Skip to Main Content

CS 321 Security Applications based AI: Reading list

CS 321 Security Applications based AI

Department: BSc in Computer Science

Module Description: This module provides an introduction to security applications based AI. The concepts of block chain technology and intrusion detection system, and anti-text Spam based on AI. In addition, Anti-Indecent Images and Videos based AI concept will be covered. This module covers the advance manage of federated machine-learning in different AI Applications. It offers a broad introduction to the key concepts related to fundamentals of federated decision-making in different AI applications that has effect on industrial needs, discussed the dynamic multi-secure decision matrix in AI applications and the security benchmarking process based on AI . Therefore, it is very important to learn the fundamentals of this course.

Module texts

  • Gil, L., Liska, A. and Safari. (2019). Security with AI and machine learning. O'Reilly Media. 

Recommended readings

  • Chio, C. and Freeman, D. (2018). Machine learning and security : protecting systems with data and algorithms. Sebastopol, CA: O'Reilly Media. 

  • Information Resources Management Association (ed.). (2021). Research anthology on artificial intelligence applications in security. Hershey, PA: Information Science Reference.

Ask a Librarian for help to find and evaluate resources