ISSN 0278-6419 (*printed)
ISSN 1934-8428 (electronic version)
ISSN 0278-6419 (*printed)
ISSN 1934-8428 (electronic version)
En Ru
The method to identify workplace via monitor snapshot

The method to identify workplace via monitor snapshot

Recieved: 04/19/2023

Accepted: 06/02/2023

Published: 09/20/2023

Keywords: ndpoint cloud terminal, digital watermark, hypervisor KVM, QEMU, hash-function SHA-1, cyclic redundacy code CRC-8

To cite this article

Piskovsky V.O., Semenikhin D.A., Grusho A.A., Zabezhailo M.I. The method to identify workplace via monitor snapshot. // Moscow University Journal. Series 15. Computational Mathematics and Cybernetics. 2023. N 3, p.56-72 https://doi.org/10.55959/MSU/0137–0782–15–2023–47–3–56–72.

N 3, 2023

Abstract

The article discusses the development of a system for identifying the channel of information leakage from a document photo taken from a computer screen via digital watermarks integrated into the image on the monitor. The article also presents the results of an experimental study to prove the properties of the algorithm and its resistance to deliberate attacks.