High Speed AES Algorithm to Detect Fault Injection Attacks and Implementation using FPGA

Somwanshi V.A.; Prof. Dr. S.S Chorage

High Speed AES Algorithm to Detect Fault Injection Attacks and Implementation using FPGA

Somwanshi V.A. * §

Contact

Prof. Dr. S.S Chorage ‡

Contact

§ Bharati vidyapeeths college of engg for women pune

‡

Pune University

High Speed AES Algorithm to Detect Fault Injection Attacks and Implementation using FPGA

Article Fingerprint

ReserarchID

CSTITTU8SC

High Speed AES Algorithm to Detect Fault Injection Attacks and Implementation using FPGA Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Information security is an essential issue in communication system. Advance Encryption Standard (AES) is utilized as a part of many embedded applications to give data security. Different counter measures are present in AES against fault injection attacks. Plain text and key of 128-bit is given as an input to the system and encryption and decryption operations are performed. Flag error shows the status of fault. Fault is produced randomly during encryption and decryption. For this reason, round transformation is broken into two sections and a pipeline stage is inserted in between. After fault detection one operation is performed that is redundancy check. Detected error or fault is corrected using redundancy check. The scheme is implemented using FPGA.

References

12 Cites in Article

Reference Format

1. Hassen Mestiri,Belgacem Fatmakahri,Mohsen Bouallegue,Machhout (2016). A high speed AES design resistant to fault injection attacks. Microprocessors and Microsystems journal, 47-55.
2. Junfeng Chu,Mohammed Benaissa (2012). Error detecting AES using polynomial residue number systems. Microprocessors and Microsystems, 37(2), 228-234.
3. J Rajendran,H Borad,S Mantravadi,R Karri (2010). SLICED: Slide-based concurrent error detection technique for symmetric block ciphers. IEEE International Symposium on Hardware-Oriented Security and Trust, 70-75.
4. Mehran Mozaffari-Kermani,Arash Reyhani-Masoleh (2010). Concurrent Structure-Independent Fault Detection Schemes for the Advanced Encryption Standard. IEEE Transactions on Computers, 59(5), 608-622.
5. Luan Lan (2011). The AES Encryption and Decryption Realization Based on FPGA. 2011 Seventh International Conference on Computational Intelligence and Security, 603-607.
6. Hassen Mestiri,Noura Benhadjyoussef,Mohsen Machhout,Rached Tourki (2013). A Robust Fault Detection Scheme for the Advanced Encryption Standard. International Journal of Computer Network and Information Security, 5(6), 49-55.
7. Abidalrahman Moh'd,Yaser Jararweh,Lo'ai Tawalbeh (2011). AES-512: 512-bit Advanced Encryption Standard algorithm design and evaluation. 2011 7th International Conference on Information Assurance and Security (IAS), 292-297.
8. Trang Hoang,Nguyen Van Loi (2012). An efficient FPGA implementation of the Advanced Encryption Standard algorithm. IEEE Symposium on Industrial Electronics & Applications (ISIEA), 696-699.
9. Hassen Mestiri,Noura Benhadjyoussef,Mohsen Machhout,Rached Tourki (2013). A Robust Fault Detection Scheme for the Advanced Encryption Standard. International Journal of Computer Network and Information Security, 5(6), 49-55.
10. M Joye,P Manet,J-B Rigaud (2007). Strengthening hardware AES implementations against fault attacks. IET Information Security, 1(3), 106-110.
11. D Guo,R Mukhopadhyay,Karri (2012). Provably Secure Concurrent Error Detection Against Differential Fault Analysis. IACR Cryptology ePrint Archive
12. William Stallings (2003). Cryptography and Nework Security. Cryptography and Nework Security

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Somwanshi V.A., Prof. Dr. S.S Chorage. 2017. "High Speed AES Algorithm to Detect Fault Injection Attacks and Implementation using FPGA". Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 17 (GJCST Volume 17 Issue H2).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 17 Issue H2

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-H Classification B.2.4

B.7.1

Submission ReceivedDecember 11, 2016
Peer Review Double Blind
Handling Editor
Accepted January 2, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

May 24, 2017

Language

English

Order Article Reprint

Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Prof. Dr. S.S Chorage, Somwanshi V.A. (PhD/Dr. count: 1)

View Count (all-time): 467

Total Views (Real + Logic): 2364

Total Downloads (simulated): 146

Publish Date: 2017 01, Sun

Monthly Totals (Real + Logic):

Month 1: 60 views
Month 2: 35 views
Month 3: 37 views
Month 4: 28 views
Month 5: 63 views
Month 6: 35 views
Month 7: 44 views
Month 8: 31 views
Month 9: 35 views
Month 10: 20 views
Month 11: 42 views
Month 12: 34 views
Month 13: 23 views
Month 14: 30 views
Month 15: 36 views
Month 16: 33 views
Month 17: 47 views
Month 18: 29 views
Month 19: 36 views
Month 20: 42 views
Month 21: 23 views
Month 22: 23 views
Month 23: 45 views
Month 24: 36 views
Month 25: 21 views
Month 26: 43 views
Month 27: 36 views
Month 28: 33 views
Month 29: 38 views
Month 30: 34 views
Month 31: 35 views
Month 32: 25 views
Month 33: 34 views
Month 34: 15 views
Month 35: 26 views
Month 36: 15 views
Month 37: 29 views
Month 38: 33 views
Month 39: 20 views
Month 40: 30 views
Month 41: 23 views
Month 42: 40 views
Month 43: 22 views
Month 44: 24 views
Month 45: 12 views
Month 46: 34 views
Month 47: 23 views
Month 48: 35 views
Month 49: 39 views
Month 50: 18 views
Month 51: 35 views
Month 52: 23 views
Month 53: 39 views
Month 54: 44 views
Month 55: 20 views
Month 56: 35 views
Month 57: 41 views
Month 58: 25 views
Month 59: 46 views
Month 60: 36 views
Month 61: 46 views
Month 62: 30 views
Month 63: 29 views
Month 64: 17 views
Month 65: 35 views
Month 66: 28 views
Month 67: 14 views
Month 68: 28 views
Month 69: 21 views
Month 70: 35 views
Month 71: 17 views
Month 72: 33 views
Month 73: 40 views
Month 74: 14 views
Month 75: 15 views
Month 76: 30 views
Month 77: 47 views
Month 78: 31 views
Month 79: 40 views
Month 80: 14 views
Month 81: 38 views
Month 82: 21 views
Month 83: 37 views
Month 84: 47 views
Month 85: 29 views
Month 86: 20 views
Month 87: 34 views
Month 88: 39 views
Month 89: 27 views
Month 90: 37 views
Month 91: 27 views
Month 92: 39 views
Month 93: 20 views
Month 94: 32 views
Month 95: 46 views
Month 96: 13 views
Month 97: 26 views
Month 98: 27 views
Month 99: 39 views
Month 100: 40 views
Month 101: 34 views
Month 102: 30 views
Month 103: 26 views
Month 104: 31 views
Month 105: 36 views
Month 106: 53 views
Month 107: 41 views
Month 108: 59 views
Month 109: 41 views
Month 110: 29 views
Month 111: 26 views
Month 112: 29 views
Month 113: 29 views
Month 114: 26 views
Month 115: 52 views
Month 116: 31 views
Month 117: 54 views
Month 118: 22 views

Total Views: 2.4K

Total Downloads: 146

All Trends