International Journal of Computer Networks and Applications

1-10

Authors: A. Anuba Merlyn, A. Anuja Merlyn

A Wireless Sensor Network (WSN) has sensor nodes which highly scalable and limited storage capability nodes. In the network, the nodes are in distributed manner and autonomous devices. The sensor node can communicate the information directly or indirectly. In WSN, the packets should be routed from source to destination within the limited power storage. The sensor nodes of WSN are highly mobile and based on the dynamic scenarios in the routing path and the network topology change frequently. A node in the routing path should be aware of the information regarding the nearest node. In traditional routing protocols, every node in the network exchanges periodic one-hop beacons. Beacons are short messages send periodically to indicate the neighbor nodes about their identification and position in the network. In the existing approach, some problems may occur during the data forwarding. Hence to overcome those problems Energy Efficient Routing (EER) approach is proposed in this paper. In the proposed modelling, the new algorithm named Discrete Delay Function (DDF) is introduced. In that algorithm, RTS/CTS message handshaking mechanism is used for data forwarding. By using this mechanism, the existing approaches’ limitations can be reduced. Simulation results show that EER scheme significantly outperforms existing protocols in wireless sensor networks with highly dynamic network topologies.

15-25

Authors: Tamer Hossam Eldin Helmy, Mohamed zaki Abd-ElMegied, Tarek S. Sobh, Khaled Mahmoud Shafea Badran

Money laundering is a global problem that affects all countries to various degrees. Although, many countries take benefits from money laundering, by accepting the money from laundering but keeping the crime abroad, at the long run, “money laundering attracts crime”. Criminals come to know a country, create networks and eventually also locate their criminal activities there. Most financial institutions have been implementing anti-money laundering solutions (AML) to fight investment fraud. The key pillar of a strong Anti-Money Laundering system for any financial institution depends mainly on a well-designed and effective monitoring system. The main purpose of the Anti-Money Laundering transactions monitoring system is to identify potential suspicious behaviors embedded in legitimate transactions. This paper presents a monitor framework that uses various techniques to enhance the monitoring capabilities. This framework is depending on rule base monitoring, behavior detection monitoring, cluster monitoring and link analysis based monitoring. The monitor detection processes are based on a money laundering deterministic finite automaton that has been obtained from their corresponding regular expressions.

33-39

Authors: Ravi Shankar P, Santosh Naidu P

Optimizing the internet traffic is always an important research issue in the field of network traffic classification, although various approaches available for minimizing the traffic over heads during the network traffic, they are not optimal. In this paper we are proposing an optimized classification approach for internet traffic by analyzing the behavior of the nodes for allowing or dis connection of the incoming node by computing the posterior probabilities of the factors with respect to the node.