Subject Detail

Sno	Back	regulation	branch	year	semester	subject_code	name	credits	category
1	Back	R23AIML	ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML)	4	1	23A31702c	AI IN CYBERSECURITY	3.0	Theory

Syllabus List

Sno	subject	description	note	syllabus_file
1	AI IN CYBERSECURITY - 23A31702c (Theory)	23A31702c	23A31702c	Link

Book List

Sno	subject	title	author	publisher	edition	book_type	IMG	book_file	note
1	AI IN CYBERSECURITY - 23A31702c (Theory)	Information Security: Principles and Practice	Mark Stamp	Wiley	None	Textbook		Link	note
2	AI IN CYBERSECURITY - 23A31702c (Theory)	Machine Learning and Security	Clarence Chio & David Freeman	O‘Reilly Media	None	Textbook		Link	note
3	AI IN CYBERSECURITY - 23A31702c (Theory)	Data Mining for Malware Detection	Bhavani Thuraisingham	CRC Press.	None	Reference		Link	note
4	AI IN CYBERSECURITY - 23A31702c (Theory)	Understanding Machine Learning	Shai Shalev-Shwartz & Shai Ben-David	Cambridge University Press	None	Reference		Link	note

OnlineReference List

Sno	subject	title	note

Question Paper List

Sno	Subject	Question Paper Type	Date	Title	File

Lab List

Sno	subject	date	title