Preprint Review Version 1 This version is not peer-reviewed

From Data Breaches to Defense Strategies: A Study of Cybersecurity Information Systems Latest Trends and Future Paradigms

Version 1 : Received: 4 September 2024 / Approved: 5 September 2024 / Online: 5 September 2024 (10:55:08 CEST)

How to cite: Biplob, M. B.; Ahsan, K. M. M.; Farabi, A. M.; Konika, M. S.; Ahmed, A. From Data Breaches to Defense Strategies: A Study of Cybersecurity Information Systems Latest Trends and Future Paradigms. Preprints 2024, 2024090400. https://doi.org/10.20944/preprints202409.0400.v1 Biplob, M. B.; Ahsan, K. M. M.; Farabi, A. M.; Konika, M. S.; Ahmed, A. From Data Breaches to Defense Strategies: A Study of Cybersecurity Information Systems Latest Trends and Future Paradigms. Preprints 2024, 2024090400. https://doi.org/10.20944/preprints202409.0400.v1

Abstract

This paper explores the ever-changing topic of cybersecurity and provides a summary of the most recent developments. In a time of unparalleled digital revolution and changing threat environments, being aware of new trends is essential to managing risks and protecting important assets. To highlight significant advancements in fields like artificial intelligence and machine learning for threat detection, the proliferation of IoT devices and related security challenges, the emergence of quantum-resistant cryptography, the development of zero trust architectures, and the growing significance of cybersecurity awareness and education, the report synthesizes insights from industry experts, academic research, and real-world case studies. The goal of the report's analysis of these patterns is to provide stakeholders with useful information so they may modify their cybersecurity plans and strengthen defenses against new threats. Cybersecurity plays a significant role in the IT industry.

Keywords

internet; cyber security; cyber attack; artificial intelligence; machine learning; cyber information security; threats

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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