About Marc Dacier Marc Dacier Professor, Computer Science network security cybersecurity threat intelligence fraud detection intrusion tolerance intrusion detection Leveraging 20+ years of international experience, Professor Dacier leads the charge in uncovering internet vulnerabilities and developing robust defenses, building a more secure digital future for all. Events Presented Events Mar 2 - Mar 8, 2025 Gaming (in)security Marc Dacier, Professor, Computer Science Mar 3, 12:00 - 13:00 B9, L2, R2325 In this talk, I will present some of our ongoing research to address cheating techniques within online games. Oct 1 - Oct 7, 2023 Network Security, Internet Measurement and Threat Intelligence Marc Dacier, Professor, Computer Science Oct 2, 11:30 - 12:30 B9 L2 H2 H2 network security threat intelligence internet measurement In this talk, we will show how, through a large scale Internet measurement campaign, we have been able to experimentally validate a novel technique to automatically detect malicious webscrapers bots taking advantage of so called Residential IP proxy providers. That technique has then been deployed in a real world environment and enabled us, thanks to a novel geolocalization technique, to identify malicious actors hiding behind these infrastructures, leading to actionable threat intelligence for the victims. Sep 11 - Sep 17, 2022 Defeating the attacks from bots scrapers hiding behind residential proxy IPs Marc Dacier, Professor, Computer Science Sep 12, 12:00 - 13:00 B9 L2 R2322 H1 operational security resilient computing This talks presents a very serious emerging threat: the bots scraping web sites and hiding their IPs thanks to residential IP providers. The problem, state of the art and a new solution will be explained.
Gaming (in)security Marc Dacier, Professor, Computer Science Mar 3, 12:00 - 13:00 B9, L2, R2325 In this talk, I will present some of our ongoing research to address cheating techniques within online games.
Network Security, Internet Measurement and Threat Intelligence Marc Dacier, Professor, Computer Science Oct 2, 11:30 - 12:30 B9 L2 H2 H2 network security threat intelligence internet measurement In this talk, we will show how, through a large scale Internet measurement campaign, we have been able to experimentally validate a novel technique to automatically detect malicious webscrapers bots taking advantage of so called Residential IP proxy providers. That technique has then been deployed in a real world environment and enabled us, thanks to a novel geolocalization technique, to identify malicious actors hiding behind these infrastructures, leading to actionable threat intelligence for the victims.
Defeating the attacks from bots scrapers hiding behind residential proxy IPs Marc Dacier, Professor, Computer Science Sep 12, 12:00 - 13:00 B9 L2 R2322 H1 operational security resilient computing This talks presents a very serious emerging threat: the bots scraping web sites and hiding their IPs thanks to residential IP providers. The problem, state of the art and a new solution will be explained.
Engage ORCID KAUST Repository KAUST Academic Portal LinkedIn Scopus ShareClipboard Related Sites Computer Science (CS) Cyber Security and Resilience Community (CriSys) Security Research Bearing Experimental Results (SeRBER) Related Content Articles 4 Events 3 Related Links Marc Dacier on Google Scholar Researcher ID publons Network Security: Why It Does Matter (Prof. Marc Dacier) Security Challenges and Opportunities of Software-Defined Networking - Marc Dacier Network Security: The past is never dead; it’s not even past (Faulkner) - Marc Dacier - DSRC Seminar
