An expert system for automatic cyber risk assessment and its AI-based improvements

被引：2
|
作者：
Gatti, Gabriele [1 ]
Basile, Cataldo [1 ]
Perboli, Guido [2 ,3 ]
机构：
[1] Politecn Torino, DAUIN, Turin, Italy
[2] Politecn Torino, DIGEP, Turin, Italy
[3] Arisk SpA, Milan, Italy
来源：
2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC | 2023年
关键词：
cybersecurity risk estimation; expert system; artificial intelligence;
D O I：
10.1109/COMPSAC57700.2023.00220
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Evaluating risks against IT Systems is a complex yet crucial process that requires significant resources and competencies. This paper proposes RiskMan, an expert system for the automatic assessment of cyber risks that computes a risk score using information gathering and vulnerability assessment tools, public databases, and leaks from the dark web without involving cybersecurity experts. Moreover, RiskMan uses AI-driven techniques to determine risks also when only partial information is available.
引用
收藏
页码：1434 / 1440
页数：7
相关论文
共 50 条
  • [21] AI-Based Assistance System for Manufacturing
    Deppe, Sahar
    Brandt, Lukas
    Bruenninghaus, Marc
    Papenkordt, Jorg
    Heindorf, Stefan
    Tschirner-Vinke, Gudrun
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [22] AI-Based Health Management System
    Nagulpelli, Swadhin
    Chavan, Akash
    Kandalkar, Aniket
    Kulkarni, Smita
    INTELLIGENT SYSTEMS AND APPLICATIONS, ICISA 2022, 2023, 959 : 379 - 389
  • [23] AI-Based Health Management System
    Nagulpelli, Swadhin
    Chavan, Akash
    Kandalkar, Aniket
    Kulkarni, Smita
    Lecture Notes in Electrical Engineering, 2023, 959 : 379 - 389
  • [24] AI-BASED RAPID PLACENTAL ASSESSMENT TOOL
    Gernand, Alison D.
    Goldstein, Jeffery A.
    Parks, W. Tony
    Chen, Yukun
    Zhang, Zhuomin
    Davaasuren, Dolzodmaa
    Wu, Chenyan
    Beck, Celeste
    Taylor, Leigh
    Wang, James Z.
    PLACENTA, 2019, 83 : E84 - E85
  • [25] A Taxonomy of AI-Based Assessment Educational Technologies
    Hammad, Mahmoud M.
    Al-Refai, Mohammed
    Musallam, Wafaa
    Musleh, Sajida
    Faouri, Esra'a
    2024 15TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS, ICICS 2024, 2024,
  • [26] An AI-Based System Offering Automatic DR-Enhanced AR for Indoor Scenes
    Albanis, Georgios
    Gkitsas, Vasileios
    Zioulis, Nikolaos
    Onsori-Wechtitsch, Stefanie
    Whitehand, Richard
    Strom, Per
    Zarpalas, Dimitrios
    ADVANCED INTELLIGENT VIRTUAL REALITY TECHNOLOGIES, AIVR 2022, 2023, 330 : 187 - 199
  • [27] Prevalence of diabetic retinopathy in China: a nationwide survey by AI-based automatic screening system
    Sun, Z.
    Kuang, J.
    Liu, J.
    Wang, F.
    Wang, N.
    Wang, R.
    Liu, X.
    Wang, Z.
    Luo, Y.
    DIABETOLOGIA, 2018, 61 : S483 - S483
  • [28] AI-based software for cardiovascular disease assessment
    Arnould, Louis
    ACTA OPHTHALMOLOGICA, 2022, 100
  • [29] A Review of AI-Based Cyber-Attack Detection and Mitigation in Microgrids
    Beg, Omar A.
    Khan, Asad Ali
    Rehman, Waqas Ur
    Hassan, Ali
    ENERGIES, 2023, 16 (22)
  • [30] A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots
    AbuOdeh, Muhammed
    Adkins, Christian
    Setayeshfar, Omid
    Doshi, Prashant
    Lee, Kyu H.
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 15224 - 15231
12345