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Management and Security for Grid, Cloud and Cognitive Networks

This paper presents a number of research initiatives related to innovative and cut-edge technologies for Cloud Computing. These are chiefly in the fields of (i) environment security, (ii) quality assurance, (iii) service composition, and (iv) system management. We present technologies for intrusion detection; a SLA perspective in security management; customer security concerns; a Cloud- based solution for eHealth; experimental assessment of routing for grid and cloud; simulator improvements to validate the green cloud computing approach, and; a framework to radio layer operation in cognitive networks. LOUD computing technology imposes novel challenges to service development and management. The inherent features of vastly distributed processing open environment, and multi-user/multi-functional solutions require innovative, cutting-edge system management technologies. In this paper, we present a number of research initiatives being conducted in our group related to these technologies, chiefly in the fields of (i) environment security, (ii) quality assurance, (iii) service composition, and (iv) system management. Our group has a long record of research on environmental security. In (1) we challenged the methods for Security of Input Validation in current Cloud-based Web Services, and propose a framework for new method of input validation. In (2), we dispute the efficiency of current Intrusion Detection Systems and present a novel intrusion detection method. Moreover, we demonstrate how the proposed method overcomes the current limitations through the detection of the typical attacks on host computers and networks. In addition, we present a solution where audit data is collected from the middleware and two intrusion detection techniques are applied (3). Our research in the field of quality assurance is exemplified by the description in (4), where we present our research on