Abdullah Akram
FAST
· 2019
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i19-1782
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Year
2019
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Career
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Skills
React JS, Mongo DB, Express JS, Node JS, Firebase, Animaker, Visual Studio Code
Verbatim text
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Team Members: Manya Imran i19-1760 Humna Mursalim i19-2166 Abdullah Akram i19-1782 Supervisor: Mr. Muhammad Abdullah Abid Co-Supervisor: Mr. Zeeshan Qaiser Secure Watch: Cyber Security Training Platform. Secure Watch Web Application is a Cyber Security Learning Management System to train users on how to deal with attacks, what measures they should take and to identify the weak points that they need to improve. Secure Watch’s target audience has zero to no cyber security knowledge and is on a mission to provide them with knowledge so they don’t end up compromising their organization’s critical data due to any captivating bait on the internet. Secure Watch is a web application that covers four different modules like security terminologies, security threats, social engineering, and secure practices. Each module has either a video demonstration followed by an assessment or can be simulations to help the user learn from the real-time experience in lab simulations. Features include: - Real depiction of attack scenarios to lead the user into possible attack scenarios. - Animated Video of real-scenario lectures to present the user with data in an understandable way. - Assessment Scenarios to test the user’s knowledge. - Provide guidance on the mitigation technologies and protection measures to protect from possible attacks. Technology Used: React JS, Mongo DB, Express JS, Node JS, Firebase, Animaker, and Visual Studio Code. Supervisor Name: Mr Muhammad Abdullah Abid. Mr Zeeshan Qaiser.(External) Group Members: Manya Imran (i19 - 1760) Humna Mursalim (i19 - 2166) Abdullah Akram (i19 - 1782)
AI enrichment
Abdullah Akram is a student who contributed to the development of Secure Watch, a web-based cybersecurity training platform built with the MERN stack. The project focuses on educating users with no prior knowledge through simulations, video demonstrations, and assessments to improve security awareness.
Skills (AI)
["React JS", "Node JS", "Express JS", "MongoDB", "Firebase", "Web Development", "Cybersecurity Awareness"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 406
Created: 1778169248