Widespread adoption of cloud computing has increased the attractiveness of such services to cybercriminals. Distributed denial of service (DDoS) attacks targeting the cloud's bandwidth, services and resources to render the cloud unavailable to both cloud providers, and users are a common form of attacks. In recent times, feature selection has been identified as a pre-processing phase in cloud DDoS attack defence which can potentially increase classification accuracy and reduce computational complexity by identifying important features from the original dataset during supervised learning. In this work, we propose an ensemble-based multi-filter feature selection method that combines the output of four filter methods to achieve an optimum selection. We then perform an extensive experimental evaluation of our proposed method using intrusion detection benchmark dataset, NSL-KDD and decision tree classifier. The findings show that our proposed method can effectively reduce the number of features from 41 to 13 and has a high detection rate and classification accuracy when compared to other classification techniques.
In the next generation wireless systems (NGWS) the end user will be able to connect to any of the different available access networks. The end user will also be able to roam seamlessly within the access networks through vertical handoffs. While these features of the NGWS are very advantageous for service providers as well as end users, technically they bring about many challenges to the joint call admission control (JCAC) algorithm. In addition to making decisions during new or handoff calls, the JCAC should perform load balancing among the different access networks. In this paper, we extend the hierarchical joint call admission control algorithm by proposing a scheme for load balancing. In the hierarchical approach, the work of the JCAC is divided into the algorithms horizontal call admission control (HCAC) and vertical call admission control (VCAC). A VCAC manages the inter-network admission of multiple access networks while in each access network there is an HCAC that controls its intra-network admission. In the proposed load balancing scheme, each HCAC in a heterogeneous environment periodically sends a load report to the VCAC. The VCAC makes a comparison of the load reports and makes a decision for load balancing.
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