Tahir, Ruhma, Hu, Huosheng, Gu, Dongbing, McDonald-Maier, Klaus D., Howells, Gareth (2013) Resilience against Brute Force and Rainbow Table Attacks using Strong ICMetrics Session Key Pairs. In: 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA). . IEEE (doi:10.1109/ICCSPA.2013.6487307) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59302)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://www.dx.doi.org/ 10.1109/ICCSPA.2013.6487307 |
Abstract
Cryptography has become an essential for providing security in embedded system applications. The employed cryptographic primitives should provide strong protection such that the security of the system is not compromised at any point in the lifecycle of a secure operation. This particularly includes the secure generation and maintenance of cryptographic keys. In general this assumption is difficult to accomplish, since there are attacks that come under this umbrella ranging from brute force attacks on the key to capturing the node to extract the key. In this paper we investigate and analyze ICMetrics and its counterpart scheme referred to as the scheme for the generation of strong high entropy ICMetrics session key pairs. ICMetrics is a key technology that computes the secret key based on hardware/ software properties of a device, thereby providing resilience against node capture attacks, while high entropy key pair generation scheme is employed to strengthen the generated ICMetrics basis number, so as to safeguard the generated strong key pairs from brute force and rainbow table attacks.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1109/ICCSPA.2013.6487307 |
Uncontrolled keywords: | Entropy, Force, Embedded systems, Encryption, Resilience |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Gareth Howells |
Date Deposited: | 30 Nov 2016 17:46 UTC |
Last Modified: | 05 Nov 2024 10:51 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/59302 (The current URI for this page, for reference purposes) |
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