A randomised scheme for secured modular exponentiation against power analysis attacks. Issue 4 (2nd October 2019)
- Record Type:
- Journal Article
- Title:
- A randomised scheme for secured modular exponentiation against power analysis attacks. Issue 4 (2nd October 2019)
- Main Title:
- A randomised scheme for secured modular exponentiation against power analysis attacks
- Authors:
- Barman, Moushumi
Mahanta, Hridoy Jyoti - Abstract:
- ABSTRACT: This paper presents an approach to compute secured modular exponentiation to mitigate power analysis attacks. Two processes have been designed based on 'multiply-always' binary method, which injects dummy multiplications so that the original multiplications can remain intact. The two processes are being invoked based on a random variable, which generated either 0 or 1. With these randomised modular exponentiation, the proposed approach can resist simple and differential power analysis attacks to a large extent. The proposed approach has been implemented using conventional 'squaring-multiplication' and 'Montgomery-Ladder' methods. Further, the work has also been extended to CRT-RSA, which is widely used for fast computation. The proposed method has been implemented for different key sizes of 1024-bit, 1536-bit and 2048-bit RSA & CRT-RSA. The analysis and results show that with a complexity of O ( n ), the proposed approach can resist some of the standard DPA attacks on modular exponentiation.
- Is Part Of:
- Cyber-physical systems. Volume 5:Issue 4(2019)
- Journal:
- Cyber-physical systems
- Issue:
- Volume 5:Issue 4(2019)
- Issue Display:
- Volume 5, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 5
- Issue:
- 4
- Issue Sort Value:
- 2019-0005-0004-0000
- Page Start:
- 209
- Page End:
- 230
- Publication Date:
- 2019-10-02
- Subjects:
- CMOS -- power analysis attacks -- modular exponentiation -- DPA -- RSA
Cooperating objects (Computer systems) -- Periodicals
Internet of things -- Periodicals
006.22 - Journal URLs:
- http://www.tandfonline.com/toc/tcyb20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/23335777.2019.1637944 ↗
- Languages:
- English
- ISSNs:
- 2333-5777
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12030.xml