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Titre : Detecting and Mitigating the New Generations of Scraping Bots
Date : 7 novembre 2023
Heure: 09:00
Résumé : Nowadays, web domains face challenges due to a significant amount of traffic caused by scraping requests. To safeguard themselves, these websites employ detection mechanisms that rely on easily to manipulate client-side parameters. As a result, when the bots encounter mitigation measures, the actors behind them simply modify the parameters and send new requests. This situation highlights the need for new approaches that can effectively detect and mitigate scraping connections, surpassing the existing limitations. This thesis progresses in this direction by introducing novel techniques. We propose a new mitigation approach leveraging a web app honeypot. We present two innovative methods based on network measurement that are designed to identify the most sophisticated scrapers, those utilizing Residential IP Proxies (RESIP). Furthermore, we delve into the internal algorithms employed by RESIP providers and propose a new technique for geolocating the actors leveraging RESIPs.
Lieu : EURECOM