System for Detection of Malicious Wireless Device Patterns | Zendy

Shikhar P. Acharya | Zendy; Ritesh Arora | Zendy; Ivan G. Guardiola | Zendy

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System for Detection of Malicious Wireless Device Patterns

Author(s) -

Shikhar P. Acharya,

Ritesh Arora,

Ivan G. Guardiola

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.01.071

Subject(s) - computer science , wireless , hidden markov model , electronics , spectrum analyzer , electromagnetic environment , artificial intelligence , telecommunications , electrical engineering , engineering

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

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