Title :
Parallel and distributed computing for cybersecurity
Author_Institution :
Comput. Sci. & Eng. Dept., Minnesota Univ., Minneapolis, MN, USA
fDate :
6/27/1905 12:00:00 AM
Abstract :
Parallel and distributed data mining offer great promise for addressing cybersecurity. The Minnesota Intrusion Detection System can detect sophisticated cyberattacks on large-scale networks that are hard to detect using signature-based systems.
Keywords :
Internet; data mining; parallel processing; security of data; Minnesota Intrusion Detection System; cybersecurity; data mining; distributed computing; large-scale networks; parallel computing; sophisticated cyberattacks; Application software; Computer networks; Computer security; Concurrent computing; Data mining; Data security; Distributed computing; Intrusion detection; Large-scale systems; Telecommunication traffic;
Journal_Title :
Distributed Systems Online, IEEE
DOI :
10.1109/MDSO.2005.53
