Attacks and solutions on a three-party password-based authenticated key exchange protocol for wireless communications

Chen, Chien‐Ming; Wang, King-Hang; Yeh, Kuo-Hui; Xiang, Bin; Wu, Tsu-Yang

doi:10.1007/s12652-018-1029-3

Cited by 126 publications

(56 citation statements)

References 19 publications

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“…Jia et al designed an identity-based anonymous authentication key agreement protocol for the mobile edge computing (MEC) environment, the protocol implements mutual authentication in a single message exchange round and ensures user anonymity and untraceability, but they did not consider other security properties affected by changes in environmental factors [19,20]. Chen et al proposed a new three-party password-based authentication key exchange protocol to ensure the security of key exchange in wireless communication, their communication cost is acceptable but they used personal smart devices instead of arbitrary IoT devices for evaluation [21]. These methods basically use the idea of traditional authentication methods using cryptographic primitives for authentication in the IoT environment.…”

Section: Related Workmentioning

confidence: 99%

Location-Aware Wi-Fi Authentication Scheme Using Smart Contract

Chen

Wang

Yang

et al. 2020

Sensors

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Advanced wireless technology in Internet of Things (IoT) devices is increasing and facing various security threats. The authentication of IoT devices is the first line of defense for the wireless network. Especially in a Wi-Fi network, the existing authentication methods mainly use a password or digital certificate, these methods are inconvenient to manage due to certificate issuance or prone to be attacked because passwords are easily cracked. In this paper, we propose a location-aware authentication scheme using smart contracts to ensure that IoT devices can securely perform Wi-Fi network authentication. The scheme adopts the concept of secondary authentication and consists of two phases: the registration phase, which is mainly designed to complete the generation of the public and private keys, and to link the device information with its related device information; the authentication phase, which is mainly designed to determine whether the requesting device is within a legal location range. We use the smart contract to ensure the credibility and irreparability of the authentication process. Analysis of the attack model and the attacks at different stages proves that this certification scheme is assured, and the simulation results show that the overhead introduced by this scheme is acceptable, this scheme can provide greater security for the Wi-Fi authentication of IoT devices.

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Section: Related Workmentioning

confidence: 99%

Location-Aware Wi-Fi Authentication Scheme Using Smart Contract

Chen

Wang

Yang

et al. 2020

Sensors

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“…At present, with the rapid development of computer technology [2][3][4][5][6], intelligent computing is one of the important methods of intelligent science, and it is also a cutting-edge subject of information technology. The intelligent computing technologies and new methods developed in recent years have been widely used in many disciplines, and have achieved fruitful results in military, financial engineering, nonlinear system optimization, knowledge engineering, and computer-aided medical diagnosis.…”

Section: Introductionmentioning

confidence: 99%

A Novel Pigeon-Inspired Optimization Based MPPT Technique for PV Systems

et al. 2020

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The conventional maximum power point tracking (MPPT) method fails in partially shaded conditions, because multiple peaks may appear on the power–voltage characteristic curve. The Pigeon-Inspired Optimization (PIO) algorithm is a new type of meta-heuristic algorithm. Aiming at this situation, this paper proposes a new type of algorithm that combines a new pigeon population algorithm named Parallel and Compact Pigeon-Inspired Optimization (PCPIO) with MPPT, which can solve the problem that MPPT cannot reach the near global maximum power point. This hybrid algorithm is fast, stable, and capable of globally optimizing the maximum power point tracking algorithm. Therefore, the purpose of this article is to study the performance of two optimization techniques. The two algorithms are Particle Swarm Algorithm (PSO) and improved pigeon algorithm. This paper first studies the mechanism of multi-peak output characteristics of photovoltaic arrays in complex environments, and then proposes a multi-peak MPPT algorithm based on a combination of an improved pigeon population algorithm and an incremental conductivity method. The improved pigeon algorithm is used to quickly locate near the maximum power point, and then the variable step size incremental method INC (incremental conductance) is used to accurately locate the maximum power point. A simulation was performed on Matlab/Simulink platform. The results prove that the method can achieve fast and accurate optimization under complex environmental conditions, effectively reduce power oscillations, enhance system stability, and achieve better control results.

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“…. Optimization algorithms could be applied in a wide range of areas, like wireless sensor networks [18][19][20][21][22][23][24], transportation optimization issues [25], high-dimensional expensive problems [26] etc. The search range of the problem is arranged to be [−1,1].…”

Section: Introductionmentioning

confidence: 99%

Parallel Compact Differential Evolution for Optimization Applied to Image Segmentation

et al. 2020

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A parallel compact Differential Evolution (pcDE) algorithm is proposed in this paper. The population is separated into multiple groups and the individual is run by using the method of compact Differential Evolution. The communication is implemented after predefined iterations. Two communication strategies are proposed in this paper. The first one is to replace the local optimal solution by global optimal solution in all groups, which is called optimal elite strategy (oe); the second one is to replace the local optimal solution by mean value of the local optimal solution in all groups, which is called mean elite strategy (me). Considering that the pcDE algorithm does not need to store a large number of solutions, the algorithm can adapt to the environment with weak computing power. In order to prove the feasibility of pcDE, several groups of comparative experiments are carried out. Simulation results based on the 25 test functions demonstrate the efficacy of the proposed two communication strategies for the pcDE. Finally, the proposed pcDE is applied to image segmentation and experimental results also demonstrate the superior quality of the pcDE compared with some existing methods.

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Attacks and solutions on a three-party password-based authenticated key exchange protocol for wireless communications

Cited by 126 publications

References 19 publications

Location-Aware Wi-Fi Authentication Scheme Using Smart Contract

Location-Aware Wi-Fi Authentication Scheme Using Smart Contract

A Novel Pigeon-Inspired Optimization Based MPPT Technique for PV Systems

Parallel Compact Differential Evolution for Optimization Applied to Image Segmentation

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