The majority of the deep learning applications that we see in the community are usually geared towards fields like marketing, sales, finance, etc. We hardly ever read articles or find resources about deep learning being used to protect these products, and the business, from malware and hacker attacks.
While the big technology companies like Google, Facebook, Microsoft, and Salesforce have already embedded deep learning into their products, the cybersecurity industry is still playing catch up. It’s a challenging field but one that needs our full attention.
In this article, we briefly introduce Deep Learning (DL) along with a few existing Information Security (hereby referred to as InfoSec) applications it enables. We then deep dive into the interesting problem of anonymous tor traffic detection and also present a DL-based solution to detect TOR traffic.
The target audience for this article is data science professionals who are already working on machine learning projects. The content of this article assumes that you have foundation knowledge of machine learning and are currently either a beginner, or are exploring, deep learning and it’s use cases.https://www.analyticsvidhya.com/blog/2018/07/using-power-deep-learning-cyber-security/