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Sharma, B., Pokharel, P. and Joshi, B. (2020) User Behavior Analytics for Anomaly Detection Using LSTM Autoencoder—Insider Threat Detection. Proceedings of the 11th International Conference on Advances in Information Technology, Bangkok, 1-3 July 2020, 1-9.
https://doi.org/10.1145/3406601.3406610

has been cited by the following article:

• TITLE: A Comprehensive Review of Cybersecurity for Modern Work: Attacks, Zero Trust and NIS2 Compliance

  AUTHORS: Cristina-Ioana Călin, Andreea-Mihaela Comșiț

  KEYWORDS: Cybersecurity, Zero Trust Architecture, NIS2, Identity and Access Management, Cloud Security, Risk Mitigation, “Never Trust, Always Verify”

  JOURNAL NAME: Journal of Computer and Communications, Vol.13 No.8, August 15, 2025

  ABSTRACT: The COVID-19 pandemic drastically altered traditional work environments, accelerating remote work adoption and exposing new cybersecurity vulnerabilities. This article analyzes the evolving threat landscape in both Work From Office (WFO) and Work from Home (WFH) contexts, focusing on the surge in phishing, ransomware, insider threats and attacks exploiting unsecured home networks and remote access protocols. To address these risks, organizations must move toward adaptive security frameworks such as Zero Trust Architecture, which assumes no implicit trust within or outside the network and enforces strict access controls. Additionally, the article explores the relevance of the updated NIS2 Directive, which expands regulatory scope and introduces stricter cybersecurity obligations across critical sectors in the European Union (EU). Together, Zero Trust and NIS2 serve as foundational pillars for securing hybrid work models and enhancing organizational resilience in the face of modern cyber threats.