Detecting Stepping Stones
By Yin Zhang, Vern Paxson. USENIX Security Symposium, 2000
468 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/f2c502394f90670c7d046c5287eedb8078473800
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Guofei Gu
- Wenke Lee
- Vinod Yegneswaran
- David Dagon
- Paul R. Barford
- Vyas Sekar
- George Danezis
- Steven J. Murdoch
Citations in the corpus
- Differentially-private network trace analysis (2010, background): “For instance, worm fingerprinting [27] (a packet-level analysis) requires raw packet payloads; stepping stone detection [33] (a flow-level analysis) requires addresses and ports in traffic flows; and anomaly detection [13] (a graph-level analysis) requires information on the amount of traffic at ind”
- A Taxonomy of Botnet Structures (2007, background): “Some researchers have already investigated zombie detection via stepping stone analysis, or the detection of messages being relayed through victim proxies [59].”
- Performance debugging for distributed systems of black boxes (2003, methodology): “[27] Y. Zhang and V. Paxson.”
- Internet intrusions: global characteristics and prevalence (2003, background): “Thus, analyzing source IPs of portscans can provide valuable insight into the geographic distribution of malicious host subnets or stepping stones [26].”
- Low-cost traffic analysis of Tor (2005, background): “Others have also looked at detecting stepping stones (relays) for intrusion detection [7] [41] .”
- SIMPLE-fying middlebox policy enforcement using SDN (2013, methodology): “We were inspired in part by the success of flow correlation techniques used in the security literature to detect stepping stones and information leakage [46].”