Article: Password recovery parallelisation and acceleration technology for autonomous and controllable platforms Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.43 pp.29 - 45 Abstract: With the widespread use of encryption in data storage and transmission, efficient password recovery is critical for legitimate access restoration and digital forensics. Traditional CPU-based solutions are inefficient for modern cryptographic algorithms such as AES-256 and SHA-512 due to limited serial computing capability, while GPU-based acceleration suffers from memory bandwidth and latency bottlenecks under complex control logic. To address these issues, this paper proposes a high-performance password recovery system for autonomous and controllable platforms. An intelligent decryption heterogeneous acceleration architecture (IDHAA) is designed to improve resource utilisation and coordination efficiency through fine-grained task decomposition and dynamic scheduling across heterogeneous computing units. Furthermore, a heuristic dynamic optimisation search (HDOS) algorithm is introduced to reduce blind traversal in large password spaces by adaptively optimising search strategies based on structural features and feedback information. Experimental results demonstrate significant improvements in recovery efficiency, success rate and system scalability. Inderscience Publishers - linking academia, business and industry through research

Title: Password recovery parallelisation and acceleration technology for autonomous and controllable platforms

Authors: Bensong Dong; Yixiang Ma; Ruqing Zhang

Addresses: College of Big Data and Artificial Intelligence, Zhengzhou University of Economics and Business, Zhengzhou, 450000, China; Henan Province Engineering Research Center of Multimodal Perception and Intelligent Interaction Technology, Zhengzhou, 450000, China ' College of Big Data and Artificial Intelligence, Zhengzhou University of Economics and Business, Zhengzhou, 450000, China; Henan Province Engineering Research Center of Multimodal Perception and Intelligent Interaction Technology, Zhengzhou, 450000, China ' College of Big Data and Artificial Intelligence, Zhengzhou University of Economics and Business, Zhengzhou, 450000, China; Henan Province Engineering Research Center of Multimodal Perception and Intelligent Interaction Technology, Zhengzhou, 450000, China

Abstract: With the widespread use of encryption in data storage and transmission, efficient password recovery is critical for legitimate access restoration and digital forensics. Traditional CPU-based solutions are inefficient for modern cryptographic algorithms such as AES-256 and SHA-512 due to limited serial computing capability, while GPU-based acceleration suffers from memory bandwidth and latency bottlenecks under complex control logic. To address these issues, this paper proposes a high-performance password recovery system for autonomous and controllable platforms. An intelligent decryption heterogeneous acceleration architecture (IDHAA) is designed to improve resource utilisation and coordination efficiency through fine-grained task decomposition and dynamic scheduling across heterogeneous computing units. Furthermore, a heuristic dynamic optimisation search (HDOS) algorithm is introduced to reduce blind traversal in large password spaces by adaptively optimising search strategies based on structural features and feedback information. Experimental results demonstrate significant improvements in recovery efficiency, success rate and system scalability.

Keywords: password recovery; autonomous and controllable platforms; GPU acceleration; parallel computing; encryption; algorithm optimisation.

DOI: 10.1504/IJICT.2026.153388

International Journal of Information and Communication Technology, 2026 Vol.27 No.43, pp.29 - 45

Received: 29 Dec 2025
Accepted: 28 Jan 2026
Published online: 06 May 2026 *

Title: Password recovery parallelisation and acceleration technology for autonomous and controllable platforms

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