SIDE CHANNEL ATTACK PERFORMANCE OF CORRELATION POWER ANALYSIS METHOD IN NOISE
INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY, sa.1, ss.101-111, 2023 (ESCI)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2023
- Dergi Adı: INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI)
- Sayfa Sayıları: ss.101-111
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
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.