Mobile Network Security and Privacy in WSN

Gao, Yuan; Ao, Hong; Feng, Zenghui; Zhou, Weigui; Hu, Su; Tang, Wanbin

doi:10.1016/j.procs.2018.03.083

Cited by 19 publications

(11 citation statements)

References 17 publications

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“…This research method is prone to side-channel attacks since the ciphertext can be attained. 60 This study presents digital signature based on key management (DK) for data security. 61 Asymmetric method doubles the computation time.…”

Section: Literature Reviewmentioning

confidence: 99%

An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

Ali

Humaria

Ramzan

et al. 2020

International Journal of Distributed Sensor Networks

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In wireless sensor networks, the sensors transfer data through radio signals to a remote base station. Sensor nodes are used to sense environmental conditions such as temperature, strain, humidity, sound, vibration, and position. Data security is a major issue in wireless sensor networks since data travel over the naturally exposed wireless channel where malicious attackers may get access to critical information. The sensors in wireless sensor networks are resource-constrained devices whereas the existing data security approaches have complex security mechanisms with high computational and response times affecting the network lifetime. Furthermore, existing systems, such as secure efficient encryption algorithm, use the Diffie–Hellman approach for key generation and exchange; however, Diffie–Hellman is highly vulnerable to the man-in-the-middle attack. This article introduces a data security approach with less computational and response times based on a modified version of Diffie–Hellman. The Diffie–Hellman has been modified to secure it against attacks by generating a hash of each value that is transmitted over the network. The proposed approach has been analyzed for security against various attacks. Furthermore, it has also been analyzed in terms of encryption/decryption time, computation time, and key generation time for different sizes of data. The comparative analysis with the existing approaches shows that the proposed approach performs better in most of the cases.

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Section: Literature Reviewmentioning

confidence: 99%

An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

Ali

Humaria

Ramzan

et al. 2020

International Journal of Distributed Sensor Networks

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“…These schemes are often based on login credentials with stored authentication values or private/public key schemes. Attacks can originate from traditionally expected adversaries located inside or outside the network or from previously trusted nodes acting maliciously [21], [22], [23]. Recent advancements in wearable wireless sensors with quality requirements namely, energy, memory, and computational efficiency further incorporate ZKP to provide lightweight authentication with appropriate commitment schemes [24], [25].…”

Section: Related Workmentioning

confidence: 99%

Non-interactive zero knowledge proofs for the authentication of IoT devices in reduced connectivity environments

et al. 2019

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“…Yuan Gao et al proposed a security mechanism based on the sensor nodes [8] that reduced the possibility of the attack effects. They divided nodes into two groups: 1) nodes exposed to attacks from credentials and 2) unauthorized nodes.…”

Section: Related Workmentioning

confidence: 99%

Solving Security of Cyber-Physical Systems with Multi-Objective Optimization Algorithms

Hashemi

2019

AJAS

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Cyber-physical systems (CPS), as a significant set of the Internet of Things (IoT), play a key role in our life. CPS has a wide range of applications. Regardless of the benefits of CPS, they need a secure approach to communication. In this paper, an approach to CPS security is proposed. Usability of the proposed approach is the major characteristic of it because it employs a multi-objective model (MOM) of security. In this study, three algorithms were used to solve MOM (Multi-Objective Imperialist Competitive Algorithm, Multi-Objective Automata, Multi-Objective Bee Colony), because the evolutionary structure of the proposed algorithms causes the best adaptation on the network.

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Mobile Network Security and Privacy in WSN

Cited by 19 publications

References 17 publications

An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

Non-interactive zero knowledge proofs for the authentication of IoT devices in reduced connectivity environments

Solving Security of Cyber-Physical Systems with Multi-Objective Optimization Algorithms

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