TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Plohmann, Daniel
A1  - Gerhards-Padilla, Elmar
T1  - Malware and Botnet Analysis Methodology
JF  - ERCIM News
N2  - Malware is responsible for massive economic damage. Being the preferred tool for digital crime, botnets are becoming increasingly sophisticated, using more and more resilient, distributed infrastructures based on peer-to-peer (P2P) protocols. On the other side, current investigation techniques for malware and botnets on a technical level are time-consuming and highly complex. Fraunhofer FKIE is addressing this problem, researching new ways of intelligent process automation and information management for malware analysis in order to minimize the time needed to investigate these threats.
UR  - https://ercim-news.ercim.eu/en90/special/malware-and-botnet-analysis-methodology
SN  - 0926-4981
SS  - 0926-4981
IS  - 90
PB  - ERCIM EEIG
ER  -