Podrobný výpis o publikaci
2021
Towards a Data-Driven Recommender System for Handling Ransomware and Similar Incidents
HUSÁK, MartinZákladní údaje
Originální název
Towards a Data-Driven Recommender System for Handling Ransomware and Similar Incidents
Autoři
HUSÁK, Martin (203 Česká republika, garant, domácí)
Vydání
San Antonio, 2021 IEEE International Conference on Intelligence and Security Informatics (ISI), od s. 1-6, 6 s. 2021
Nakladatel
IEEE
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Kód RIV
RIV/00216224:14610/21:00122713
Organizace
Ústav výpočetní techniky – Masarykova univerzita – Repozitář
ISBN
978-1-6654-3838-4
UT WoS
000848301800018
Klíčová slova anglicky
ransomware;incident handling;lateral movement;recommender system
Návaznosti
EF16_019/0000822, projekt VaV.
Změněno: 31. 3. 2023 04:07, RNDr. Daniel Jakubík
Anotace
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.