DocumentCode
2225397
Title
Efficient detection of malicious nodes based on DNS and statistical methods
Author
Marko, Peter ; Vilhan, Peter
Author_Institution
Fac. of Inf. & Inf. Technol, Slovak Univ. of Technol., Bratislava, Slovakia
fYear
2012
fDate
26-28 Jan. 2012
Firstpage
227
Lastpage
230
Abstract
The power and flexibility of botnets is rising together with increasing the computational power of personal computers and growing network bandwidth. This implies extreme demands on ISP´s security resources in contrast to minimizing the delay and maximizing the throughput of the network. The main contribution of our approach is ability to detect botnet´s nodes in LAN using resource friendly solution. This brings high efficiency into the dealing with malicious host´s activity. The proposed solution can be transparently integrated into existing security infrastructure even on legacy hardware.
Keywords
computer network security; local area networks; microcomputers; resource allocation; statistical analysis; DNS; ISP security resources; LAN; botnet node detection; computational power; delay minimization; legacy hardware; malicious host activity; malicious node detection; network bandwidth; personal computers; resource friendly solution; security infrastructure; statistical method; throughput maximization; Algorithm design and analysis; Computers; IP networks; Local area networks; Registers; Security; Servers;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Machine Intelligence and Informatics (SAMI), 2012 IEEE 10th International Symposium on
Conference_Location
Herl´any
Print_ISBN
978-1-4577-0196-2
Type
conf
DOI
10.1109/SAMI.2012.6208963
Filename
6208963
Link To Document