AI and deep learning are revolutionizing all industries and the cyber security industry is no exception. Changing times means changing tactics and machine learning is going to be at the center of all things cyber security. To stay one step ahead, we need to think differently.
If you like solving complex problems, know your CNNs from your RNNs, and the world of PyTorch and Tensorflow are your playgrounds, then we’ve got a security challenge for you!
We initiated this competition to spur the development of defensive security solutions using advances in machine learning to detect and protect against vulnerabilities and malicious exploits. We have a bold ambition: to accelerate progress in automated cyber defense processes and contribute to the development of the first generation of autonomous and real-time models applied to cyber security problems.
You know pwn fu? It’s time to teach your AI to hack!
We’re challenging you to develop an automated penetration testing model based on the DeepExploit framework (https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/DeepExploit).
The goal is to produce a tool which can be pointed at a victim machine, and will use AI to exploit the victim machine completely automatically and without the need for human intervention.
Teams will be provided with a series of virtual machines with known vulnerabilities as testing data. Expected output consists of the development of a fully automatic penetration test tool using Machine Learning. The HITB testing VMs will be released the first week of July.
Finding needles in haystacks is hard. Detecting constantly evolving malware is even harder.
The goal of this contest is to use reinforcement learning and generative adversarial networks to modify existing malware to defeat virus detection agents. Teams will receive as input, decompiled code of known malware. A successful entry will use AI to modify this code so that it still functions as malware and can successfully avoid detection by antivirus scanners.
A grand prize of $50,000 per category!
- From all submitted applicants, three semi-finalist teams will be selected for each of the two competition projects.
- Each of the six semi-finalist teams will be awarded a grant of $10,000 to be used to develop their model further / to be shared among their team members as they see fit.
- Each semifinalist team will be provided with:
- A max $6,000 reimbursement for team transportation to the HITB+CyberWeek conference held in Abu Dhabi, UAE, on October 12-17, 2019.
- Hotel accommodation for 4 nights / 5 days (shared) booked by HITB.
- Complimentary access to HITB+ CyberWeek conference and activities.