Discover and safe: an automated security management system for educational institutions. (9th January 2023)

• Record Type: Journal Article
• Authors: Kandhro, Irfan Ali; Khan, Umer; Memon, Shahrukh; Yasir, Mohammad
• Is Part Of: International journal of electronic security and digital forensics. Volume 15:Number 2(2023)
• Page Start: 158
• Page End: 176
• Publication Date: 2023-01-09
• Subjects: face detection -- face recognition -- security -- haar face detection -- geometrical approach -- pictorial approach; Computer crimes -- Periodicals; Computer crimes -- Investigation -- Periodicals; Computer security -- Periodicals; Electronic commerce -- Law and legislation -- Periodicals; Information warfare -- Periodicals; 005.805
• Languages: English
• ISSNs: 1751-911X

Abstract

In this paper, we proposed discover and safe (DaS) automatic security system by the help of face recognition. The focus of this automated system is to provide high-level security to manage the entry of people with face detection. This paper proposes haar cascade algorithm with dip libraries to create a camera-based real-time security management system through face detection and recognition. Haar cascade algorithm is an object detection algorithm which is mainly used in identifying face of any image or a real-time video (by webcam or building camera). The DaS framework worked on two phases: 1) to locate whether the VM is an unintended security; 2) to secure mission critical applications. The DaS access system implemented the face encoding scheme to detect the face and eye which works effectively on light and illumination changes. The results show that DaS framework can Armor the VM from obscured security problems and steal hidden doors against the attackers.