Efficient authentication protocol for secure multimedia communications in IoT-enabled wireless sensor networks

Mishra, Dheerendra; Vijayakumar, Pandi; Sureshkumar, Venkatasamy; Amin, Ruhul; Islam, SK Hafizul; Gope, Prosanta

doi:10.1007/s11042-017-5376-4

Cited by 82 publications

(67 citation statements)

References 44 publications

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“…Compared to [16], [17], [41], [42], LSSCW requires few additional hash operations for session key generation process. The session key is used in the data transfer phase for secure transfer and verification of data between DCH and BS.…”

Section: A Comparative Analysismentioning

confidence: 99%

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LSSCW: A Lightweight Security Scheme for Cluster based Wireless Sensor Network

Pathak¹,

Premi²,

Suhas³

2019

IJACSA

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In last two decades, Wireless Sensor Network (WSN) is used for large number of Internet of Things (IoT) applications, such as military surveillance, forest fire detection, healthcare, precision agriculture and smart homes. Because of the wireless nature of communication, Wireless Sensor Network suffers from various attacks such as Denial of Service (DoS) attack and replay attack. Dealing with scalability and security issues is the challenging task in WSN. In this paper, we have presented a Lightweight Security Scheme for Cluster based Wireless Sensor Network (LSSCW). LSSCW has two phases: Initialization phase and data transfer phase. The work focuses on secured data aggregation in wireless sensor network with the help of symmetric and session key generation technique. Data from sensor nodes are securely transferred to base station. LSSCW is lightweight and satisfies security requirements including authenticity, confidentiality and integrity. The performance of LSSCW is verified using Automated Validation of Internet Security Protocols and Applications (AVISPA) tool. Results shows that LSSCW is secured and is efficient in terms of computation and communication overhead.

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Section: A Comparative Analysismentioning

confidence: 99%

“…LSSCW session key helps in sender authentication and protection against Man-in-the-middle attack. The schemes presented in [16], [17], [41], [42] do not use session key thereby providing a less secure environment compared to LSSCW for data communication in WSN.…”

Section: A Comparative Analysismentioning

confidence: 99%

LSSCW: A Lightweight Security Scheme for Cluster based Wireless Sensor Network

Pathak¹,

Premi²,

Suhas³

2019

IJACSA

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“…According to recent research studies,() the network model adopted in heterogeneous WSNs usually contains 3 entities: the GWN , the sensor node, and the user. Gateway node : The GWN is a trusted third party with powerful communication and computation capabilities, and plays a key role in the generation of session keys for users and sensor nodes.…”

Section: Preliminariesmentioning

confidence: 99%

Security analysis and improvement of a mutual authentication and key agreement solution for wireless sensor networks using chaotic maps

Zhang

Kumari

et al. 2018

Trans Emerging Tel Tech

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A characteristic of wireless sensor networks (WSNs) different from traditional networks is that WSNs are vulnerable to various types of attacks because of their distinctive features, involving distributed and nomadic attribute, wireless transmission medium, and lack of centralized infrastructure of security protection. Recently, Kumari et al presented a mutual authentication and key agreement scheme for WSNs using chaotic maps. Unfortunately, we find that the scheme of Kumari et al cannot resist sensor node capture attack, session‐specific temporary information attack, sensor node impersonation attack, and man‐in‐the‐middle attack. To overcome the security weaknesses in the solution of Kumari et al, this paper introduces a secure and efficient mutual authentication and key agreement scheme for heterogeneous ad hoc WSNs in fully public channel. Consequently, compared with the solution of Kumari et al, while providing relatively higher level of security and more security features, the proposed solution remains a favorable performance on communication overhead, computation overhead, and storage overhead separately.

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“…In heterogeneous networks, Weight Based Clustering technique is adopted. The framework chooses the better cluster heads thereby increasing the lifetime and throughput of WSN through efficient clustering algorithm [20]. Also, clustering increases the scalability and network life span.…”

Section: A System Modelmentioning

confidence: 99%

SESCAS: A System for Mitigating Forwarding Misbehaviour in Wireless Sensor Networks

Premkumar¹,

TVP²,

Bhuvaneswari³

et al. 2019

IJITEE

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Remote Sensor arrange is the most standard administrations utilized in business and modern applications because of its specialized advancement in the processing, communication and low-control utilization of installed PC equipment. Due to open sent nature, the attackers effectively attack the node, so there is an absence of security. To avoid this, Selective sending approach is actualized. This paper aims to establish a simple countermeasure Scalable and Energy efficient Single Check Point based Acknowledgement Scheme; SESCAS is to detect and isolate the misbehaviour node in a wireless sensor network based on time out and retransmission. We carry out extensive simulation experiments to evaluate and compare performance with the extensive CHEMAS, CAM and CAD. The result of the simulation shows that the proposed mechanism can diminish the false recognition rate, collision of packets, energy utilization rate, propagation delay; we likewise enhance the packet delivery ratio and identification rate.

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Efficient authentication protocol for secure multimedia communications in IoT-enabled wireless sensor networks

Cited by 82 publications

References 44 publications

LSSCW: A Lightweight Security Scheme for Cluster based Wireless Sensor Network

LSSCW: A Lightweight Security Scheme for Cluster based Wireless Sensor Network

Security analysis and improvement of a mutual authentication and key agreement solution for wireless sensor networks using chaotic maps

SESCAS: A System for Mitigating Forwarding Misbehaviour in Wireless Sensor Networks

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