Matthias Chin (Cloudsine) – Using Deep Learning to Detect Web Defacement Hackings

Every year, more than 500,000 websites are defaced globally. Most web defacement detection technology checks for changes on the website to determine defacements. This leads to high false positives and requires manual human intervention to verify defacements. In this talk, we will share how we learn from >10 years of defacement data to train a unique deep learning model that can classify web changes as defacements.

Matthias Chin is a tech entrepreneur with >15yrs of experience in the IT industry. He is a Certified Cisco Internetwork Expert (CCIE) and holds various cyber security certifications such as CISSP, GCFA and GWAPT. His current startup Cloudsine has their own innovative and patented Enterprise SaaS software called WebOrion that is developed in Singapore and proudly used by many enterprises and government in APAC for protecting their websites against web defacements and other cyber threats.

Matthias loves to tinker with emerging technologies such as AI and blockchain and looks at ways to apply them in real world use cases. He also gives back to the community via his AI Security community group with div0.