Improving Antivirus Signature For Detection Ransomware Attacks With Machine Learning

Ransomware attacks: detection, prevention and cure

The notion of ransomware has actually been around for quite some time. In 1989, Dr Joseph Popp distributed a trojan called PC Cyborg in which malware would hide all folders and encrypt files on the PC’s C: drive. A script delivered a ransom message demanding that $189 be directed to the PC Cyborg Corporation. The afflicted PC wouldn’t function until the ransom was paid and the malware’s actions...

A Hybrid Machine Learning Method for Intrusion Detection

Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...

Techniques and Solutions for Addressing Ransomware Attacks

Ransomware is a form of extortion-based attack that locks the victim’s digital resources and requests money to release them. Although the concept of ransomware is not new (i.e., such attacks date back at least as far as the 1980s), this type of malware has recently experienced a resurgence in popularity. In fact, over the last few years, a number of high-profile ransomware attacks were reported...

Machine Learning for Signature Verification

Signature verification is a common task in forensic document analysis. It is one of determining whether a questioned signature matches known signature samples. From the viewpoint of automating the task it can be viewed as one that involves machine learning from a population of signatures. There are two types of learning to be accomplished. In the first, the training set consists of genuines and...

Detection of Phishing Attacks: A Machine Learning Approach