dc.date |
2014-05-30T18:24:27Z |
|
dc.date |
2014-05-30T18:24:27Z |
|
dc.date |
2014 |
|
dc.date.accessioned |
2022-05-19T00:34:56Z |
|
dc.date.available |
2022-05-19T00:34:56Z |
|
dc.identifier |
http://hdl.handle.net/10945/41747 |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/58369 |
|
dc.description |
"Botnets" are distributed collections of compromised networked machines under common control.
Botnets provide a formidable computing and communication platform by harnessing the power of
thousands, or even millions, of nodes for a common collective purpose. Unfortunately, that purpose
is often malicious and economically or politically motivated. This research investigates a unique
approach to detecting bots, botnet infrastructure, and mitigating abusive traffic via Transport-level
Traffic Analysis (TTA). |
|
dc.format |
application/pdf |
|
dc.format |
application/pdf |
|
dc.language |
en_US |
|
dc.publisher |
Monterey, California: Naval Postgraduate School. |
|
dc.title |
Transport Traffic Analysis |
|
dc.title |
Transport Traffic Analysis / cMAND Project |
|
dc.type |
Article |
|