Detailed Information on Publication Record
2017
Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence
GHAFIR, Ibrahim, Václav PŘENOSIL, Mohammad HAMMOUDEH, Liangxiu HAN, Raza UMAR et. al.Basic information
Original name
Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence
Authors
GHAFIR, Ibrahim (760 Syrian Arab Republic, guarantor, belonging to the institution), Václav PŘENOSIL (203 Czech Republic, belonging to the institution), Mohammad HAMMOUDEH (826 United Kingdom of Great Britain and Northern Ireland), Liangxiu HAN (826 United Kingdom of Great Britain and Northern Ireland) and Raza UMAR (826 United Kingdom of Great Britain and Northern Ireland)
Edition
Cambridge, United Kingdom, Proceedings of International Conference on Future Networks and Distributed Systems, p. 1-6, 6 pp. 2017
Publisher
ACM Digital Library
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/17:00096897
Organization unit
Faculty of Informatics
ISBN
978-1-4503-4844-7
UT WoS
000434833900034
Keywords in English
Cyber attacks; malware; advanced persistent threat; malicious SSL certificate; intrusion detection system.
Tags
International impact, Reviewed
Změněno: 13/5/2020 19:16, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Advanced Persistent Threat (APT) is one of the most serious types of cyber attacks, which is a new and more complex version of multistep attack. Within the APT life cycle, continuous communication between infected hosts and Command and Control (C&C) servers is maintained to instruct and guide the compromised machines. These communications are usually protected by Secure Sockets Layer (SSL) encryption, making it difficult to identify if the traffic directed to sites is malicious. This paper presents a Malicious SSL certificate Detection (MSSLD) module, which aims at detecting the APT C&C communications based on a blacklist of malicious SSL certificates. This blacklist consists of two forms of SSL certificates, the SHA1 fingerprints and the serial & subject, that are associated with malware and malicious activities. In this detection module, the network traffic is processed and all secure connections are filtered. The SSL certificate of each secure connection is then matched with the SSL certificate blacklist. This module was experimentally evaluated and the results show successful detection of malicious SSL certificates.