Name
Abstract | ||
|---|---|---|
This paper presents a system named SPOT to achieve high accuracy and preemptive detection of attacks. We use security logs of real-incidents that occurred over a six-year period at National Center for Supercomputing Applications (NCSA) to evaluate SPOT. Our data consists of attacks that led directly to the target system being compromised, i.e., not detected in advance, either by the security analysts or by intrusion detection systems. Our approach can detect 75 percent of attacks as early as minutes to tens of hours before attack payloads are executed. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2600176.2600197 | HotSoS |
Keywords | Field | DocType |
security and protection,factor graph,cyber-system,tagging,graphical model,credential stealing attack,security incident,timeliness | Factor graph,Host-based intrusion detection system,Supercomputer,Computer security,Computer science,Intrusion prevention system,Graphical model,Intrusion detection system,Payload | Conference |
Citations | PageRank | References |
2 | 0.42 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Phuong Cao | 1 | 33 | 4.90 |
| Key-whan Chung | 2 | 9 | 2.62 |
| Zbigniew Kalbarczyk | 3 | 1896 | 159.48 |
| Ravishankar K. Iyer | 4 | 3489 | 504.32 |
| Adam J. Slagell | 5 | 39 | 5.85 |