WEEK -9 Issues and challenges

Issue 4: Spam detection

Spam attacks have become more and more popular. the attackers sent the spam emails to thousands of random users by laying a trap and which help them get hold of the confidential information of the users. If any of the users fall in this trap they are further blackmailed by the hackers to get money. Spam detection has become very difficult and the existing system sare reaching their limitations. The Natural language processing concept which is based on the deep-learning algorithms can be used to detect and deal with spam. the NLP learns the form of communication by learning the language patterns and use the statistical model to  detect and block the spam

NAME
DRASHTI RATHOD (11677786)
PROJECT TITLE
DEEP LEARNING IN CYBER-SECURITY
WEEK NUMBER
9
DATE
17/5/2020

PLANNING                           
MILESTONE
PLANNED
ACTUAL
COMMENT
Find research papers that present the solution for next three issues and challenges.
To identify the solutions for remaining three issues and challenges of deep-learning in cyber-security.
Successfully studied 6 research paper to identify the solutions for next three issues and challenges of deep-learning in cyber-security.
The work done as per plan.
ISSUES
DESCRIPTION
DATE
ACTION/RESULT
FINISHED(Y/N)
It was challenging to search the relevant material
13/5/2020
ACTION
Y



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