Malicious PDF File Detection Using Deep Learning

Authors

  • GANGA RAMA KOTESWARA RAO, P. VIDYA SAGAR

Abstract

In recent times, malware has been growing continuously as in our digital world.
The detection of malware is important for recognizing cyber security problems in society. In
recent years AI techniques are exploited to sense the malware. Based on the approach of
signature for detecting the products like malware and antivirus with the help of assumption
rules in order to identify and categorize the various groups in malware detection types. Due
to the particular specified rules, it seems very difficult to acknowledge the newly occurred
malware. In recent times, the widely used technique with improved performance even in
larger datasets is Deep learning algorithm. Deep learning techniques are capable o to
discriminate benevolent and malevolent files without cost and unreliable feature
engineering

Published

2020-06-30

Issue

Section

Articles