Reconstruction of Texts by Keyboard Acoustic Emanations
Author(s):
Rajeev B N
ISSN:
2349-6002
Cite This Article:
Reconstruction of Texts by Keyboard Acoustic EmanationsInternational Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 2 ,Page(s):60-63 ,July 2019 ,Available :IJIRT148446_PAPER.pdf
Keywords:
Keyboard Acoustic Emanations, Keystroke Extraction, Feature Extraction, Cluster Keystrokes, Supervised Classifier.
Abstract
Any breach of privacy and security in a digital medium is a serious issue. Keyboard acoustic emanation one of many side channel attack. The sound from keystroke of physical keys input can be reconstructed to extract information without the awareness of the user from a system. In this paper such keyboard acoustic emanations achieved by the process of record sample, filter sample, peak detection and classification for basic keystroke recognition. Cluster keystrokes provide the initial guess of sequence, both language model and supervised classifier work repeatedly classify, spellcheck over the result then retrieve classifier with corrected labels. The improved method increases the accuracy of text recovery of supervised data. The acoustic data of keystrokes properties and recording limiting factors are explored.
Article Details
Unique Paper ID: 148446

Publication Volume & Issue: Volume 6, Issue 2

Page(s): 60 - 63
Article Preview & Download




Go To Issue



Call For Paper

Volume 6 Issue 7

Last Date 25 December 2019


About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:8200 61 5067
Email: editor@ijirt.org
Website: ijirt.org

Policies