NDLI: Dealing with advanced persistent threats in smart grid ICT networks

Content Provider	IEEE Xplore Digital Library
Author	Skopik, F. Friedberg, I. Fiedler, R.
Copyright Year	2014
Description	Author affiliation: Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria (Skopik, F.; Friedberg, I.; Fiedler, R.)
Abstract	With the increasing use of novel smart grid technologies, a comprehensive ICT network will be established in parallel to the electricity grid, which due to its large size, number of participants and access points will be exposed to similar threats as those seen on the current Internet. However, modern security systems that are applied in today's highly dynamic ICT networks, including malware scanners and intrusion detection systems, apply a kind of black-list approach, where they consider only actions and behavior that match to well-known attack patterns and signatures of malware traces. We argue that for the smart grid a more restrictive approach, that cannot be circumvented by customized malware, will increase the security level tremendously. Therefore, in this paper we present a smart white-list approach. Our anomaly detection technique keeps track of system events, their dependencies and occurrences, and thus learns the normal system behavior over time and reports all actions that differ from the created system model. The application of such a system is promising in a smart grid environment which mostly implements well-specified processes, resulting in rather predictable and static behavior. We demonstrate the application of the system in a small-scale pilot case of a real utility provider.
Sponsorship	IEEE Power & Energy Soc.
Starting Page	1
Ending Page	5
File Size	2629505
Page Count	5
File Format	PDF
ISBN	9781479936533
DOI	10.1109/ISGT.2014.6816388
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Event correlation Privacy Correlation SCADA systems Intrusion detection Ict security Malware Smart grids Anomaly detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Dealing with Advanced Persistent Threats in Smart Grid ICT Networks

Hardware-assisted malware detection for embedded systems in smart grid

Smart Grid Security Risks

Cyber security and communications network on SCADA systems in the context of Smart Grids

Anticipating Advanced Persistent Threat (APT) countermeasures using collaborative security mechanisms

A big data analytics based approach to anomaly detection

Cyber threats and defence approaches in SCADA systems

Model-based intrustion detection for the smart grid (MINDS)

Detecting cyber intrusions in SCADA networks using multi-agent collaboration

Dealing with advanced persistent threats in smart grid ICT networks

Similar Documents

Dealing with Advanced Persistent Threats in Smart Grid ICT Networks

Hardware-assisted malware detection for embedded systems in smart grid

Smart Grid Security Risks

Cyber security and communications network on SCADA systems in the context of Smart Grids

Anticipating Advanced Persistent Threat (APT) countermeasures using collaborative security mechanisms

A big data analytics based approach to anomaly detection

Cyber threats and defence approaches in SCADA systems

Model-based intrustion detection for the smart grid (MINDS)

Detecting cyber intrusions in SCADA networks using multi-agent collaboration

Dealing with advanced persistent threats in smart grid ICT networks