Journal of Infrastructure, Policy and Development 2024, 8(15), 9441. https://doi.org/10.24294/jipd9441 1 Article Enhancing secure access through time-stamped password analysis: Implications for infrastructure and policy development Mohanaad Shakir 1 , Boumedyen Shannaq 1,* , Oualid Ali 2 , Basel Bani-Ismail 3 1 University of Buraimi, Al Buraimi, Sultanate of Oman 2 College of Arts & Science, Computer Sciences Department, Applied Science University, Manama, Kingdom of Bahrain 3 Faculty of Information Technology, Majan University College, Muscat, Sultanate of Oman * Corresponding author: Boumedyen Shannaq, boumedyen@uob.edu.om Abstract: The proposed research work encompasses implications for infrastructure particularly the cybersecurity as an essential in soft infrastructure, and policy making particularly on secure access management of infrastructure governance. In this study, we introduce a novel parameter focusing on the timestamp duration of password entry, enhancing the algorithm titled EPSBalgorithmv01 with seven parameters. The proposed parameter incorporates an analysis of the historical time spent by users entering their passwords, employing ARIMA for processing. To assess the efficacy of the updated algorithm, we developed a simulator and employed a multi-experimental approach. The evaluation utilized a test dataset comprising 617 authentic records from 111 individuals within a selected company spanning from 2017 to 2022. Our findings reveal significant advancements in EPSBalgorithmv01 compared to its predecessor namely EPSBalgorithmv00. While EPSBalgorithmv00 struggled with a recognition rate of 28.00% and a precision of 71.171, EPSBalgorithmv01 exhibited a recognition rate of 17% with a precision of 82.882%. Despite a decrease in recognition rate, EPSBalgorithmv01 demonstrates a notable improvement of approximately 14% over EPSBalgorithmv00. Keywords: cybersecurity; time-stamped password analysis; infrastructure governance; EPSBalgorithmv01; ARIMA 1. Introduction The Today’s modern technological environment necessitates the daily use of information systems (Szymkowiak et al., 2021). The rapid advancement in this field has highlighted the critical importance of maintaining information security and privacy (AL-HASHIMI et al., 2017; Ismagilova et al., 2022). Moreover, Large Language Models (LLMs) and Generative AI (GenAI) have recently emerged as powerful tools in cybersecurity, enabling automated generation of both defensive and offensive tactics. Leveraging their vast training on diverse datasets, LLMs can simulate potential cyber-attacks, allowing cybersecurity professionals to identify system vulnerabilities proactively and understand how malicious actors might exploit them (Adebiaye, et al., 2024; Chaudhary et al., 2023; Shannaq, 2024a; Shannaq, 2024b; Shannaq and Shakir, 2024). Consequently, developing efficient mechanisms for data and information access has become essential (Al-Shamsi et al., 2024; Alshamsi et al., 2024; Tsang et al., 2019). Intelligent authorization techniques, which combine passwords with individual user behavior, are prime examples of such mechanisms (Papaspirou et al., 2021). Intelligent authorization methods are tools and techniques designed to provide safer access CITATION Shakir M, Shannaq B, Ali O, Bani- Ismail B. (2024). Enhancing secure access through time-stamped password analysis: Implications for infrastructure and policy development. Journal of Infrastructure, Policy and Development. 8(15): 9441. https://doi.org/10.24294/jipd9441 ARTICLE INFO Received: 2 October 2024 Accepted: 11 November 2024 Available online: 13 December 2024 COPYRIGHT Copyright © 2024 by author(s). Journal of Infrastructure, Policy and Development is published by EnPress Publisher, LLC. This work is licensed under the Creative Commons Attribution (CC BY) license. https://creativecommons.org/licenses/ by/4.0/