Name
Abstract | ||
|---|---|---|
There are continuous hacking and social issues regarding APT (Advanced Persistent Threat - APT) attacks and a number of antivirus businesses and researchers are making efforts to analyze such APT attacks in order to prevent or cope with APT attacks, some host PC security technologies such as firewalls and intrusion detection systems are used. Therefore, in this study, malignant behavior patterns were extracted by using an API of PE files. Moreover, the FP-Growth Algorithm to extract behavior information generated in the host PC in order to overcome the limitation of the previous signature-based intrusion detection systems. We will utilize this study as fundamental research about a system that extracts malignant behavior patterns within networks and APIs in the future |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | APT Attack, Pattern Mining, FP-Growth Algorithm |
Field | DocType | ISSN |
Behavioral pattern,Advanced persistent threat,Computer science,Computer security,Algorithm,Computer network,Hacker,Malware,Intrusion detection system,Pattern matching | Conference | 2331-9852 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mungyu Lee | 1 | 0 | 0.34 |
| Junho Choi | 2 | 366 | 60.87 |
| Chang Choi | 3 | 261 | 39.04 |
| Pan-Koo Kim | 4 | 199 | 31.13 |