An enhanced key management using ZigBee Pro for wireless sensor networks

Choi, Kyung Jun; Yun, Minjung; Chae, Kijoon; Kim, Mihui

doi:10.1109/icoin.2012.6164409

Cited by 12 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In every of the former two steps with Coordinator, Router, and End Device. Median execution time in criterion safely method [6] is 0.5156 seconds, and in standard-ECDH [6] it is 0.5778 seconds; the contrast is 0.0622 seconds. While this difference compare to the median execution time of criterion safely method, added 12%.…”

Section: Effectiveness Analyses Of Improved Key Mechanismmentioning

confidence: 94%

“…[5]. [6] Kyung C et al Used elliptic curve Diffie Hellman (ECDH) [7] to improve the key administration schema and SubMAC for Wireless Sensor Networks to overcome the vulnerabilities of key management of ZigBee. ECDH used for providing the safely of key distribution and SubMAC to avoid the vulnerabilities in ECDH, especially the endorsement and Man-In-The-Middle attack.…”

Section: Zigbee Promentioning

confidence: 99%

“…Table2 show details the values. While suggesting key distribution in safely method (stander ECDH) [6] is comparable to the criterion safely method, it absorbs more power .In particular, receiver state in the Coordinator display extreme distinction is 0.001447mJoule.Although, the Coordinator has enough Memory and power, thus the distinction is slight. Another distinction is 0.001412mJoule in receiver state in the End Device.…”

Section: Effectiveness Analyses Of Improved Key Mechanismmentioning

confidence: 99%

See 2 more Smart Citations

Security Improve in ZigBee Protocol Based on RSA Public Algorithm in WSN

Hasan¹,

Farhan²

2019

ETJ

View full text Add to dashboard Cite

Section: Effectiveness Analyses Of Improved Key Mechanismmentioning

confidence: 94%

Section: Zigbee Promentioning

confidence: 99%

Section: Effectiveness Analyses Of Improved Key Mechanismmentioning

confidence: 99%

See 1 more Smart Citation

Security Improve in ZigBee Protocol Based on RSA Public Algorithm in WSN

Hasan¹,

Farhan²

2019

ETJ

View full text Add to dashboard Cite

“…Manju.V.C et al [1] in her paper Proposed method to defend denial of sleep attack the method consists of two parts, Network organization and Selective level authentication. Kyung Choi et al [2] in the paper uses zigbee for security advanced encryption standard (AES) algorithm, adds to a security model provided by IEEE 802.15.4.…”

Section: Background and Related Workmentioning

confidence: 99%

Conservation of Energy in Wireless Sensor Network by Preventing Denial of Sleep Attack

Naik

Shekokar

2015

Procedia Computer Science

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) can be used to monitor environments, and therefore have broad range of interesting applications. The applications which may use WSN can be of sensitive nature and therefore might require enhanced secured environment. As sensors are used to monitor sensitive areas therefore Security and energy efficiency is essential consideration when designing wireless sensor networks (WSNs). The Sensor nodes get their power from batteries. Since the sensor nodes are deployed in harsh environment they cannot be recharged. Due to unattended deployment and inability of recharging, the power consumption of the nodes should be optimal. To implement minimum power consumption Sensor networks periodically place nodes to sleep. This is achieved by using the media access control (MAC) protocols. These protocols are designed in such a way that they reduce the energy consumption of sensor nodes by keeping the antenna in sleep mode as much as possible. This leads to power saving. The MAC protocols change the sleep time based on the type of communication required. However, malicious nodes can be introduced in the network and these attackers use their information about the MAC protocol, by manipulating the sleep time of the node, so that life time of the node reduces. This is called as Denial of sleep attack .This paper, addresses the Denial of sleep attack in WSN while at the same time proposing a scheme for authenticating the new nodes which try to change the sleep schedule of the nodes. Only transmissions from valid nodes are accepted. Our scheme uses zero knowledge protocol (ZKP) for verifying the authenticity of the sensor nodes which pass the sleep synchronization messages. Also to enhance security further the interlock protocol is used during key exchange. The paper presents a detailed analysis for various scenarios and also analyzes the performance while implementing this secure authentication.

show abstract

“…Manju.V.C suggested using "Network organization and Selective level authentication" to protect the denial of sleep attacks (Goudar & Kulkarni, 2015). Kyung Choi uses Zigbee, (AES) security algorithm, for safety, which contributes to the security protocol supported by IEEE 802.15.4 (Choi, Yun, Chae, & Kim, 2012). Martin Peres proposed creating a secret key by means of an alreadyshared key, called key derivation.…”

Section: Introductionmentioning

confidence: 99%

Detection of Attacks on Wireless Sensor Network Using Genetic Algorithms Based on Fuzzy

Hayali

Uçan

Rahebi

et al. 2019

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

In this paper an individual - suitable function calculating design for WSNs is conferred. A multi-agent- located construction for WSNs is planned and an analytical type of the active combination is built for the function appropriation difficulty. The purpose of this study is to identify the threats identified by clustering genetic algorithms in clustering networks, which will prolong network lifetime. In addition, optimal routing is done using the fuzzy function. Simulation results show that the simulated genetic algorithm improves diagnostic speed and improves energy consumption.©2019. CBIORE-IJRED. All rights reservedArticle History: Received May 16th 2018; Received in revised form Octiber 6th 2018; Accepted Jnauary 6th 2019; Available onlineHow to Cite This Article: Al-Hayali, S., Ucan, O., Rahebi, J. and Bayat, O. (2019) Detection of Attacks on Wireless Sensor Network Using Genetic Algorithms Based on Fuzzy. International Journal of Renewable Energy Development, 8(1), 57-64.https://doi.org/10.14710/ijred.8.1.57-64

show abstract

An enhanced key management using ZigBee Pro for wireless sensor networks

Cited by 12 publications

References 10 publications

Security Improve in ZigBee Protocol Based on RSA Public Algorithm in WSN

Security Improve in ZigBee Protocol Based on RSA Public Algorithm in WSN

Conservation of Energy in Wireless Sensor Network by Preventing Denial of Sleep Attack

Detection of Attacks on Wireless Sensor Network Using Genetic Algorithms Based on Fuzzy

Contact Info

Product

Resources

About