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B.E. (Artificial Intelligence and Data Science) Cryptographic and System Security Lab Syllabus - Mumbai University

This is the TY BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01815 and 1T01816. The first and second years of the degree are on NEP 2020.

Cryptographic and System Security Lab.pdf
Semester 6 · TY BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Cryptographic and System Security Lab

Semester 6 · TY BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Module 1*

  • 1* Design and Implementation of a product cipher using Substitution and Transposition ciphers.
  • 2* Implementation and analysis of RSA cryptosystem and Digital signature scheme using RSA/El Gamal.
  • 3* Implementation of Diffie Hellman Key exchange algorithm

Module 4

  • For varying message sizes, test integrity of message using MD-5, SHA-1, and analyse the performance of the two protocols. Use crypt APIs.
  • 5* Exploring wireless security tools like Kismet, NetStumbler etc.
  • 6* Study the use of network reconnaissance tools like WHOIS, dig,traceroute, nslookup to gather information about networks and domain registrars.

Module 7

  • Study of packet sniffer tools wireshark, :- 1. Observer performance in promiscuous as well as non-promiscuous mode. 2. Show the packets can be traced based on different filters.
  • 8* Download and install nmap. Use it with different options to scan open ports, perform OS fingerprinting, do a ping scan, tcp port scan, udp port scan, etc. .
  • 9* Detect ARP spoofing using nmap and/or open source tool ARPWATCH and wireshark

Module 10

  • Use the NESSUS/ISO Kaali Linux tool to scan the network for vulnerabilities

Module 11

  • Set up IPSEC under LINUX. b) Set up Snort and study the logs. c) Explore the GPG tool of linux to implement email security.

Useful Links

  • 1 www.leetcode.com
  • 2 www.hackerrank.com
  • 3 www.cs.usfca.edu/
  • 4 www.codechef.com

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.42 (R), under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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