition and avoidance of the vampire attacks in WSN using routing loops

Deshmukh, Lina R.; Potgantwar, Amol D.

doi:10.1109/iadcc.2015.7154669

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…In this paper [37], firstly targets to evaluate these vulnerabilities to routing layer battery reduction attacks. Secondly, it focuses upon the change in an existing routing protocol to bound loss due to Vampire attacks at the time of the forwarding of packets.…”

Section: Network Security In Wireless Sensor Networkmentioning

confidence: 99%

A Survey of Network and Information Security

Huang

2019

ijicom

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Security threats and shows abnormality about security, safety, privacy and trust as network security-related data, in short, security-related data. Apparently, the first step to detect network attacks and intrusions is to collect the security-related data. In this paper, we will present a lot of approaches to solving Networks and Information Security issues. We survey network security in LTE technologies, Vehicular Ad-Hoc Network, and security in Wireless Sensor Network. Internet of Things. In this paper, we describe many methods in Information Security. Is consist of Information Security in Big Data and Cloud Computing.

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Section: Network Security In Wireless Sensor Networkmentioning

confidence: 99%

A Survey of Network and Information Security

Huang

2019

ijicom

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“…3 However, WSNs are highly vulnerable to malicious attackers such as selective forwarding, directional, black hole attack, and vampire attack that causes denial of services, since the sensor nodes are battery-operated. 4 In particular, the vampire attackers completely drain the energy of the sensor nodes intentionally, such that they are completely prevented from provisioning its service of forwarding data during the routing process. 5 This vampire attack not only drains the energy of the restricted energy source but also rumbles the overall network performance.…”

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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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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“…The trustworthiness and connectivity of the network depend on the energy drain rate and the colluders. 2 The presence of vampire nodes makes the ad hoc networks more vulnerable by rapidly draining a considerable amount of energy. 3 Vampire attacks are considered the most vulnerable kind of resource-draining attack as it disables the network's connectivity by draining mobile node's energy at a faster rate.…”

Section: Introductionmentioning

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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Ensuring an early recognition and avoidance of the vampire attacks in WSN using routing loops

Cited by 7 publications

References 13 publications

A Survey of Network and Information Security

A Survey of Network and Information Security

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

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