NDLI: Detecting new generations of threats using attribute-based attack graphs

Content Provider	IET Digital Library
Author	Nia, Mehran Alidoost Bahrak, Behnam Kargahi, Mehdi Fabian, Benjamin
Abstract	In recent years, the increase in cyber threats has raised many concerns about security and privacy in the digital world. However, new attack methods are often limited to a few core techniques. Here, in order to detect new threat patterns, the authors use an attack graph structure to model unprecedented network traffic. This graph for the unknown attack is matched to a pre-known threat database, which contains attack graphs related to each known threat. The main challenge is to associate unknown traffics to a family of known threats. For this, the authors utilise random walks and pattern theorem. The authors utilise the pattern theorem and apply it to a set of proposed algorithms for detecting new generations of malicious traffics. Under the assumption of having a proper threat database, the authors argue that for each unknown threat, which belongs to a family of threats, it is possible to find at least one matching pattern with high matching rate and sensitivity.
Starting Page	293
Ending Page	303
Page Count	11
ISSN	17518709
Volume Number	13
e-ISSN	17518717
Issue Number	Issue 4, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ifs/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ifs.2018.5409
Journal	IET Information Security
Publisher Date	2019-01-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Attack Graph Structure Attack Method Attribute-based Attack Graphs Combinatorial Mathematics Computer Communication Computer Network Security Core Technique Cyber Threats Data Security Digital World Generation Graph Theory Malicious Traffics Matching Pattern Pre-known Threat Database Privacy Proper Threat Database Random Processes Security Security of Data Telecommunication Security Telecommunication Traffic Threat Pattern Unknown Attack Unknown Threat Unknown Traffics Unprecedented Network Traffic
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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