As cybercriminals continuously improve the sophistication and technology of their ransomware, different companies and governments are finding it hard to deal with them. Even security experts in Silicon Valley are feeling nervous. However, ransomware removal experts are impressed by the latest technology that is expected to bring the much needed stability in the cybersecurity space, known as Machine Learning.
Machine Learning is one of the hottest IT technologies right now, and has been transforming various industries and their business processes through its applications. It is a field in which computers are trained via algorithms and are able to predict various outcomes.
Machine Learning-Based Tools
According to ransomware removal experts, one of the biggest applications of ransomware is to use it for the creation of advanced anti-malware and anti-ransomware tools. Traditional tools are good but they often fail to detect a ransomware and are not “intelligent”.
However, with machine learning a large dataset of common ransomware is fed to machine learning algorithms that are able to learn their behavior, patterns and characteristics.
As a ransomware attacks a system, these ML-based tools are able to identify their modus operandi, through which they detect it and notify to the authorities about an intrusion. There are possibilities of a ransomware evading a ML-based tool in a scenario when it does not have the relevant data to identify it.
Discrepancies in Login Patterns
According to ransomware removal experts, cybercriminals often attack through phishing campaigns. In these campaigns, users are contacted by an attacker as a friend, family, and stranger or even as an authority and duped into typing their sensitive login details through which the ransomware is able to attack and infect their PCs.
Fortunately, Machine Learning can make a difference here. Each user on the internet has their login pattern. ML based systems are able to go through login patterns of users and identify if they find any discrepancy in the login pattern of a user when it is used by a cybercriminal.
Machine Learning has revolutionized many industries in the world and it is now poised to change the face of cybersecurity. Therefore, organizations can strengthen their security considerably through the use of ML-based security solutions.
