WEEK 5 - Applications of deep-learning

Deep-learning is an emerging technology and can be used in almost all fields today. It can be used in healthcare, cyber-security, car automation, and almost all sectors. But it has several applications of deep-learning in cyber-security. It can be used as an intrusion detection system for conducting network traffic analysis. It helps to provide the best accuracy than the other methods. It also helps to reduce the number of false alarms. It can be used to detect malware attacks. the existing system fails to identify the attacks when the behavior of the attack changes. deep-learning can identify such changing behavior as it does not work on a pre-defined pattern of attacks. It can be used in the detection of spam and social engineering. Deep-learning natural processing language technology can significantly help to prevent spams.

NAME	DRASHTI RATHOD (11677786)
PROJECT TITLE	DEEP LEARNING IN CYBER-SECURITY
WEEK NUMBER	5	DATE	19/4/2020
PLANNING
MILESTONE	PLANNED	ACTUAL	COMMENT
Search for research issues and challenges for deep-learning	To Search for research issues and challenges from multiple Journal paper.	Searched for research issues and challenges from various resources.	The task was completed effectively.
ISSUES
DESCRIPTION	DATE	ACTION/RESULT	FINISHED(Y/N)
To search relevant material	17/04/2020	Searched thoroughly	Yes