Security Against Vampire Attack in ADHOC Wireless Sensor Network: Detection and Prevention Techniques

Juneja, Vikas; Gupta, Deep

doi:10.1007/978-3-319-75626-4_3

Cited by 8 publications

(5 citation statements)

References 28 publications

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“…The energy for the WSN's sensor nodes is supplied by batteries. However, energy loss is one of the main problems in WSN [1] that is resultant from overhearing, collisions, listening, idle, control packet overhead. The energy loss in the collision loss is introduced by the data packets' collision in the wireless medium.…”

mentioning

confidence: 99%

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Fotohi

Bari

2020

J Supercomput

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Wireless Sensor Networks (WSN) contain numerous nodes that their main goals are to monitor and control environments. Also, sensor nodes distribute based on network usage. One of the most significant issues in this type of network is the energy consumption of sensor nodes. In fixed-sink networks, nodes which are near the sink act as an interface to transfer data of other nodes to sink. This causes the energy consumption of sensors reduces rapidly. Therefore, the lifetime of the network declines. Sensor nodes owing to their weaknesses are susceptible to several threats, one of which is Denial of Sleep Attack (DoSA) threating WSN. Hence, the DoSA attack refers to the energy loss in these nodes by maintaining the nodes from entering energy-saving and sleep mode. In this paper, a hybrid approach is proposed based on mobile sink, firefly algorithm based on leach, and Hopefield Neural Network (WSN-FAHN). Thus, mobile sink is applied to both improve energy consumption and increase network lifetime. Firefly algorithm is proposed to cluster nodes and authenticate in two levels to prevent from DoSA. In addition, Hopefield Neural Network detects the direction route of the sink movement to send data of CH. Furthermore, here WSN-FAHN technique is assessed through wide simulations performed in the NS-2 environment. The WSN-FAHN procedure superiority is demonstrated by simulation outcomes in comparison with contemporary schemes based on performance metrics like Packet Delivery Ratio (PDR), average throughput, detection ratio, and network lifetime while decreasing the average residual energy.

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mentioning

confidence: 99%

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Fotohi

Bari

2020

J Supercomput

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“…Moreover, an investigative model is proposed [12] to approximate all node duration from the net lifetime setting. They analyzed power inclusive development and developed methods to enhance the time duration availability of net.…”

Section: Parallel Workmentioning

confidence: 99%

Pragmatic Security-Aware Cross-Layer Design for Wireless Networks from Vampire Attacks

Phijik¹,

Rao²

2021

ISI

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Wireless networks rely on ad hoc communication in an emergency, such as a search and rescue or military missions. WLAN, WiMAX, and Bluetooth are often used in Ad Hoc networks. Using a TCP/IP wireless network poses several challenges. Packet loss in 802.11 may be caused by noise or the network. TCP/IP connects non-adjacent layers of the network, resolving cross-layer communication technology for cross-layer communication. It regulates data transmission energy. This structure solves an issue in various ways. It is often used to improve data transfer. Currently, the OSI reference model's layers and functions are not explicitly connected. Only DCL can send multimedia data via wireless networks. The research employs CLD to improve wireless security—invasions of ad hoc networks (MANETs). The research helps secure wireless MANs (MANETs), Vampire Attack Defense (VAP) algorithms. A Secure Cross-Layer Design SCLD-AHN protocol is included. The paper contributes to controlling security attacks in wireless Mobile Ad Hoc Networks (MANET's). In MANETs effectiveness of Vampire Attack Defense (VAP) algorithms is evaluated and analyzed. It also proposes a Secure Cross-Layer Design for the ad hoc networks (SCLD-AHN) protocol.

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“…2 In this context, sensitivity or high sensing quality is essential for collecting accurate data from the physical environment under deployment. 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.…”

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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Security Against Vampire Attack in ADHOC Wireless Sensor Network: Detection and Prevention Techniques

Cited by 8 publications

References 28 publications

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Pragmatic Security-Aware Cross-Layer Design for Wireless Networks from Vampire Attacks

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

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