Performance Evaluation and Analysis of Encryption Schemes for Wireless Sensor Networks

Ghehioueche, Amar Abdelmalek; Chikouche, Noureddine; Mezrag, Fares

doi:10.1109/icd47981.2019.9105883

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The existing body of literature offers diverse solutions for tackling the issues encountered by sensors within the domain of WSNs. However, many research studies depend on encryption and cryptographic approaches [12]. It is important to note that if a sensor is breached, the encryption keys linked to that node will also become compromised.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Trust Management Frameworks for Wireless Sensor Networks

Gangwani,

Perez-Pons,

Upadhyay

2024

Sensors

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are crucial in various fields including Health Care Monitoring, Battlefield Surveillance, and Smart Agriculture. However, WSNs are susceptible to malicious attacks due to the massive quantity of sensors within them. Hence, there is a demand for a trust evaluation framework within WSNs to function as a secure system, to identify and isolate malicious or faulty sensor nodes. This information can be leveraged by neighboring nodes, to prevent collaboration in tasks like data aggregation and forwarding. While numerous trust frameworks have been suggested in the literature to assess trust scores and examine the reliability of sensors through direct and indirect communications, implementing these trust evaluation criteria is challenging due to the intricate nature of the trust evaluation process and the limited availability of datasets. This research conducts a novel comparative analysis of three trust management models: “Lightweight Trust Management based on Bayesian and Entropy (LTMBE)”, “Beta-based Trust and Reputation Evaluation System (BTRES)”, and “Lightweight and Dependable Trust System (LDTS)”. To assess the practicality of these trust management models, we compare and examine their performance in multiple scenarios. Additionally, we assess and compare how well the trust management approaches perform in response to two significant cyber-attacks. Based on the experimental comparative analysis, it can be inferred that the LTMBE model is optimal for WSN applications emphasizing high energy efficiency, while the BTRES model is most suitable for WSN applications prioritizing critical security measures. The conducted empirical comparative analysis can act as a benchmark for upcoming research on trust evaluation frameworks for WSNs.

show abstract

Section: Introductionmentioning

confidence: 99%