Development of A Bio-Cryptographic Security Based Digital Video using Reptile Search Rivest-Shamir-Adleman

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@article{1712761,
      author = {Ajibade Bolarinwa Olusesan, Falohun Adeleye Samuel, Okediran Oladotun Olusola, Awodoye Olufemi O., Makinde Oladayo E.; Oguntoye Jonathan P.},
      title = {Development of A Bio-Cryptographic Security Based Digital Video using Reptile Search Rivest-Shamir-Adleman},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {6},
      pages = {837-846},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712761.pdf},
      abstract = {The growing demand for video streaming services necessitates robust security measures to protect content from unauthorized access and piracy. Traditional cryptographic methods face vulnerabilities in securing digital video content from unauthorized access and dissemination. Existing Rivest-Shamir-Adleman (RSA) techniques that achieved high level of security are limited by high encryption and decryption time. Hence, this research developed a Bio-Cryptographic security of digital video using Reptile Search Rivest-Shamir-Adleman (RS-RSA) system for a secure video encryption. Nine hundred (900) sample images from 300 students of Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, used in this study were acquired using Digital camera (Canon EOS R5) for faces; each with three samples. Six hundred and thirty (630) images of these faces were used for training while two hundred and seventy (270) images were used for testing. The acquired images were preprocessed using histogram equalization. RS-RSA was developed by using Reptile Search (RS) algorithm to optimize RSA. Matching score for identification was generated using Euclidean distance. The developed RS-RSA technique was implemented in MATLAB R2023a. The performace of the technique was evaluated using Encryption Time (ET), Decryption Time (DT), and Throughput (TH), by comparing with RSA technique. The verification of the faces were measured using Accuracy (ACC), False Acceptance Rate (FAR) and False Rejection Rate (FRR) for a range of threshold values. The ET, DT, TH for RS-RSA were 0.551 ms, 0.548 ms and 325.77 KB/s, respectively, while the corresponding value for RSA were 1.094 ms, 1.109 ms and 161.469 KB/s. The ACC, FAR and FRR for RS-RSA at optimum threshold of 0.98 were 94.44%, 5.128%, and 5.882%, respectively, while the corresponding value for RSA were 92.59%, 11.97% and 3.922%. The developed RS-RSA effectively improved the security of RSA through optimization using Reptile Search (RS) algorithm. The developed technique could be adopted for the development of a bio-cryptographic security based digital video.},
      keywords = {Biometrics, Cryptographic, Digital video, Face, Reptile Search Algorithm, Rivest-Shamir Adleman, Encryption, Decryption Time, Throughput.},
      month = {December},
      doi = {https://doi.org/10.64388/IREV9I6-1712761}
  }