Abstract
The research within presents the use of Hidden Markov Models (HMM) for the detection of wireless devices in highly noisy environments using their unintended electromagnetic emissions (UEE). All electromagnetic devices emit such radiation that is unique to the electronics, housing, and other device attributes. This pattern recognition system can provide continuous detection analysis and can provide ideal information regarding the distance to an unknown device. An experiment was performed where UEE of a device was detected by a spectrum analyzer. Experimental result shows that our model can accurately detect if there is a device nearby emitting UEE or not.
Recommended Citation
S. P. Acharya et al., "System for Detection of Malicious Wireless Device Patterns," Procedia Computer Science, vol. 8, pp. 345 - 350, Elsevier, Mar 2012.
The definitive version is available at https://doi.org/10.1016/j.procs.2012.01.071
Meeting Name
Conference on Systems Engineering Research, CSER 2012 (2012: Mar. 19-22, St. Louis, MO)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Hidden Markov model; Malicious device identification; Unintended electromagnetic emissions
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2012 Elsevier, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 License.
Publication Date
01 Mar 2012
