Active key management scheme to avoid clone attack in wireless sensor network

Sivasankar, P.; Ramakrishnan, M.

doi:10.1109/icccnt.2013.6726618

Cited by 6 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…T. Shivaiah et al [11] [12] anticipate a nominal three-tier security architecture for pair-wise key establishment and authentication among mobile sinks and sensor nodes. Based on polynomial pool-based key pre-distribution strategy network resilience is contrasted with polynomial pool-based key pre-distribution method.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Network Threat Detection and Classification Method using Anp-Mvps Algorithm in Wireless Sensor Networks

Sherubha*¹,

Mohanasundaram²

2019

IJITEE

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are deployed generally in a hostile environment, where an adversary captures some nodes that are physically connected in the network. It initially reprograms the nodes and makes them replicate into a number of clones, thereby having control over them. In order to provide a distributed solution to resolve the above specified problem specified above, a framework based on Authentic Node Placement based Message Verification and Passing Strategy (ANP-MVPS) is proposed. Some of the solutions offered by existing techniques are not satisfactory due to Energy and Memory constraints. This turns to be a serious drawback for protocols used in WSN’s resource constrained environment. In this work, three diverse factors are considered for investigation. They are: Firstly, modeling of Authentic Node Placement based Message Verification and Passing Strategy (ANP-MVPS) is performed to identify the distributed mechanism of clone in a network and prevent the replication of clone among them. Secondly, the parameter selection Probability of Occurrence of IP, Mean Time Intervals, Time to Live, ACK value, Time Stamp Field, SYN value, Differentiated Service Field and Sequence Number are considered before performing classification. Thirdly, an efficient Naive Bayesian classifier for security analysis based on trust value (NB-TV) is used to estimate the performance metrics like accuracy, sensitivity, specificity, F-measure, Recall etc. This method shows satisfactory results when compared to existing techniques. The simulation was carried out in MATLAB environment. The proposed method shows better trade off in contrast to prevailing techniques.

show abstract

Section: Related Workmentioning

confidence: 99%

An Efficient Network Threat Detection and Classification Method using Anp-Mvps Algorithm in Wireless Sensor Networks

Sherubha*¹,

Mohanasundaram²

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…At the hospital, doctors can check the health status of the infant by using wireless medical sensor networks. Body temperatures, blood pressure, heartbeat, pulse rate and sugar level are the important parameters used to check the health status of the infant [16]. In recent days, researchers working towards to develop the wireless sensor network based health monitoring system.…”

Section: Related Workmentioning

confidence: 99%

Computationally efficient mutual authentication protocol for remote infant incubator monitoring system

Jegadeesan¹,

Muneeswaran²,

Azees³

et al. 2019

Healthcare Technology Letters

View full text Add to dashboard Cite

Internet of Things (IoT), cloud computing and wireless medical sensor networks have significantly improved remote healthcare monitoring. In a healthcare monitoring system, many resource-limited sensors are deployed to sense, process and communicate the information. However, continuous and accurate operations of these devices are very important, especially in the infant incubator monitoring system. Because important decisions are made on the received information. Therefore, it is necessary to ensure the authenticity between the incubator monitoring system and doctors. In this work, a public key encryption based computationally efficient mutual authentication protocol is proposed for secure data transmission between incubator monitoring systems and doctors or administrators. The proposed protocol improves performance and reduces the computational cost without compromising the security. The security analysis part shows the strength of the proposed protocol against various attacks, performance analysis part shows that the proposed protocol performs better than other existing protocol based on Rivest–Shamir–Adleman and elliptic-curve cryptography schemes.

show abstract

A node clone attack detection scheme based on digital watermark in WSNs

Guan

Chen

2016

2016 First IEEE International Conference on Computer Communication and the Internet (ICCCI)

View full text Add to dashboard Cite

Active key management scheme to avoid clone attack in wireless sensor network

Cited by 6 publications

References 10 publications

An Efficient Network Threat Detection and Classification Method using Anp-Mvps Algorithm in Wireless Sensor Networks

An Efficient Network Threat Detection and Classification Method using Anp-Mvps Algorithm in Wireless Sensor Networks

Computationally efficient mutual authentication protocol for remote infant incubator monitoring system

A node clone attack detection scheme based on digital watermark in WSNs

Contact Info

Product

Resources

About