Generative AI in Cybersecurity
Motivation and Scope
The topics of Interest Include, but are not limited to:
Vulnerability Assessment: Enhancing detection and assessment methodologies with GenAI.
Social Engineering and Phishing Attacks: Crafting sophisticated social engineering attacks and developing prevention strategies.
Automated Hacking and Attack Payload Generation: Automating hacking processes and generating complex attack payloads.
Ransomware and Malware Code Generation: Creating and detecting advanced malicious software.
Polymorphic Malware Generation: Generating and neutralizing dynamic, AI-generated threats.
Cyberdefense Automation: Automating and enhancing defense mechanisms through AI integration.
Cybersecurity Reporting and Threat Intelligence: Leveraging AI for advanced threat intelligence and proactive defense.
Secure Code Generation and Detection: Employing AI for secure code generation and vulnerability detection.
Identification of Cyber Attacks: Real-time attack identification and response using AI.
Developing Ethical Guidelines: Establishing ethical norms for AI deployment in cybersecurity.
Enhancing Cybersecurity Technologies: Augmenting existing tools and methodologies with AI.
Incident Response Guidance: Utilizing AI in incident response and management.
Malware Detection: Advancing detection techniques with AI.
Social, Legal, and Ethical Implications of Generative AI: Comprehensive analysis of societal impacts and ethical considerations.
Guest Editors
S. Leili Mirtaheri
University of Calabria, Italy
leili.mirtaheri@dimes.unical.it
Andrea Pugliese
University of Calabria, Italy
andrea.pugliese@unical.it
Valerio Pascucci
University of Utah, United States of America
pascucci@acm.org
Submission portal opens: November 1, 2024
Deadline for paper submission: May 15, 2025
Manuscript Submission Instructions
The FGCS’s submission system (https://www.editorialmanager.com/fgcs/default.aspx) will be open for submissions to our Special Issue from November 1, 2024. When submitting your manuscript please select the article type VSI: GenAI in Cybersecurity.
Future Generation Computer Systems的CAR指数
2023年3月份科睿唯安官方一次性踢除35本SCI期刊，多数涉及学术诚信问题，让我们意识到学术期刊的“被踢”指数，也很重要。目前，对于期刊的“被踢”指数，这里介绍一下：CAR指数（关于CAR的详细介绍，请关注：www.jcarindex.com），这是一种评价期刊学术诚信风险的指数，指数越高代表可能的风险越大。从数据看，Future Generation Computer Systems不管是2022年度，还是2023年度的CAR指数，都是比较低的。当然，CAR指数仅供参考，期刊风险情况，需以科睿唯安或中科院预警等官方为准！
让推送更美好~
