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DEVELOPMENT OF AN IMPROVED INTRUSION DETECTION BASED SECURED ROBUST HEADER COMPRESSION TECHNIQUE


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📄 Pages: 94       🧠 Words: 12923       📚 Chapters: 5 🗂️️ For: PROJECT

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ABSTRACT
This research presents thedevelopment of an improved Intrusion Detection based Secured RObust Header Compression (IDSROHC)techniquefor handling brute force attack. The secured RObust Header Compression (secured ROHC) was developed to secure Internet Protocol version six (IPv6) packets against false initial refresh attack by encrypting the cyclic redundancy check field. However, the secured ROHC exposes the network to brute force attack due to the short field length of the cyclic redundancy check .An improved IDSROHC technique was developed using a modified selective watchdog intrusion detection algorithm. Weighted network graph and random way point model with pause time greater than simulation time was used to model the distribution of total of forty nodes. The nodes were randomly distributed within an area of 100 by 100 meters. Bellman-Ford algorithm was used to determine the shortest path of packets transmission. Poisson traffic model was used to model the payload size and processing time of packets. The interpretation interval, packet loss and average compression length of packets were calculated using the header compression model. Cyclic redundancy check field of packets was modelled and encrypted using symmetric block cipher. Brute force attack was modeled using a pseudorandom generator. A MATLAB graphical user interface was designed to aid presentation. An intrusion detection system based on selective watchdog technique was used to inspect trial packet with the aim of identifying malicious link. IDSROHC was validated via comparison with the Secured ROHC using throughput and packet delivery success. The results of this work showed that IDSROHC produced 4.97% improvement in throughput and 29% improvement in packet delivery success over secured ROHC.

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📄 Pages: 94       🧠 Words: 12923       📚 Chapters: 5 🗂️️ For: PROJECT

👁️‍🗨️️️ Views: 400      

⬇️ Download (Complete Report) Now!

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