Tracking Internet Hosts Using Unreliable IDs
- Fang Yu and Yinglian Xie
Today’s Internet is open and anonymous. While it permits free traffic from any host, attackers that generate malicious traffic typically cannot be held accountable. We will present a system that tracks dynamic bindings between hosts and IP addresses by leveraging application-level data with unreliable IDs. Using a month-long Hotmail user-login trace, we show that this system can attribute most of the activities reliably to the responsible hosts, despite the existence of dynamic IP addresses, proxies, and NATs. With this information, we are able to analyze the host population, to conduct forensic analysis, and to blacklist malicious hosts dynamically.
-
-
Fang Yu
-
Jeff Running
-
Yinglian Xie
-
-
Watch Next
-
Session: Compute & Trust (Systems)
- Ashish Panwar,
- Aditya Desai,
- Abhilash Jindal
-
Multimodal & Embodied Intelligence (S1), Panel on Multimodal AI: Progress, Pitfalls, Possibilities
- Madhava Krishna,
- Sriram Ganapathy,
- Somak Aditya
-
Session on Compute & Trust (Security)
- Krishna Pillutla,
- Danish Pruthi
-
Session on Reasoning
- Hongxiang Fan,
- Nagarajan Natarajan
-
Session on Retrieval
- Lokesh Nagalapatti,
- Soumen Chakrabarti
-
Session on Inclusive AI: Data, Models, Evaluation
- Niloy Ganguly,
- Danish Pruthi,
- Sunayana Sitaram
-
-
-
-