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  1. Proceedings of the Doctoral Symposium of the 16th International Middleware Conference (Middleware Doct Symposium '15)
  2. Intrusion Detection System for Embedded Systems
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Intrusion Detection System for Embedded Systems

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Intrusion Detection System for Embedded Systems

Content Provider ACM Digital Library
Author Tabrizi, Farid Molazem Pattabiraman, Karthik
Abstract Embedded devices are widely used in modern life. Smart meters are installed at homes, measure electricity consumption, and provide a two-way communication with the utility server. Modern cars consist of tens of Electronic Control Units (ECU) that control different components of the car such as speed, door locks, and breaks. Medical devices such as pacemakers and insulin pumps are implanted in the bodies of patients, and control their heart rate and insulin level. These devices are performing critical tasks and hence, their security is important. However, in recent years, researchers have found vulnerabilities in all these classes of devices, and have successfully demonstrated attacks against them. Given the critical nature of use cases of embedded systems, building Intrusion Detection System (IDS) for them is a necessity. However, embedded systems have constraints that make building IDS for them challenging. One of these constraints is memory. Memory capacity of embedded devices may be as small as several hundreds of kilobytes. This makes traditional solutions for building IDSes unusable. In my research, we analyze the security of embedded devices. Based on the results of my analysis, we develop techniques to automatically build IDSes for embedded devices, within their memory capacity, while optimizing the detection rate of the IDS with respect to the user's criteria. This research, makes developing IDSes for different classes of embedded systems, and with different memory capacities easier, and improves their security.
Starting Page 1
Ending Page 4
Page Count 4
File Format PDF
ISBN 9781450337281
DOI 10.1145/2843966.2843975
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-12-07
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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