Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PDR: A Prevention, Detection and Response Mechanism for Anomalies in Energy Control Systems

Published

Author(s)

Maria C. Alcaraz, Meltem Sonmez Turan

Abstract

Prevention, detection and response are nowadays considered to be three priority topics for protecting critical infrastructures, such as energy control systems. Despite attempts to address these current issues, there is still a particular lack of investigation in these areas, and in particular in dynamic and automatic proactive solutions. In this paper we propose a mechanism, which is called PDR, with the capability of anticipating anomalies, detecting anomalous behaviours and responding to them in a timely manner. PDR is based on a conglomeration of technologies and on a set of essential components with the purpose of offering situational awareness irrespective of where the system is located. In addition, the mechanism can also compute its functional capacities by evaluating its efficacy and precision in the prediction and detection of disturbances. With this, the entire system is able to know the real reliability of its services and its activity in remote substations at all times.
Proceedings Title
Critical Information Infrastructures Security (Lecture Notes in Computer Science)
Issue
7722
Conference Dates
September 17-18, 2012
Conference Location
Lillehammer
Conference Title
7th International Workshop on Critical Information Infrastructures Security (CRITIS 2012)

Keywords

Detection, Energy Control Systems, Industrial Wireless Sensor Networks, Internet, MANET, Prevention, Response, Wide-Area Situational Awareness

Citation

Alcaraz, M. and Sonmez, M. (2013), PDR: A Prevention, Detection and Response Mechanism for Anomalies in Energy Control Systems, Critical Information Infrastructures Security (Lecture Notes in Computer Science), Lillehammer, -1, [online], https://doi.org/10.1007/978-3-642-41485-5_3 (Accessed February 21, 2024)
Created October 30, 2013, Updated November 10, 2018