Abstract:An analysis of new technologies can yield insight into the way these technologies will be used. Inevitably, new technologies and their uses are likely to result in new security issues regarding threats, vulnerabilities and attack vectors. In this paper, we investigate and analyse technological and security trends and their potential to become future threats by systematically examining industry reports on existing technologies. Using a cloud computing use case we identify potential resilience metrics that can shed light on the security properties of the system.
In this paper, we propose a new, dual method for selfoptimization of a pervasive, DHT-based discovery service. This method addresses the topology mismatch problem. On one hand, it selects close neighbours based on static, readily available information (the IP addresses of the nodes) and thus does not require costly periodic probing of many nodes. On the other hand, it enables the overlay network to optimize its topology in run-time in a cost-effective manner. We prove the effectiveness of our method by statistical and experimental verification.
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