Identity Authentication and Key Agreement Integrated Key Management Protocol for Heterogeneous Sensor Networks

Ma, Chunguang; Wang, Jiuru; Wu, Peng; Zhang, Hua

doi:10.4304/jcp.7.8.1847-1852

Cited by 9 publications

(6 citation statements)

References 12 publications

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“…Many recent WSN key management studies proposed a hierarchical architecture for networks, which are composed of a BS, a CH, and SNs [19]- [21]. This is because SNs make it hard to apply a high computational cryptographic method due to inadequate hardware performance.…”

Section: ) Random Key Predistributionmentioning

confidence: 99%

Location-Based Key Management Strong Against Insider Threats in Wireless Sensor Networks

Choi

Bang

Kim

et al. 2017

IEEE Systems Journal

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To achieve secure communications in wireless sensor networks (WSNs), sensor nodes (SNs) must establish secret shared keys with neighboring nodes. Moreover, those keys must be updated by defeating the insider threats of corrupted nodes. In this paper, we propose a location-based key management scheme for WSNs, with special considerations of insider threats. After reviewing existing location-based key management schemes and studying their advantages and disadvantages, we selected locationdependent key management (LDK) as a suitable scheme for our study. To solve a communication interference problem in LDK and similar methods, we have devised a new key revision process that incorporates grid-based location information. We also propose a key establishment process using grid information. Furthermore, we construct key update and revocation processes to effectively resist inside attackers. For analysis, we conducted a rigorous simulation and confirmed that our method can increase connectivity while decreasing the compromise ratio when the minimum number of common keys required for key establishment is high. When there was a corrupted node leveraging insider threats, it was also possible to effectively rekey every SN except for the corrupted node using our method. Finally, the hexagonal deployment of anchor nodes could reduce network costs.Index Terms-Insider threats, key revision process, locationbased key management, packet drop attack, wireless sensor network (WSN).

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Section: ) Random Key Predistributionmentioning

confidence: 99%

Location-Based Key Management Strong Against Insider Threats in Wireless Sensor Networks

Choi

Bang

Kim

et al. 2017

IEEE Systems Journal

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“…According to Ma’s study [ 85 ], we assume one WSN that adopts MICA2 and, integrates an 8 bit 8 MHz ATmega128L processor with the voltage is 3 V, the computational electric current is 8 mA, the received electric current is 10 mA, the transmitted electric current is 27 mA, and the transmission rate is 12.4 kb/s. Therefore, the executed 0.00032 s computation needs 3 V × 8 mA × 0.00032 s = 0.00768 mJ.…”

Section: Performance Analysismentioning

confidence: 99%

“…We assume that the receiving electric current of WSNs is 10 mA, the transmitting electric current is 27 mA, and the rate of transmission is 12.4 kb/s. According to Ma’s study [ 85 ], we assume that 1-byte transmission consumption is 3 V × 27 mA × 8 b/12400 b/s = 0.052mJ and a received byte consumption is 3 V × 10 mA × 8 b/12400 b/s = 0.019 mJ.…”

Section: Performance Analysismentioning

confidence: 99%

A Temporal Credential-Based Mutual Authentication with Multiple-Password Scheme for Wireless Sensor Networks

2017

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Wireless sensor networks (WSNs), which consist of a large number of sensor nodes, have become among the most important technologies in numerous fields, such as environmental monitoring, military surveillance, control systems in nuclear reactors, vehicle safety systems, and medical monitoring. The most serious drawback for the widespread application of WSNs is the lack of security. Given the resource limitation of WSNs, traditional security schemes are unsuitable. Approaches toward withstanding related attacks with small overhead have thus recently been studied by many researchers. Numerous studies have focused on the authentication scheme for WSNs, but most of these works cannot achieve the security performance and overhead perfectly. Nam et al. proposed a two-factor authentication scheme with lightweight sensor computation for WSNs. In this paper, we review this scheme, emphasize its drawbacks, and propose a temporal credential-based mutual authentication with a multiple-password scheme for WSNs. Our scheme uses multiple passwords to achieve three-factor security performance and generate a session key between user and sensor nodes. The security analysis phase shows that our scheme can withstand related attacks, including a lost password threat, and the comparison phase shows that our scheme involves a relatively small overhead. In the comparison of the overhead phase, the result indicates that more than 95% of the overhead is composed of communication and not computation overhead. Therefore, the result motivates us to pay further attention to communication overhead than computation overhead in future research.

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“…Assuming VIC (Voiceprint Identification Center) is the the voiceprint identification center, which is a trusted voiceprint management institutions [6] [7]. If each of A and B has an encrypted connection to the VIC, VIC can safely pass an encryption key to A and B via encrypted connection respectively.…”

Section: An Identity Authentication Scheme Based On Speaker Verifmentioning

confidence: 99%

Identity Authentication Scheme Expansion Based on Speaker Verification

Zhao¹,

Li²

2013

JCP

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Identity Authentication and Key Agreement Integrated Key Management Protocol for Heterogeneous Sensor Networks

Cited by 9 publications

References 12 publications

Location-Based Key Management Strong Against Insider Threats in Wireless Sensor Networks

Location-Based Key Management Strong Against Insider Threats in Wireless Sensor Networks

A Temporal Credential-Based Mutual Authentication with Multiple-Password Scheme for Wireless Sensor Networks

Identity Authentication Scheme Expansion Based on Speaker Verification

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