When we talk about Security, spam is the first thing that comes to our mind. With the invention of the internet, computers were hooked together to create an effective and valuable communication network, and this medium which had broader distribution and free transmission, perfectly suited to steal account credentials, spread computer viruses, Malware, etc.
With enormous development in security domains like intrusion detection, malware analysis, web application security, network security, cryptography, etc., even today spam remains a major threat in the email and messaging space which directly impacts the general public.
The technologists saw a huge potential in Machine Learning in dealing with this constantly evolving issue. The email data can be accessed by the email providers and the internet service providers(ISPs) by which the user behavior, email content, and its metadata can be used to build content-based models to recognize spam. The metadata can be extracted and analyzed to predict the likelihood that an email is spam or not. Some best modern email filters can filter 99.9% of spam and block them, thanks to technology development.
Indeed, the spam-fighting story has helped researchers to know the importance of data and use the available data and machine learning to detect and defeat malicious adversaries.
Adversaries & Machine Learning
All said and done, the adversaries can also take advantage of machine learning to avoid detection and evade defenses. The attackers can also learn about the nature of defenses as much as the defend ..
Support the originator by clicking the read the rest link below.
