Due to the exponential growth of Internet of Things (IoT) devices in recent years, combined with the often under-securing of such devices, the rise of botnets targeting these devices for recruitment has significantly increased. Once compromised, a part of these botnets can be used to orchestrate devastating distributed denial of service (DDoS) attacks. Unfortunately, imposing standards on such devices is a challenging task because the manufacturing process is cheap and rapid mass. Therefore, another solution to the increasing threat of DDoS attacks must be formed. This paper details a responsive machine learning based solution to detect outgoing malicious traffic such as various DDoS attacks, as well as providing a proof of concept and an interesting sneak peak into the emerging world of software defined security solutions.
|Publication status||In preparation - 20 Feb 2019|
- IoT security
- DDoS mitigation
- machine learning