A novel Modified Chaotic Simplified Advanced Encryption System (MCS-AES): Mixed reality for a secure surgical tele-presence

Aabha Neupane, Abeer Alsadoon, P. W.C. Prasad, Rasha Subhi Ali, Sami Haddad

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Mixed Reality (MR) surgery has not been effectively implemented in telemedicine due to strict requirements of security and delay minimization during real-time video transmission. Hence, this paper aims to propose a novel solution for Surgical Telepresence with highly secured and faster real-time video transmission. The proposed system consists of three components: Authentication (Pre-surgery), Data transmission (During-Surgery), and Storage (Post-Surgery). For Authentication, Pass-Matrix technique is used at both ends to provide graphical passwords. During the surgery, a hybrid system is used to provide highly secured and faster real-time video transmission. This system includes a Feistel Encryption System (FES), Modified Scaled Zhongtang Chaotic System (M-SCZS), and Modified Advanced Encryption System (M-AES) algorithm. After Surgery, the transmitted data are stored using the Information Accountability Framework (IAF) for future purposes. The results are obtained from the during-surgery stage for jaw, breast, and bowel surgery. Both solutions are simulated in MATLAB on a personal computer with average processing capability. The proposed solution improves the entropy from 7.733~7.782 to 7.798–7.996 and reduces the processing time from 8.642~9.911 s/frames to 5.071~6.563 s/frames. The proposed focus on reducing the total processing time for the encryption and decryption process with improving security during the surgery process. Finally, this solution provides a fast security system for surgical telepresence that helps both local and remote surgeons for secure real-time communication. The complexity for this work need to know the used chaotic method, the values of the chaotic parameters and for which this method was used, in addition to the complexity of state of the art.

Original languageEnglish
Pages (from-to)29043-29067
Number of pages25
JournalMultimedia Tools and Applications
Issue number39-40
Early online date08 Aug 2020
Publication statusPublished - Oct 2020


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