The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 42-224
Full Name: Gagandeep Kaur
Position: Senior Lecturer
Age: ON
Sex: Female
Address: A-10,Jaypee Institute of Information Technology,Deptt of Computer Science & IT,Sector 62,Noida
Country: INDIA
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Tel prefix:
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E-mail address: gagan_punia@rediffmail.com
Other E-mails: gagandeep.kaur@jiit.ac.in
Title of the Paper: Statistical Anomaly Detection in Network Traffic and Role of Wavelets: A Survey
Authors as they appear in the Paper: Gagandeep Kaur,Vikas Saxena
Email addresses of all the authors: gagan_punia@rediffmail.com,vikas.saxena@jiit.ac.in
Number of paper pages: 14
Abstract: Network Anomaly Detection covers wide area of research. Current best practices for identifying and diagnosing traffic anomalies consist of visualizing traffic from different perspectives and identifying anomalies from prior experience. Different tools have been developed to automatically generate alerts to failures, but to automate the anomaly identification process remains a challenge. Recently, Signal Processing techniques have found applications in Network Intrusion Detection System because of their ability of detecting novel intrusions and attacks, which cannot be achieved by signature-based detection systems. Visualization techniques are ways of creating and handling graphical representations of data. This survey explains the main techniques known in the field of Statistical based and Wavelet based anomaly detection approaches and focuses on the role of data traffic visualization tools in network traffic anomaly detection.
Keywords: Anomaly detection; Statistical techniques; Wavelet based approaches; Visualization tools
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Sanjay Kataria, A-10,Jaypee Institute of Information Technology,Learning Resource Center,Sector 62,Noida,sanjay.kataria@jiit.ac.in
IP ADDRESS: 115.240.37.68
