Detailed Information on Publication Record
2021
Towards a Data-Driven Recommender System for Handling Ransomware and Similar Incidents
HUSÁK, MartinBasic information
Original name
Towards a Data-Driven Recommender System for Handling Ransomware and Similar Incidents
Authors
HUSÁK, Martin (203 Czech Republic, guarantor, belonging to the institution)
Edition
San Antonio, 2021 IEEE International Conference on Intelligence and Security Informatics (ISI), p. 1-6, 6 pp. 2021
Publisher
IEEE
Other information
Language
English
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
References:
RIV identification code
RIV/00216224:14610/21:00122713
Organization
Ústav výpočetní techniky – Repository – Repository
ISBN
978-1-6654-3838-4
UT WoS
000848301800018
Keywords in English
ransomware;incident handling;lateral movement;recommender system
Links
EF16_019/0000822, research and development project.
Změněno: 31/3/2023 04:07, RNDr. Daniel Jakubík
Abstract
V originále
Effective triage is of utmost importance for cybersecurity incident response, namely in handling ransomware or similar incidents in which the attacker may use self-propagating worms, infected files, or email attachments to spread malware. If a device is infected, it is vital to know which other devices can be infected too or are immediately threatened. The number and heterogeneity of devices in today's network complicate situational awareness of incident handlers, and, thus, we propose a recommender system that uses network monitoring data to prioritize devices in the network based on their similarity and proximity to an already infected device. The system enumerates devices in close proximity in terms of physical and logical network topology and sorts them by their similarity given by the similarity of their behavioral profile, fingerprint, or common history. The incident handlers can use the recommendation to promptly prevent malware from spreading or trace the attacker's lateral movement.