SIDE CHANNEL ATTACK PERFORMANCE OF CORRELATION POWER ANALYSIS METHOD IN NOISE
INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY, no.1, pp.101-111, 2023 (ESCI)
- Publication Type: Article / Article
- Publication Date: 2023
- Journal Name: INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY
- Journal Indexes: Emerging Sources Citation Index (ESCI)
- Page Numbers: pp.101-111
- Karadeniz Technical University Affiliated: Yes
Abstract
This article explores the use of artificial noise to defend against power analysis and power analysis-based side-channel attacks on AES encryption. The study covers both hardware and open-source software components for performing power analysis and provides an analysis of attack performance. It also explains how security measures against side -channel attacks can be implemented without disrupting system operation.