02-07-2010, 06:19 PM
[b]Monitoring the Application-Layer DDoS Attacks for Popular Websites.
Abstract:
Distributed denial of service (DDoS) attack is a continuous critical threat to the Internet. Derived from the low layers, new application-layer-based DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectable. The case may be more serious when such attacks mimic or occur during the flash crowd event of a popular Website. Focusing on the detection for such new DDoS attacks, a scheme based on document popularity is introduced. An Access Matrix is defined to capture the spatial-temporal patterns of a normal flash crowd. Principal component analysis and independent component analysis are applied to abstract the multidimensional Access Matrix.
Algorithm / Technique used:
Dynamics of Access Matrix.
Algorithm Description:
1) We define the Access Matrix (AM) to capture spatial-temporal patterns of normal flash crowd and to monitor App-DDoS attacks during flash crowd event.
2) We use hidden semi-Markov model (HsMM) to describe the dynamics of AM and to achieve a numerical and automatic detection.
3) We apply principal component analysis (PCA) and independent component analysis (ICA) to deal with the multidimensional data for HsMM. and
4) We design the monitoring architecture and validate it by real flash crowd traffic and three emulated App-DDoS attacks.
Proposed System:
A novel anomaly detector based on hidden semi-Markov model is proposed t[/b]o describe the dynamics of Access Matrix and to detect the attacks. The entropy of document popularity fitting to the model is used to detect the potential application-layer DDoS attacks. Numerical results based on real Web traffic data are presented to demonstrate the effectiveness of the proposed method.
:
Hardware Requirements
¢ SYSTEM : Pentium IV 2.4 GHz
¢ HARD DISK : 40 GB
¢ FLOPPY DRIVE : 1.44 MB
¢ MONITOR : 15 VGA colour
¢ MOUSE : Logitech.
¢ RAM : 256 MB
¢ KEYBOARD : 110 keys enhanced.
Software Requirements
¢ Operating system :- Windows XP Professional
¢ Front End :- Java Technology
read http://69.50.213.96:8080/javaabstracts/M...bsites.pdf to get full report of Monitoring the Application Layer-DDoS Attack for Popular Websites
Abstract:
Distributed denial of service (DDoS) attack is a continuous critical threat to the Internet. Derived from the low layers, new application-layer-based DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectable. The case may be more serious when such attacks mimic or occur during the flash crowd event of a popular Website. Focusing on the detection for such new DDoS attacks, a scheme based on document popularity is introduced. An Access Matrix is defined to capture the spatial-temporal patterns of a normal flash crowd. Principal component analysis and independent component analysis are applied to abstract the multidimensional Access Matrix.
Algorithm / Technique used:
Dynamics of Access Matrix.
Algorithm Description:
1) We define the Access Matrix (AM) to capture spatial-temporal patterns of normal flash crowd and to monitor App-DDoS attacks during flash crowd event.
2) We use hidden semi-Markov model (HsMM) to describe the dynamics of AM and to achieve a numerical and automatic detection.
3) We apply principal component analysis (PCA) and independent component analysis (ICA) to deal with the multidimensional data for HsMM. and
4) We design the monitoring architecture and validate it by real flash crowd traffic and three emulated App-DDoS attacks.
Proposed System:
A novel anomaly detector based on hidden semi-Markov model is proposed t[/b]o describe the dynamics of Access Matrix and to detect the attacks. The entropy of document popularity fitting to the model is used to detect the potential application-layer DDoS attacks. Numerical results based on real Web traffic data are presented to demonstrate the effectiveness of the proposed method.
:
Hardware Requirements
¢ SYSTEM : Pentium IV 2.4 GHz
¢ HARD DISK : 40 GB
¢ FLOPPY DRIVE : 1.44 MB
¢ MONITOR : 15 VGA colour
¢ MOUSE : Logitech.
¢ RAM : 256 MB
¢ KEYBOARD : 110 keys enhanced.
Software Requirements
¢ Operating system :- Windows XP Professional
¢ Front End :- Java Technology
read http://69.50.213.96:8080/javaabstracts/M...bsites.pdf to get full report of Monitoring the Application Layer-DDoS Attack for Popular Websites
