Feb. 5, 2024, 3:43 p.m. | Wolf Rieder Philip Raschke Thomas Cory

cs.LG updates on arXiv.org arxiv.org

The World Wide Web's connectivity is greatly attributed to the HTTP protocol, with HTTP messages offering informative header fields that appeal to disciplines like web security and privacy, especially concerning web tracking. Despite existing research employing HTTP/S request messages to identify web trackers, HTTP/S response headers are often overlooked. This study endeavors to design effective machine learning classifiers for web tracker detection using HTTP/S response headers. Data from the Chrome, Firefox, and Brave browsers, obtained through the traffic monitoring browser …

beyond browser classification connectivity cs.ai cs.cr cs.lg fields http identify messages privacy protocol research security security and privacy tracking web world world wide web

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

Sr. Data Operations

@ Carousell Group | West Jakarta, Indonesia

Senior Analyst, Business Intelligence & Reporting

@ Deutsche Bank | Bucharest

Business Intelligence Subject Matter Expert (SME) - Assistant Vice President

@ Deutsche Bank | Cary, 3000 CentreGreen Way

Enterprise Business Intelligence Specialist

@ NAIC | Kansas City

Senior Business Intelligence (BI) Developer - Associate

@ Deutsche Bank | Cary, 3000 CentreGreen Way