Abstract: In traditional networks, the threats owing to cyber-attacks, Trojans/ viruses, botnet based attacks, DoS/DDoS attacks etc. have posed challenges to the networks around the globe. In SDN scenario, decoupling of control and data planes along with the programmability of control plane have brought flexibility in contrast to existing ossified networks. Most of the limiting factors of traditional networks can effectively be addressed through a relatively new networking paradigm i.e. Software Defined Networks (SDN). The programmability feature of SDN presents opportunities to shape the future networking. However, while proposing new architecture for SDN, security aspects must be given due attention. In this paper, the authors present a snapshot of the existing status of security aspects of SDN and also highlight the issues that are yet to be addressed.

• Publication Date: 11-Dec-2015
• DOI: 10.15224/978-1-63248-077-4-07
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Abstract: This paper presents a smoothing data association algorithm for a single target tracking in clutter. The proposed algorithm fuses the forward estimates and all the available measurement information retrodictions (but not backward track estimates) within the smoothing window to obtain the smoothed estimates. The measurement information retrodictions are obtained using the one-step-backward information filter propagation for fast calculation. The simulation studies show that the proposed algorithm improves the false track discrimination performance with similar root mean squared errors as the existing smoothing integrated probabilistic data association algorithm.

• Publication Date: 11-Dec-2015
• DOI: 10.15224/978-1-63248-077-4-08
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