| Title | A Novel Key Generation Approach Based on Facial Image Features for Stream Cipher System |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Sannidhan, M S, Sudeepa, K B, Martis, Jason E, Bhandary, Abhir |
| Conference Name | 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) |
| Date Published | Aug. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-5821-1 |
| Keywords | Ciphers, Encryption, feature extraction, Generators, Human Behavior, linear feedback shift register, Mathematical model, Metrics, Pseudo random number, pubcrawl, random key generation, resilience, Resiliency, Scalability, secret key generation, stream cipher system, Streaming media |
| Abstract | Security preservation is considered as one of the major concerns in this digital world, mainly for performing any online transactions. As the time progress, it witnesses an enormous amount of security threats and stealing different kind of digital information over the online network. In this regard, lots of cryptographic algorithms based on secret key generation techniques have been implemented to boost up the security aspect of network systems that preserve the confidentiality of digital information. Despite this, intelligent intruders are still able to crack the key generation technique, thus stealing the data. In this research article, we propose an innovative approach for generating a pseudo-pseudo-random key sequence that serves as a base for the encryption/decryption process. The key generation process is carried out by extracting the essential features from a facial image and based on the extracted features; a pseudo-random key sequence that acts as a primary entity for the efficient encryption/decryption process is generated. Experimental findings related to the pseudo-random key is validated through chi-square, runs up-down and performs a period of subsequence test. Outcomes of these have subsequently passed in achieving an ideal key. |
| URL | https://ieeexplore.ieee.org/document/9214095 |
| DOI | 10.1109/ICSSIT48917.2020.9214095 |
| Citation Key | sannidhan_novel_2020 |
A Novel Key Generation Approach Based on Facial Image Features for Stream Cipher System