Cited By
View all- Sousan WZhu QGandhi RMahoney W(2013)Smart Grid Tamper Detection Using Learned Event PatternsOptimization and Security Challenges in Smart Power Grids10.1007/978-3-642-38134-8_5(99-115)Online publication date: 2-Nov-2013
Using anomalous event patterns in control systems for tamper detection
Article No.: 26, Page 1
Supplementary Material
Supplemental material. (a26-sousan_slide.pdf)
- Download
- 725.98 KB
References
[1]
Gibbs, N. 2003. Lights out. Time Magazine. August 25, 2003, p 30-39.
[2]
PDD-63, available: http://www.fas.org/irp/offdocs/pdd/pdd- 63.htm, Visited September 27, 2008.
[3]
Gorman, S. 2009. Electricity Grid in U.S. Penetrated By Spies. Wall Street Journal Online, http://online.wsj.com/article/SB123914805204099085.html
[4]
Modbus Application Protocol version 1.1b.
[5]
MODBUS Messaging on TCP/IP Implementation Guide V1.0b, available: http://www.modbusida. org/docs/Modbus_Messaging_Implementation_Guide_V1_0b.pdf.
[6]
"SecSS - Security Services Suite", I3P http://www.thei3p.org/docs/research/secss200904.pd.
[7]
Cheung, S., Dutertre, B., Fong, M., Lindqvist, U., Skinner, K., Valdes, A. 2007. Using Model-based Intrusion Detection for SCADA Networks. In Proceedings of the SCADA Security Scientific Symposium, Florida, January 2007.
[8]
Ren, S. and Kwiat, K. 2008. A Non-Intrusive Approach to Enhance Legacy Embedded Control Systems with Cyber Protection Features. In Third International Conference on Availability, Reliability and Security, 2008. ARES 08. 4-7 March 2008 Page(s):1180-1187.
[9]
Oman, P, and Phillips, M. 2007. Intrusion Detection and Event Monitoring in SCADA Networks. Chapter 12 in Critical Infrastructure Protection, pp. 161-174, (E. Goetz & S. Shenoi, eds.) Springer, New York, NY, 2007.
Recommendations
Urban Sensing for Anomalous Event Detection:: Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability
Machine Learning and Knowledge Discovery in DatabasesAbstractSensors deployed in different parts of a city continuously record traffic data, such as vehicle flows and pedestrian counts. We define an unexpected change in the traffic counts as an anomalous local event. Reliable discovery of such events is ...
Anomalous video event detection using spatiotemporal context
Compared to other anomalous video event detection approaches that analyze object trajectories only, we propose a context-aware method to detect anomalies. By tracking all moving objects in the video, three different levels of spatiotemporal contexts are ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
October 2011
18 pages
Copyright © 2011 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- Eurosis: Eurosis
- Oak Ridge National Laboratory
- University of Tennessee: University of Tennessee
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 October 2011
Check for updates
Qualifiers
- Research-article
Conference
CSIIRW '11
Sponsor:
- Eurosis
- University of Tennessee
CSIIRW '11: Cyber Security and Information Intelligence Research Workshop
October 12 - 14, 2011
Tennessee, Oak Ridge, USA
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 184Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 25 Nov 2024
Other Metrics
Citations
Cited By
View all- Sousan WZhu QGandhi RMahoney W(2013)Smart Grid Tamper Detection Using Learned Event PatternsOptimization and Security Challenges in Smart Power Grids10.1007/978-3-642-38134-8_5(99-115)Online publication date: 2-Nov-2013
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in