A hierarchical key management method for wireless sensor networks

rezaeipour, Kokab Havashemi; Barati, Hamid

doi:10.1016/j.micpro.2022.104489

Cited by 19 publications

(10 citation statements)

References 22 publications

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“…Key management which involves the secure generation, distribution, and storage of cryptographic keys. It ensures that only authorized entities have access to the keys required for encryption and decryption [147], [148]. Maintaining the confidentiality of messages, preventing unauthorized entities from decrypting and accessing sensitive information by controlling access to cryptographic keys.…”

Section: Message Confidentialitymentioning

confidence: 99%

Privacy and security issues surrounding vehicular Adhoc networks

Emmanuel Asituha

2023

World J. Adv. Res. Rev.

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Vehicular Ad-Hoc Networks (VANETs) is a type of mobile ad hoc network (MANET) specifically designed for communication among vehicles on the road. VANETs enable vehicles to communicate with each other and with roadside infrastructure, forming a dynamic and self-organizing network without the need for a fixed communication infrastructure. Security concerns in VANETs encompass a range of threats, including Authentication and Authorization attacks, Sybil attacks, Denial-of-Service incidents, Location spoofing, and Eavesdropping. Privacy, on the other hand, is a paramount concern in VANETs due to the sensitive nature of location-based data, Identity Disclosure, and user consent Control. The paper emphasizes the necessity for robust security mechanisms and outlines specific requirements for safeguarding VANETs. Proposed mitigation measures, including cryptographic techniques and authentication mechanisms, are critically assessed for their effectiveness and feasibility. The findings provide a comprehensive understanding of the complexities surrounding privacy and security in VANETs, contributing valuable insights for the development of resilient and privacy-preserving vehicular communication systems.

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Section: Message Confidentialitymentioning

confidence: 99%

Privacy and security issues surrounding vehicular Adhoc networks

Emmanuel Asituha

2023

World J. Adv. Res. Rev.

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“…However, different approaches have been put forth in the literature over the years for failure restoration 4–7 . These proposed methods differ in network formulations and requirements.…”

Section: Introductionmentioning

confidence: 99%

“…However, different approaches have been put forth in the literature over the years for failure restoration. [4][5][6][7] These proposed methods differ in network formulations and requirements. Examples of these models are swarm intelligence based on ant colony system (ACS), 8,9 enhanced genetic algorithm (EGA), 10 ant colony optimization (ACO), 11 and generic algorithm (GA).…”

mentioning

confidence: 99%

Efficient hybrid enhanced genetic algorithm and ant colony system model for rerouting multimedia message in multiple node–link failures within wireless network

Owoade

Ogundile

Babalola

et al. 2023

Int J Communication

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Summary Failure‐resilient wireless networks have attracted the interest of the research community and have been an open area of concern in the studies of wireless network in recent years. Accordingly, different research on restoration techniques have been carried out to proffer solution to the network component failures. In the same vein, this article proposes a hybridized enhanced genetic algorithm and ant colony system (EGAACS) survivability model, which can instantly resolve node–link failure problems, thus improving the quality of service of the wireless network. The EGAACS is a hybrid model that combines the principles of the enhanced genetic algorithm (EGA) and ant colony system (ACS) models to form a capacity efficiency solution that outperforms the ACS and EGA models in terms of path cost and transmission delay. The resilience of this proposed EGAACS model is verified for different wireless network sizes (20, 30, 40, and 50 node networks). Simulation results show that the proposed EGAACS model generates the best close to optimal paths in terms of the path cost and transmission delay in comparison to the EGA and ACS models. In fact, the performance of the proposed EGAACS model is more conspicuous as the size of the network increases. More importantly, the proposed EGAACS model is suitable for real‐time wireless network as it exhibits moderate computational time complexity.

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“… Nafi et al (2022) proposed a new key management protocol aiming to secure communications before and after key establishment, used hash and one–one functions to achieve security during the key establishment process. Rezaeipour & Barati (2022) presented a key management protocol that delivers services such as message confidentiality, integrity, and authenticity to wireless sensor networks by handling keys generation, distribution, and maintenance. Kandi et al (2022) proposed a novel decentralized blockchain-based protocol for the IoT, balanceing the loads between nodes according to their capabilities.…”

Section: Introductionmentioning

confidence: 99%

Dynamic coefficient symmetric polynomial-based secure key management scheme for Internet of Things (IoT) networks

Liu,

Luo

2023

PeerJ Computer Science

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Background With the extensive application and continuous expansion of the Internet of Things (IoT), the access of a large number of resource-limited nodes makes the IoT application face a variety of security vulnerabilities and efficiency limitations, and the operating efficiency and security of IoT are greatly challenged. Key management is the core element of network security and one of the most challenging security problems faced by wireless sensor networks. A suitable key management scheme can effectively defend against network security threats. However, among the key management schemes that have been proposed so far, most of them do not take into account the efficiency in terms of connectivity rate and resource overhead, and some of them even have security risks. Methods In this article, based on the symmetric polynomial algorithm, a dynamic coefficient symmetric polynomial key management scheme is proposed to better solve the IoT security problem. In this scheme, the nodes’ IDs are mapped into the elements of the shared matrix M by the identity mapping algorithm, and these elements are used to construct polynomials P(x,y) to generate pairwise keys. The communicating nodes have their own coefficients of P(x,y) and thus have higher connectivity. Results The overall performance evaluation shows that the scheme significantly improves the resilience against node capture and effectively reduces the communication and storage overheads compared to the previous schemes. Moreover, the scheme overcomes the λ-security of symmetric polynomial key management scheme, and is able to provide a large pool of polynomials for wireless sensor networks, facilitating large-scale application of nodes.

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A hierarchical key management method for wireless sensor networks

Cited by 19 publications

References 22 publications

Privacy and security issues surrounding vehicular Adhoc networks

Privacy and security issues surrounding vehicular Adhoc networks

Efficient hybrid enhanced genetic algorithm and ant colony system model for rerouting multimedia message in multiple node–link failures within wireless network

Dynamic coefficient symmetric polynomial-based secure key management scheme for Internet of Things (IoT) networks

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