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Design of a Cloud Based Intrusion Detection System Model, using Back Propagation Network Based on Particle Swarm Optimization

Design of a Cloud Based Intrusion Detection System Model, using Back Propagation Network Based on Particle Swarm Optimization

Starting at: Rs.5,500.00

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Design of a Cloud Based Intrusion Detection System Model, using Back Propagation Network Based on Particle Swarm Optimization

the IDPS uses a local computational grid to detect malicious behaviors in a real-time manner. In this paper, the system proposes a security system, named the Intrusion Detection and Protection System (IDPS for short) at system call level, which creates personal profiles for users to keep track of their usage habits as the forensic features. The proposed work is regarded with Digital foren sics technique and intrusion detection mechanism. The number of hacking and intrusion incidents is increasing alarmingly each year as new technology rolls out. In this project, the system designed Intrusion Detection System (IDS) that implements predefined algorithms for identifying the attacks over a network. Therefore, in this project, a security system, named the Internal Intrusion Detection and Protection System (IIDPS), is proposed to detect insider attacks at SC level by using data mining and forensic techniques. The system can identify a userís forensic features by analyzing the corresponding SCs to enhance the accuracy of attack detection, and able to port the IIDPS to a parallel system to further shorten its detection response time in this project.



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  • Model: PROJ7696
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Wednesday 09 August, 2017.

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