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

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

Somwanshi V.A.

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Prof. Dr. S.S Chorage

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Bharati vidyapeeths college of engg for women pune

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

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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

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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.. 2017. \u201cHigh Speed AES Algorithm to Detect Fault Injection Attacks and Implementation using FPGA\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 17 (GJCST Volume 17 Issue H2).

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GJCST Volume 17 Issue H2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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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

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v1.2

Issue date

May 24, 2017

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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): 280

Total Views (Real + Logic): 6513

Total Downloads (simulated): 1757

Publish Date: 2017 05, Wed

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Total Views: 6513

Total Downloads: 1757

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