Antoine Chaya's profile

Detecting Website Promotional Attacks Using SEISE

Oracle senior director Antoine Chaya earned both his MBA and PhD at the prestigious Georgia Institute of Technology. Antoine Chaya’s alma mater continuously produces ground-breaking research, including developing and using one new technique called Semantic Inconsistency Search (SEISE).

As recently reported by Georgia Tech, researchers have developed and used SEISE to find semantic inconsistencies in content which can identify promotional infections hidden in websites operated by educational and government entities. These infections utilize code planted in sites that are highly ranked to drive traffic to vague websites that install drive-by malware or offer things such as fake products, plagiarized term papers, or counterfeit drugs for sale.

The new technique uses natural language processing to identify the dissimilarities between the expected content in a given site and the detrimental advertising and promotional code. The researchers have identified 11,000 infected sites using SEISE. These websites are top-level sponsored non-commercial .mil, .gov, and .edu domains around the world. The researchers are working to expand the technique to include other domains.

The US National Science Foundation and Natural Science Foundation of China supported the research. SIESE was developed by researchers from Georgia Tech, Tsinghua University and Indiana University.
Detecting Website Promotional Attacks Using SEISE
Published:

Detecting Website Promotional Attacks Using SEISE

Oracle senior director Antoine Chaya earned both his MBA and PhD at the prestigious Georgia Institute of Technology. Antoine Chaya’s alma mater c Read More

Published: