Biblio | CPS-VO

Gururaj, P.. 2020. Identity management using permissioned blockchain. 2020 International Conference on Mainstreaming Block Chain Implementation (ICOMBI). :1—3.

Authenticating a person's identity has always been a challenge. While attempts are being made by government agencies to address this challenge, the citizens are being exposed to a new age problem of Identity management. The sharing of photocopies of identity cards in order to prove our identity is a common sight. From score-card to Aadhar-card, the details of our identity has reached many unauthorized hands during the years. In India the identity thefts accounts for 77% [1] of the fraud cases, and the threats are trending. Programs like e-Residency by Estonia[2], Bitnation using Ethereum[3] are being devised for an efficient Identity Management. Even the US Home Land Security is funding a research with an objective of “Design information security and privacy concepts on the Blockchain to support identity management capabilities that increase security and productivity while decreasing costs and security risks for the Homeland Security Enterprise (HSE).” [4] This paper will discuss the challenges specific to India around Identity Management, and the possible solution that the Distributed ledger, hashing algorithms and smart contracts can offer. The logic of hashing the personal data, and controlling the distribution of identity using public-private keys with Blockchain technology will be discussed in this paper.

Hovhannes, H. Hakobyan, Arman, V. Vardumyan, Harutyun, T. Kostanyan. 2019. Unit Regression Test Selection According To Different Hashing Algorithms. 2019 IEEE East-West Design Test Symposium (EWDTS). :1–4.

An approach for effective regression test selection is proposed, which minimizes the resource usage and amount of time required for complete testing of new features. Provided are the details of the analysis of hashing algorithms used during implementation in-depth review of the software, together with the results achieved during the testing process.

Kishore, N., Kapoor, B.. 2014. An efficient parallel algorithm for hash computation in security and forensics applications. Advance Computing Conference (IACC), 2014 IEEE International. :873-877.

Hashing algorithms are used extensively in information security and digital forensics applications. This paper presents an efficient parallel algorithm hash computation. It's a modification of the SHA-1 algorithm for faster parallel implementation in applications such as the digital signature and data preservation in digital forensics. The algorithm implements recursive hash to break the chain dependencies of the standard hash function. We discuss the theoretical foundation for the work including the collision probability and the performance implications. The algorithm is implemented using the OpenMP API and experiments performed using machines with multicore processors. The results show a performance gain by more than a factor of 3 when running on the 8-core configuration of the machine.

Kishore, N., Kapoor, B.. 2014. An efficient parallel algorithm for hash computation in security and forensics applications. Advance Computing Conference (IACC), 2014 IEEE International. :873-877.

Hashing algorithms are used extensively in information security and digital forensics applications. This paper presents an efficient parallel algorithm hash computation. It's a modification of the SHA-1 algorithm for faster parallel implementation in applications such as the digital signature and data preservation in digital forensics. The algorithm implements recursive hash to break the chain dependencies of the standard hash function. We discuss the theoretical foundation for the work including the collision probability and the performance implications. The algorithm is implemented using the OpenMP API and experiments performed using machines with multicore processors. The results show a performance gain by more than a factor of 3 when running on the 8-core configuration of the machine.