D
2022
SoK: Applications and Challenges of using Recommender Systems in Cybersecurity Incident Handling and Response
HUSÁK, Martin and Milan ČERMÁK
Basic information
Original name
SoK: Applications and Challenges of using Recommender Systems in Cybersecurity Incident Handling and Response
Authors
HUSÁK, Martin (203 Czech Republic, guarantor, belonging to the institution) and Milan ČERMÁK (203 Czech Republic, belonging to the institution)
Edition
Vienna, The 17th International Conference on Availability, Reliability and Security (ARES 2022), p. "25:1"-"25:10", 10 pp. 2022
Other information
Type of outcome
Stať ve sborníku
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14610/22:00126038
Organization
Ústav výpočetní techniky – Repository – Repository
Keywords in English
Recommender System;Incident Handling;Incident Response
Links
EF16_019/0000822, research and development project.
V originále
Incident handling, a fundamental activity of a cybersecurity incident response team, is a complex discipline that consumes a significant amount of personnel's time and costs. There are continuous efforts to facilitate incident handling and response in terms of providing procedural or decision support and processing relevant data. In this paper, we survey the approaches towards (semi-)automated incident handling and response backed by recommender systems that are successful in other domains. We discuss which phases and tiers of incident handling can be automated and to what level while evaluating the maturity of proposed approaches and tools. While we did not find a full-scale recommender system that would guide the user through incident handling and suggest which steps to take, many of them aim at particular problems. The discussed issues are not resolved yet but seem to get the attention of researchers and will likely be investigated in the future.
Displayed: 1/11/2024 07:18