Machine Learning and Cryptographic Algorithms -- Analysis and Design in
Ransomware and Vulnerabilities Detection
Abstract
The AI, deep learning and machine learning algorithms are gaining the
ground in every application domain of information technology including
information security. In formation security domain knows for traditional
password management systems, auto-provisioning systems and user
information management systems. There is another raising concern on the
application and system level security with ransomware. On the existing
systems cyber-attacks of Ransomware asking for ransom increasing every
day. Ransomware is the class of malware where the goal is to gain the
data through encryption mechanism and render back with the ransom. The
ransomware attacks are mainly on the vulnerable systems which are
exposed to the network with weak security measures. With the help of
machine learning algorithms, the pattern of the attacks can be analyzed.
Create or discuss a workaround solution of a machine learning model with
combination of cryptographic algorithm which will enhance the
effectiveness of the system response to the possible attacks. The other
part of the problem, which is hard part to create an intelligence for
the organizations for preventing the ransomware attacks with the help of
intelligent system password management and intelligent account
provisioning. In this paper I elaborate on the machine learning
algorithms analysis for the intelligent ransomware detection problem,
later part of this paper would be design of the algorithm.