The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 29-286
Full Name: Hector Perez-Meana
Position: Professor
Age: ON
Sex: Male
Address: Instituto Politecnico Nacional Av. Santa Ana 1000 04430 Mexico DF
Country: MEXICO
Tel: 525556562058
Tel prefix: 52
Fax: 525556562058
E-mail address: hmpm@prodigy.net.mx
Other E-mails: hmperezm@ipn.mx
Title of the Paper: Neural network based attack detection algorithm
Authors as they appear in the Paper: Arceli Barradas-Acosta, Eleazar Aguirre-Anaya, Mariko Nakano-MIyatake, Hector Perez-Meana,
Email addresses of all the authors: hmperezm@ipn.mx,hmpm@prodigy.net.mx,mariko@infinitum.com.mx,eaa@calmecac.esimecu.ipn.mx
Number of paper pages: 11
Abstract: The influence of computer technology on the human activities has greatly increased during the last three decades, due to major developments in the VLSI technology. However this widespread use of computer equipments has generated computer a considerable increase of computer crimes. To reduce this problem it is necessary to carried out a network analysis using the computer network traffic. However the increase of network traffic is huge, doing the analysis of traffic data complicated. Thus it is required to develop an effective and automatic algorithm to carry out the traffic network analysis, facilitating I such way the expert forensic work. This paper proposes a network analysis algorithm using recurrent neural network that can analyze computer network attacks facilitating the evidence extraction. Proposed algorithm can reduce time and cost of forensic.
Keywords: Computer network, Forensic analysis, Recurrent neural network, Forensic, Network Attacks
EXTENSION of the file: .doc
Special (Invited) Session: Attacks Recognition Using Recurrent Neural Network
Organizer of the Session: 612-400
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