Impact of Various Networks Security Attacks on Wireless Sensor Localization Algorithms Based upon WSN Node’s Residual Energy

Soni, Santosh; Shrivastava, Manish

doi:10.1007/978-981-10-8198-9_1

Cited by 1 publication

(1 citation statement)

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“…In Albakri et al [21], a polynomial-based scheme was implemented with a security feature that was probabilistic and could efficiently decrease the sensor-captured attack security risk while requiring a negligible amount of computation memory and overhead. In Soni et al [22], a scheme of the WSN localization algorithm was tested for various network security attacks under different performances, such as node mobility, node density, packet size, and temperature, to evaluate the residual energy of WSN nodes. The localization algorithms have been susceptible to attacks of network security.…”

Section: Related Workmentioning

confidence: 99%

Trust Management-Based Service Recovery and Attack Prevention in MANET

Nivedita¹,

Nandhagopal²

2021

Intelligent Automation &Amp; Soft Computing

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The mobile ad-hoc network (MANET) output is critically impaired by the versatility and resource constraint of nodes. Node mobility affects connection reliability, and node resource constraints can lead to congestion, which makes the design of a routing MANET protocol with quality of service (QoS) very difficult. An adaptive clustering reputation model (ACRM) method is proposed to improve energy efficiency with a cluster-based framework. The proposed framework is employed to overcome the problems of data protection, privacy, and policy. The proposed ACRM-MRT approach that includes direct and indirect node trust computation is introduced along with the master recovery timer (MRT) for achieving an efficient service recovery process, and its service recovery time is calculated through the service execution process. During data transmission in MANET, various types of attacks can occur, of which the Sybil attack is the most dangerous. To address this problem, this paper proposed a method for the detection and prevention of Sybil attacks using a resilient scheme. The proposed method can improve system energy efficiency and address security, safety, and privacy issues of wireless network applications. Finally, the performance of the proposed method is evaluated regarding the time delay, throughput, energy efficiency, control overhead, and detection rate. The simulation results show that the proposed ACRM-MRT method can effectively improve the time delay, throughput, energy efficiency, control overhead, and detection rate compared to the existing methods. Topological change adaptive ad-hoc on-demand multi-path distance vector (TA-AOMDV)and ad-hoc on-demand multi-path distance vector (AOMDV) are simulated on the NS2 platform for the data rate in the range of 4-40 kbps and the number of nodes in the range of 10-100. The proposed method can reduce the service recovery time in the case of faults during service execution and can be used in real-time applications traffics since it is mostly affected by failure through the occurrence of delay and loss of packets.

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Section: Related Workmentioning

confidence: 99%