Lightweight Dynamic Group Rekeying for Low-Power Wireless Networks in IIoT

Uchiteleva, Elena; Refaey, Ahmed; Shami, Abdallah

doi:10.1109/jiot.2020.2974839

Cited by 11 publications

(9 citation statements)

References 62 publications

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“…When CM j receives this message, it decodes this message using k initial , confirms the ID of CH i and extracts k cluster (see line 4 of Algorithm 2). This process is performed according to Equation (4).…”

Section: Secure Intra-cluster Communicationmentioning

confidence: 99%

“…They are equipped with a small battery (3,4). Recharging this battery is very difficult because sensors are usually scattered in insecure and inaccessible environments (5,6).…”

Section: Introductionmentioning

confidence: 99%

“…Sensors have different types, for example, thermal, magnetic, light, mechanical, and chemical. They are equipped with a small battery ( 3 , 4 ). Recharging this battery is very difficult because sensors are usually scattered in insecure and inaccessible environments ( 5 , 6 ).…”

Section: Introductionmentioning

confidence: 99%

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SecAODV: A Secure Healthcare Routing Scheme Based on Hybrid Cryptography in Wireless Body Sensor Networks

et al. 2022

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In recent decades, the use of sensors has dramatically grown to monitor human body activities and maintain the health status. In this application, routing and secure data transmission are very important to prevent the unauthorized access by attackers to health data. In this article, we propose a secure routing scheme called SecAODV for heterogeneous wireless body sensor networks. SecAODV has three phases: bootstrapping, routing between cluster head nodes, and communication security. In the bootstrapping phase, the base station loads system parameters and encryption functions in the memory of sensor nodes. In the routing phase, each cluster head node calculates its degree based on several parameters, including, distance, residual energy, link quality, and the number of hops, to decide for rebroadcasting the route request (RREQ) message. In the communication security phase, a symmetric cryptography method is used to protect intra-cluster communications. Also, an asymmetric cryptography method is used to secure communication links between cluster head nodes. The proposed secure routing scheme is simulated in the network simulator version 2 (NS2) simulator. The simulation results are compared with the secure multi tier energy-efficient routing scheme (SMEER) and the centralized low-energy adaptive clustering hierarchy (LEACH-C). The results show that SecAODV improves end-to-end delay, throughput, energy consumption, packet delivery rate (PDR), and packet loss rate (PLR).

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Section: Secure Intra-cluster Communicationmentioning

confidence: 99%

“…They are equipped with a small battery (3,4). Recharging this battery is very difficult because sensors are usually scattered in insecure and inaccessible environments (5,6).…”

Section: Introductionmentioning

confidence: 99%

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SecAODV: A Secure Healthcare Routing Scheme Based on Hybrid Cryptography in Wireless Body Sensor Networks

et al. 2022

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“…Practically, the methods addressing IoT-network security or access-level security are different than the one used for data-security. Approaches pertaining to the data security predominantly consider attackresilience, irrespective of the cost of computation (over large data size) and allied hardware realization [9]. On the contrary, the security measures designed towards access-control focus on retaining large key-size and encryption rounds to enable attackresilience [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…In such circumstance, developing a robust lightweight encryption system with conditional confusion (say, limit constrained confusion in SPN) with lower key-size and minimum encryption rounds can be of great significance [29] [30]. Undeniably, SPN based lightweight encryption methods have gained wide-spread attention towards IoT security; however, have always been criticized for limited S-box generation [29] [34]. Moreover, their suitability with single key assisted encryption [30] has also been under suspicious lens.…”

Section: Introductionmentioning

confidence: 99%

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Gurumanapalli¹,

Muthuluru²

2021

IJACSA

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In the last few years Internet-of-Things (IoT) technology has emerged significantly to serve varied purposes including healthcare, surveillance and control, business communication, civic administration and even varied financial activities. Despite of such broadened applications, being distributed, wireless based systems, IoTs are often considered vulnerable towards intrusion or malicious attacks, where exploiting the benefits of loosely connected peers, the attackers intend to gain device access or data access un authentically. However, being resource constrained in nature while demanding time-efficient computation, the majority of the classical cryptosystems are either computationally exhaustive or limited to avoid attacks like Brute-Force, Smart Card Loss Attack, Impersonation, Linear and Differential attacks, etc. The assumptions hypothesizing that increasing key-size with higher encryption round can achieve augmented security often fail in IoT due to increased complexity, overhead and eventual resource exhaustion. Considering it as limitation, in this paper we proposed a state-of-art Generalized Feistel Network assisted Shannon-Conditioned and Dynamic Keying based SSPN (GFS-SSPN) Lightweight Encryption System for IoT Security. Unlike classical cryptosystems or even substitution and permutation (SPN) based methods, we designed Shannon-criteria bounded SPN model with Generalized Feistel Network (SPN-GFS) modelthat employs 64-bit dynamic key with five rounds of encryption to enable highly attack-resilient IoT security. The proposed model was designed in such manner that it could be suitable towards both data-level security as well as device level accesscredential security to enable a "Fit-To-All" security solution for IoTs. Simulation results revealed that the proposed GFS-SSPN model exhibits very small encryption time with optimal NPCR and UACI. Additionally, correlation output too was found encouragingly fair, indicating higher attack-resilience.

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An Improvised Algorithm for a Dynamic Key Generation Model

Saran

Jain

2023

Lecture Notes in Networks and Systems

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Lightweight Dynamic Group Rekeying for Low-Power Wireless Networks in IIoT

Cited by 11 publications

References 62 publications

SecAODV: A Secure Healthcare Routing Scheme Based on Hybrid Cryptography in Wireless Body Sensor Networks

SecAODV: A Secure Healthcare Routing Scheme Based on Hybrid Cryptography in Wireless Body Sensor Networks

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

An Improvised Algorithm for a Dynamic Key Generation Model

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