This summer internship program is designed to provide practical exposure to cyber security using easy-to-learn tools and real-world scenarios. The course focuses on understanding how cyber attacks occur and how network-level data can be analyzed to detect and prevent such attacks. Students will work with tools such as Wireshark, Packet Tracer, and Nmap to capture and analyze traffic, identify vulnerabilities, and simulate secure networks. The program emphasizes hands-on learning with minimal theory, making it highly engaging and industry-relevant.
Course Details
Explore the comprehensive course modules
Footprinting and reconnaissance basics, Port scanning and open services Firewalls and Access Control Lists (ACLs), Secure network basics, Hands-on Tools:Nmap (basic scanning), Cisco Packet Tracer (ACL simulation)
Introduction to Cyber Security and real-world attacks, Types of attacks: Phishing, Malware, Ransomware, DoS/DDoS, CIA Triad – Confidentiality, Integrity, Availability Ethical hacking and safe practices, Basics of network communication from a security perspective
IP address, ports, and protocols (TCP/UDP basics), DNS and HTTP from a security viewpoint How attackers use network information, Hands-on Tools: ipconfig / ifconfig, ping, netstat
Man-in-the-Middle (MITM) concept, ARP Spoofing and DNS Spoofing (overview) Packet sniffing attacks, Basics of encryption, hashing, HTTPS and SSL/TLS Hands-on: ARP/DNS traffic in Wireshark, Compare HTTP vs HTTPS behavior
Packet capture and interface selection, Protocol analysis: TCP, DNS, HTTP, Packet filtering and inspection, Identifying suspicious traffic, Hands-on: Capture live traffic, Apply filters (IP, DNS, HTTP), Analyze browsing and network behavior
Identifying suspicious network activity, Real-world cyber attack case studies, Secure network practices Mini Projects, Case study, Cyber security analysis
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Dr. Shippu Sachdeva is an academic professional with a strong focus on emerging technologies and skill-based education. She has experience in delivering training programs and workshops aimed at enhancing students’ practical knowledge and industry readiness. She has actively contributed to the design and delivery of hands-on courses integrating programming, data analysis, and modern technological applications. Her teaching approach emphasizes learning through practical implementation using tools and real-world datasets, enabling students to build problem-solving skills. In the domain of Artificial Intelligence and Machine Learning, Dr. Sachdeva focuses on simplifying complex concepts and guiding students in developing real-life applications using Python-based tools. She is committed to equipping learners with industry-relevant skills aligned with careers in AI, Data Science, and related technology domains.
Dr. Manoj Sindhwani is an Associate Professor at Lovely Professional University, serving as Training and Placement Head and Assistant Dean. He is CCNA certified and has completed 20+ online learning MOOCs in emerging technologies. He holds a PhD in Vehicular Ad-hoc Networks and has extensive experience in conducting training programs, workshops, and skill development courses in Computer Networks. His focus is on delivering hands-on, industry-oriented learning aligned with careers in Networking, Cyber Security, Cloud Computing, and AI-driven technologies.
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