A self-managing volatile key scheme for wireless sensor networks

Laouid, Abdelkader; Dahmani, Abdelnasser; Hassen, Hani Ragab; Bounceur, Ahcène; Euler, Reinhardt; Lalem, Farid; Tari, Abdelkamel

doi:10.1007/s12652-018-0772-9

Cited by 13 publications

(8 citation statements)

References 27 publications

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“…• Using one of the proposed key management schemes, such as Self-VKS [40], the entities may securely share a given large number K. We note that B and K should verify the conditions gcd 1 (K, B) = 1 and K > B.…”

Section: The Proposed Iot Encryption Architecturementioning

confidence: 99%

“…However, the nature of such connected devices limits the use of conventional key establishment techniques. Many researchers have proposed to use symmetric key pre-distribution schemes for the key establishment objective [40,42]. These schemes consider the resource limitation, the communication capability and the computation speed [43].…”

Section: Key Establishment Algorithmmentioning

confidence: 99%

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A flexible encryption technique for the internet of things environment

et al. 2020

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IoT promises a new era of connectivity that goes beyond laptops and smart connected devices to connected vehicles, smart homes, smart cities and connected healthcare. The huge volume of data that is collected from millions of IoT devices raises information security and privacy concerns for users. This paper presents a new scalable encryption technique, called Flexible encryption Technique (FlexenTech), to protect IoT data during storage and in transit. FlexenTech is suitable for resource constrained devices and networks. It offers a low encryption time, defends against common attacks such as replay attacks and defines a configurable mode, where any number of rounds or key sizes may be used. Experimental analysis of FlexenTech shows its robustness in terms of its multiple configurable confidentiality levels by allowing various configurations.This configurability provides several advantages for resource constrained devices, including reducing the encryption computation time by up to 9.7% when compared to its best rivals in the literature.

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Section: The Proposed Iot Encryption Architecturementioning

confidence: 99%

Section: Key Establishment Algorithmmentioning

confidence: 99%

A flexible encryption technique for the internet of things environment

et al. 2020

Self Cite

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“…The research Laouid et al 69 of this work lies in two main facts: first, place the master key in a subset of sensors; second, the master keys are unstable. Our extensive simulations have shown the effectiveness of this approach.…”

Section: Literature Reviewmentioning

confidence: 99%

An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

Ali

Humaria

Ramzan

et al. 2020

International Journal of Distributed Sensor Networks

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In wireless sensor networks, the sensors transfer data through radio signals to a remote base station. Sensor nodes are used to sense environmental conditions such as temperature, strain, humidity, sound, vibration, and position. Data security is a major issue in wireless sensor networks since data travel over the naturally exposed wireless channel where malicious attackers may get access to critical information. The sensors in wireless sensor networks are resource-constrained devices whereas the existing data security approaches have complex security mechanisms with high computational and response times affecting the network lifetime. Furthermore, existing systems, such as secure efficient encryption algorithm, use the Diffie–Hellman approach for key generation and exchange; however, Diffie–Hellman is highly vulnerable to the man-in-the-middle attack. This article introduces a data security approach with less computational and response times based on a modified version of Diffie–Hellman. The Diffie–Hellman has been modified to secure it against attacks by generating a hash of each value that is transmitted over the network. The proposed approach has been analyzed for security against various attacks. Furthermore, it has also been analyzed in terms of encryption/decryption time, computation time, and key generation time for different sizes of data. The comparative analysis with the existing approaches shows that the proposed approach performs better in most of the cases.

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“…Among the recently proposed works on the KMS for WSNs, a self-managing key scheme, which inserts the volatile master keys, i.e., master keys having very short life time, into a subset of all sensor nodes only in order to reduce their chances of obtaining by any attacker, has been proposed in [21]. The proposed scheme uses symmetric cryptography for generating the keys needed for establishing secure communication between the adjacent nodes.…”

Section: Related Workmentioning

confidence: 99%

Key Management for Hierarchical Wireless Sensor Networks: A Robust Scheme

Chanda¹,

Sadhukhan

Mukherjee

2020

EAI Endorsed Trans IoT

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Secure data transmission within the wireless sensor networks (WSNs) is a critical issue as they are mostly deployed in the open areas. Moreover, the communication between the cluster head (CH) and the base station (BS) in a hierarchical WSN is required to be more secure since the CH is responsible for data collection, aggregation and its forwarding to the BS. Thus, this paper aims to design a hybrid key management scheme (KMS) for the hierarchical WSNs for enhancing security between the CH and BS by using some asymmetric cryptographic technique while applying the secret key based communication among the member nodes to reduce their computational overheads. The security analysis of our proposed scheme exhibits its robustness against the node capture attack and its ability to support the node revocation. The performances of proposed scheme are also evaluated in term of data freshness, average number of keys established, throughput and computational cost to demonstrate its efficiency.

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A self-managing volatile key scheme for wireless sensor networks

Cited by 13 publications

References 27 publications

A flexible encryption technique for the internet of things environment

A flexible encryption technique for the internet of things environment

An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

Key Management for Hierarchical Wireless Sensor Networks: A Robust Scheme

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