Name
Title | ||
|---|---|---|
Compression Analytics for Classification and Anomaly Detection within Network Communication |
Abstract | ||
|---|---|---|
The flexibility of network communication within Internet protocols is fundamental to network function, yet this same flexibility permits the possibility of malicious use. In particular, malicious behavior can masquerade as benign traffic, thus evading systems designed to catch misuse of network resources. However, perfect imitation of benign traffic is difficult, meaning that small unintentional d... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIFS.2018.2878172 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Protocols,Compression algorithms,Anomaly detection,Data models,Analytical models,Feature extraction,Entropy | Anomaly detection,Data mining,Internet Protocol,Data modeling,Pattern recognition,Computer science,A priori and a posteriori,Data type,Artificial intelligence,Statistical classification,Analytics,Data compression | Journal |
Volume | Issue | ISSN |
14 | 5 | 1556-6013 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| JChristina Ting | 1 | 2 | 0.37 |
| Richard V. Field Jr. | 2 | 4 | 1.47 |
| Andrew N Fisher | 3 | 2 | 0.71 |
| Travis L. Bauer | 4 | 9 | 3.95 |