Mohammed GH. I. Al Zamil

Mohammed GH. I. AL Zamil

Recent advances in smart cities applications enforce security threads such as node replication attacks. Such attack is take place when the attacker plants a replicated network node within the network. Vehicular Ad hoc networks are connecting sensors that have limited resources and required the response time to be as low as possible. In this type networks, traditional detection algorithms of node replication attacks are not efficient. In this paper, we propose an initial idea to apply a newly adapted statistical methodology that can detect node replication attacks with high performance as compared to state-of-the-art techniques. We provide a sufficient description of this methodology and a road-map for testing and experiment its performance.

Maher Abdullah, Mohammed GH. I. Al Zamil

Large amount of unstructured designed information is difficult to deal with. Obtaining specific information is a hard mission and takes a lot of time. Information Retrieval System (IR) is a way to solve this kind of problem. IR is a good mechanism but does not give the perfect solution. Other techniques have been added to IR to develop the result. One of the techniques is text classification. Text classification task is to assign a document to one or more category. It could be done manually or algorithmically. Text classification enhances the output of this process by reducing the results. This study proved that text classification has a positive influence on Information Retrieval Systems.