CHESDA: continuous hybrid and energy-efficient secure data aggregation for WSN

Hajian, Rahman; Erfani, Hossein

doi:10.1007/s11227-020-03455-z

Cited by 17 publications

(22 citation statements)

References 24 publications

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“…The proposed LCS-SICADNN and two existing methods, namely, the asymmetric key encryption scheme [1] and CHESDA [2], were simulated in the NS2 network simulator. Five hundred sensor nodes were deployed over a squared area of A 2 (1100 m * 1100 m) for the secure data aggregation.…”

Section: End 3 Simulation Settingsmentioning

confidence: 99%

“…The simulation results of the three different methods, namely, LCS-SICADNN, asymmetric key encryption scheme [1] and CHESDA [2], are analysed using a set of metrics (computation overhead, packet delivery ratio, packet drop rate, delay and throughput). These metrics can be described as follows:…”

Section: Performance Analysismentioning

confidence: 99%

“…Although this scheme reduced the computation overhead, the delivery ratio and transmission delay could not be improved. Reference [2] designed a continuous hybrid and energy-efficient secure data aggregation (CHESDA) algorithm for privacypreserving data aggregation. Although the delay was minimised, the throughput could not be improved with a minimum overhead.…”

Section: Introductionmentioning

confidence: 99%

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Lamport Certificateless Signcryption Deep Neural Networks for Data Aggregation Security in WSN

Saravanakumar¹,

Sundararajan²,

Dhanaraj³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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Confidentiality and data integrity are essential paradigms in data aggregation owing to the various cyberattacks in wireless sensor networks (WSNs). This study proposes a novel technique named Lamport certificateless signcryption-based shift-invariant connectionist artificial deep neural networks (LCS-SICADNN) by using artificial deep neural networks to develop the data aggregation security model. This model utilises the input layer with several sensor nodes, four hidden layers to overcome different attacks (data injection, compromised node, Sybil and black hole attacks) and the output layer to analyse the given input. The Lamport one-time certificateless signcryption technique involving three different processes (key generation, signcryption and unsigncryption) is adopted to achieve secure data transmission between the sender and receiver. Firstly, a one-way function is executed to generate the public and private keys for each sensor node in the WSN. Secondly, digital signature generation and encryption are both performed. The sender node, which handles the signature generation and data encryption, forwards the data to the aggregator node. Then, the receiver verifies the data by using the sender's public key during data decryption. Thus, data aggregation security can be guaranteed. Finally, the authorised node aggregates the data with much higher data confidentiality and privacy. Performance analysis is conducted by simulating the proposed LCS-SICADNN and conventional models. Results of comparison indicate that the LCS-SICADNN can improve data aggregation security with higher throughput and lesser delay, packet drop and overhead compared with the conventional methods.

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Section: End 3 Simulation Settingsmentioning

confidence: 99%

Section: Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lamport Certificateless Signcryption Deep Neural Networks for Data Aggregation Security in WSN

Saravanakumar¹,

Sundararajan²,

Dhanaraj³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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“…Hence, Chaudhry et al's protocol fails to support perfect forward/backward secrecy. 4. System description and proposed protocol 4.1 Network model 6G technology is not limited to cellular mobile networks and is aimed at expanding digital communications.…”

Section: Registration Phase the Vehicle Selects Anmentioning

confidence: 99%

“…Device-to-device (D2D) and machine-to-machine (M2M) communications have attracted great scholarly attention in this regard. Due to the lack of an authentication server as a trusted third party, this communication faces many challenges [3,4]. In mutual key-agreement protocols, a third-party authentication server is used in registration and initialization phases to load credentials, long keys, and other secret parameters.…”

Section: Introductionmentioning

confidence: 99%

A Secure Anonymous D2D Mutual Authentication and Key Agreement Protocol for IoT Environments

Hajian

Haghighat

Erfani

2021

Preprint

Self Cite

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Internet of Things (IoT) is a developing technology in our time that is prone to security problems as it uses wireless and shared networks. A challenging scenario in IoT environments is Device-to-Device (D2D) communication that an authentication server as a trusted third-party, does not involve in the authentication and key agreement process. It is only involved in the process of allocating long-term secret keys and their update. A lot of authentication protocols have been suggested for such situations. This article demonstrated that three state-of-the-art related protocols failed to remain anonymous, insecure against key compromise impersonation (KCI) attack, and clogging attack. To counter the pitfalls of them, a new D2D mutual authentication and key agreement protocol is designed here. The proposed protocol is anonymous, untraceable, and highly secure. Moreover, there is no need for a secure channel to generate a pair of private and public keys in the registration phase.) Formal security proof and security analysis using BAN logic, Real-Or-Random (ROR) model, and Scyther tool showed that our proposed protocol satisfied security requirements. Furthermore, communication cost, computation cost, and energy consumption comparisons denoted our schema has better performance, compared to other protocols.

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An optimized ticket manager based energy‐aware multipath routing protocol design for IoT based wireless sensor networks

Roberts¹,

Thangavel²

2022

Concurrency and Computation

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Recently, wireless sensor networks (WSNs) and Internet of Things (IoTs) have emanated as an indispensable assets that play a critical role in revolutionizing the field of data communication. Owing to the evolution of communication standards, research trends in IoT based wireless sensor networks have been rapidly progressing toward achieving effective data routing with a prolonged network lifetime and minimized energy consumption. In this article, an optimized ticket manager based energy-aware multipath routing protocol (TMERP) is proposed. The proposed protocol design comprises three important functional entities: ticket manager (TM), routing planner (RP), and backup node (BN). The TM is responsible for controlling and monitoring all the constraints related to networking. Then, the RP minimizes the overall complexity of the optimal resource allocation by avoiding an end-to-end delay. Finally, the BN facilitates efficient data routing through the optimal selection of routing paths using the node trust evaluation and backup process to minimize data loss. Hence, the proposed multipath routing system has a distinct advantage in enhancing the network lifetime constraint with minimal energy consumption owing to the collective performance of its functional entities. The simulation results of the experimental studies show that the proposed protocol design achieved an improved performance in terms of network energy, throughput, and network operational lifetime by 39.3%, 47.9%, and 10.5%, respectively when compared with similar existing protocols.

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CHESDA: continuous hybrid and energy-efficient secure data aggregation for WSN

Cited by 17 publications

References 24 publications

Lamport Certificateless Signcryption Deep Neural Networks for Data Aggregation Security in WSN

Lamport Certificateless Signcryption Deep Neural Networks for Data Aggregation Security in WSN

A Secure Anonymous D2D Mutual Authentication and Key Agreement Protocol for IoT Environments

An optimized ticket manager based energy‐aware multipath routing protocol design for IoT based wireless sensor networks

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