Information System Security
- Program: Information System Security
- Diploma in ISS with Honours (GPA 3.8 / 4.0)
- PTK Honor Student
- Learned Security, Network, System and Programming.
Jan 2020 - Apr 2020
- Developed Facial Recognition system using machine learning techniques
- Developed a logging system, a log-in system with authentication and an alert system.
- Analyzed machine learning modules such as Haar Cascade Face Detector in OpenCV, HoG Face Detector in Dlib and MTCNN
- The main goal of the project was to make a facial recognition system that you can put in an access restricted room or area.
- We wanted it to be accurate, be able to identify someone from a far, and to have at least five people that it can recognize.
- Develop a 2 way authentication signup and login function using password based authentication and face based authentication.
- facial recognition function
- logging system
- log-in system with authentication using password, facial recognition.
- alert system for enemy or unknown person.
Nov 23 2019
- 3rd place on the SAIT CTF
- Solved Forensics, Reverse Engineering, Programming and Web questions
- Learned basic concepts of Governance and Compliance framework such as SOX, PCI and NIST.
- Learned how to perform an internal security audit to assess a security control system.
- Learned PCI DSS Standard and gap analysis
- Evaluated organizational vulnerabilities
- Found vulnerabilities on the website and tried to attack via burp in kali linux.
- Learned analysis tools such as SPEiD, Ghidra, IDA, Procmon, Regshot, Wireshark).
- Learned I2C, SPI and PRU with BeagleBone Black
- Configured networks with Cisco routers and switches.
- Configured a virtual network for Apache2, DNS, pfsense.
- Studied concept with vulnerabilities of RIP, BGP, OSPF, STP, DTP.
- Used tools: Wire Shark(analyze network packet)
- Made program to analyze Unix/Windows file system and process.
- Explored OS vulnerabilities (CVE, CWE)
- Made program using Python and C with shellcode to exploit software and network.