Hands-on Cyber Security

Overview
This course introduces the core principles of cyber security, equipping learners with the skills needed to protect systems, networks, and data from digital threats. Participants will gain practical experience through real-world tools and scenarios involving threat detection, vulnerability assessment, and secure system design.

What You’ll Learn

  • Key concepts of cybersecurity, including common threats and defense strategies
  • Fundamentals of networking, cryptography, and secure application development
  • Real-world practices for incident response and security monitoring

Skills You’ll Gain

  • Network traffic analysis and vulnerability scanning
  • Implementation of security policies and encryption methods
  • Hands-on experience with tools like Wireshark, Nessus, OpenSSL, and OWASP ZAP

Prerequisite: None

Course Contents:
Introduction to cybersecurity and common threat types (malware, phishing, ransomware); Basics of networking (IP addressing, protocols, firewalls, VPNs); Threats and vulnerabilities; Vulnerability assessment using scanners; Security policies and incident response planning; Cryptography fundamentals (encryption, hashing, PKI); Web application security (SQL injection, XSS, secure coding practices); Security operations using SIEM tools and log analysis; Final capstone project to secure a simulated network or application environment.

Teaching Methodology:
Lectures, hands-on labs, tool-based simulations, and a capstone project.

Reference Material:

  1. Cybersecurity and Cyberwar: What Everyone Needs to Know by P.W. Singer & Allan Friedman
  2. The Web Application Hacker’s Handbook by Dafydd Stuttard & Marcus Pinto
  3. Computer Security: Principles and Practice by William Stallings

Ms. Maida Khalid

Ms. Maida Khalid is a Senior Lecturer in Software Engineering at Ibadat International University, Islamabad. She holds a Bachelor’s degree in Software Engineering from Foundation University and an MS in Software Engineering from the Military College of Signals, NUST.
With over seven years of teaching experience, she has previously served at The University of Lahore (Islamabad Campus) and has consistently contributed to academic development through project supervision, curriculum planning, and student mentoring. Alongside her academic career, Ms. Khalid is actively engaged in the software industry, currently working as a Project Manager.
Her professional domain includes Machine Learning, Data Science, and project-based software development. She brings real-world industry insights into the classroom, bridging the gap between academic learning and practical implementation. Her dual engagement in academia and industry enhances her ability to mentor students in emerging technologies and applied research.

Ms. Itrat Fatima

Ms. Itrat Fatima is a Lecturer in Computer Science at Capital University of Science and Technology, with an MS in Computer Science from COMSATS University Islamabad (2018). She has over four years of teaching experience, previously serving at the University of Lahore (Islamabad Campus). Her expertise spans Artificial Intelligence, Data Science, Smart Grids, and Machine Learning.
She has supervised numerous Final Year Projects, contributed to research proposals in AI-powered learning, fake news detection, and accessibility, and is actively involved in OBE curriculum design, including CLO-to-PLO mapping and psychomotor domain integration.
Ms. Fatima also leads online tech education at Skill Boost Institute, offering courses in AI, Data Science, Cyber Security, and Freelancing, empowering learners with industry-relevant skills.

Dr. Raja Habib

Dr. Raja Habib is an experienced academic and industry professional with over 12 years of expertise in software engineering, machine learning, and data science. He holds a PhD in Computer Science with a specialization in Machine Learning from CUST and an MS in Software Engineering from M.A.J.U., Pakistan, funded by the HEC Indigenous Scholarship.
Currently serving as an Assistant Professor in the Department of Computing at Shifa Tameer-e-Millat University, Islamabad, Dr. Habib has published several high-impact research papers and supervised numerous MS theses. His strong foundation in both academia and the software industry enables him to deliver practical, research-driven instruction in Machine Learning and Data Science, empowering students to solve real-world challenges effectively.

Register for the July Session

Fill out the form below to register.
Account Detail
Bank Name: Faysal Bank
Name: Raja Habib Ullah
Acc No: 3077301000002550