The active operational environment of Mobile Ad hoc NETwork (MANET) makes it exposed to a variety of network attacks. Thus reducing the vulnerability is becoming a top priority. Wireless networks are susceptible to many attacks, including an attack known as the wormhole attack, has become a challenging work. The wormhole attack is very powerful and preventing this attack has proven to be very difficult. This paper addresses the aforementioned gap by introducing a new cooperative , relative approach, based on Reference Broadcast System (RBS). To improve network scalability and throughput, we propose the concept of the relative velocity between sender & the receiver node of the MANET. So that our proposed scheme has three mechanisms namely, AODV (Ad hoc on demand distance vector protocol) for routing, Principle of RBS for threshold setting and ACK, for reliability of communication, are combined to detect wormhole attacks in ad hoc networks.

Sequential rule mining is an important data mining task with wide applications. The current algorithms for discovering sequential rules common to several sequences use very restrictive definitions of sequential rules. Among various data mining objectives the mining of frequent patterns has been the focus of knowledge discovery in databases. In this paper, we aim to investigate efficient algorithm for mining including association rule and sequential patterns. The time and space consumption of proposed algorithm will be lesser in comparison to previous algorithm.From the broad variety of efficient algorithm that has been developed we will compare the most important ones. We will analyze the performance of various algorithms on the basis of both their run time performance and theoretical considerations. We use pattern growth approach for discovering valid rules such that it can be much more efficient and scalable.

The problem of predicting a user’s behavior on a web site has gained Importance due to the very increases required web network. It also compulsory for market and research of social behavior. Although many approaches are comes and many will should come, however they all are important at their different different view. Even I (Author, himself), suggests a physical approach to measure web traffic, results in paper titled “The Web Page Prediction by TRP Machine” , however I want to proposed an algorithm for it, which is not physically but logically measures the web traffic at all. Results as “Customized Page Rank algorithm” from simple Page Rank algorithm. Because simple Buddy Prima algorithm gives results after complicated calculations, instead it the novel approach creates less calculations and more clear and precise results as we want. The “Customized Buddy Prima algorithm” is based on the Markov Model with its chain in Forward reasoning [Research Paper on Forward Reasoning in Hierarchical representation , by me, (Author himself)], with the help of Apriori algorithm, Division algorithm, Association rule, page rank algorithm, Eigen vector calculations, modified Adjacency matrix, and many more calculations as tools. The suggested method is very proper as the result point of view, as it gives more proper results as shown by comparison of both two approaches as traditional one and the modified as well.