http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103297433-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L29-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L12-26 |
| filingDate | 2013-05-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2016-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2016-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-103297433-B |
| titleOfInvention | The HTTP Botnet detection method of data flow Network Based and system |
| abstract | The invention provides a kind of data flow Network Based, unknown HTTP Botnet method can be detected.The http communication data flow of the method to main frame is extracted, and by X-means clustering method, judges zombie host and it is carried out to the division of type in conjunction with Botnet communication feature similitude.The advantage of the method comprises: the target that can detect unknown HTTP Botnet, zombie host potential in energy Timeliness coverage specified network; Enhance the efficiency of cluster and detection, there is the characteristic of low rate of false alarm and rate of failing to report. |
| priorityDate | 2013-05-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID414885174 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID19076 |
Total number of triples: 12.