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  5. Accuracy Enhancement of Electromagnetic Side-Channel Attacks on Computer Monitors
 
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Accuracy Enhancement of Electromagnetic Side-Channel Attacks on Computer Monitors

Author(s)
Sayakkara, Asanka P.  
Le-Khac, Nhien-An  
Scanlon, Mark  
Uri
http://hdl.handle.net/10197/25078
Date Issued
2018-08-27
Date Available
2023-11-29T10:22:05Z
Abstract
Electromagnetic noise emitted from running computer displays modulates information about the picture frames being displayed on screen. Attacks have been demonstrated on eavesdropping computer displays by utilising these emissions as a side-channel vector. The accuracy of reconstructing a screen image depends on the emission sampling rate and bandwidth of the attackers signal acquisition hardware. The cost of radio frequency acquisition hardware increases with increased supported frequency range and bandwidth. A number of enthusiast-level, affordable software defined radio equipment solutions are currently available facilitating a number of radio-focused attacks at a more reasonable price point. This work investigates three accuracy influencing factors, other than the sample rate and bandwidth, namely noise removal, image blending, and image quality adjustments, that affect the accuracy of monitor image reconstruction through electromagnetic side-channel attacks.
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2018 the Authors
Subjects

Electromagnetic side-...

Unintentional hardwar...

Software defined radi...

Eavesdropping

DOI
10.1145/3230833.3234690
Language
English
Status of Item
Peer reviewed
Journal
ARES 2018: Proceedings of the 13th International Conference on Availability, Reliability and Security
Conference Details
The 13th International Conference on Availability, Reliability and Security (ARES 2018), Hamburg, Germany, 27- 30 2018
ISBN
9781450364485
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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EMAttacksComputerMonitors.pdf

Size

477.24 KB

Format

Adobe PDF

Checksum (MD5)

045b5ec14d87540087022b423950d6bd

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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