Automatic generation of meta classifiers with large levels for distributed computing and networking

This paper is devoted to a case study of a new construction of classifiers. These classifiers are called automatically generated multi-level meta classifiers, AGMLMC. The construction combines diverse meta classifiers in a new way to create a unified system. This original construction can be generated automatically producing classifiers with large levels. Different meta classifiers are incorporated as low-level integral parts of another meta classifier at the top level. It is intended for the distributed computing and networking. The AGMLMC classifiers are unified classifiers with many parts that can operate in parallel. This make it easy to adopt them in distributed applications. This paper introduces new construction of classifiers and undertakes an experimental study of their performance. We look at a case study of their effectiveness in the special case of the detection and filtering of phishing emails. This is a possible important application area for such large and distributed classification systems. Our experiments investigate the effectiveness of combining diverse meta classifiers into one AGMLMC classifier in the case study of detection and filtering of phishing emails. The results show that new classifiers with large levels achieved better performance compared to the base classifiers and simple meta classifiers classifiers. This demonstrates that the new technique can be applied to increase the performance if diverse meta classifiers are included in the system

Secure and Reliable Routing Protocol for Transmission Data in Wireless Sensor Mesh Networks

Abstract Sensor nodes collect data from the physical world then exchange it until it reaches the intended destination. This information can be sensitive, such as battlefield surveillance. Therefore, providing secure and continuous data transmissions among sensor nodes in wireless network environments is crucial. Wireless sensor networks (WSN) have limited resources, limited computation capabilities, and the exchange of data through the air and deployment in accessible areas makes the energy, security, and routing major concerns in WSN. In this research we are looking at security issues for the above reasons. WSN is susceptible to malicious activities such as hacking and physical attacks. In general, security threats are classified depending on the layers. Physical, Transport, Network, Data link, and the Application layer. Sensor nodes can be placed in an unfriendly environments and it has lower power energy, computation and bandwidth, are exposed to a failure, and the WSN topology dynamically unstable. The recent wireless sensor protocols are intended for data communication transmission energy consumption. Therefore, many do not consider the security in WSN as much as they should and it might be vulnerable to attacks. Standard crypto systems methods aim to protect the authentication and integrity of data packets during the transmission stage between senders and receivers. In this dissertation we present Adel which is a novel routing protocol for exchanging data through wireless sensor mesh networks using Ant Colony Optimization (ACO) algorithm. Adel enhances security level during data transmission between sender party and receiver party in wireless network environment. Once the sensor nodes are deployed in a network, they need to inform their location and their data related to the security for the further communication in the network. For that purpose, ii an efficient mechanism is implemented in order to perform better communication among sensor nodes. Adel generates dynamic routing table using ACO algorithm with all the necessary information from network nodes after being deployed. Adel works with minimum routing restrictions and exploits the advantages of the three multicast routing styles, unicast, path, and mesh based. Since it takes a routing decision with a minimum number of nodes using the shortest path between the sender and the receiver nodes, Adel is applicable in static networks. Four essential performance metrics in mesh networks, network security analysis, network latency time, network packets drop, network delivery ratio, and network throughput are evaluated. Adel routing protocol has met the most important security requirements such as authorization, authentication, confidentiality, and integrity. It also grantees the absence of the cycle path problem in the network.This research reports the implementation and the performance of the proposed protocol using network simulator NS-2. The seven main parameters are considered for evaluation all experiments are security trust, packets drop, energy consumption, throughput, end to end delay and packet delivery ratio. The results show that the proposed system can significantly enhance the network security and connectivity level compared to other routing protocols. Yet, as expected, it did not do so well in energy consumption since our main goal was to provide higher level of security and connectivit