A new discipline at the intersection of the development and operation of software systems known as DevOps has seen significant growth recently. Among the wide range of tasks of DevOps professionals, we focus on that of selecting appropriate cloud deployments for distributed applications. Despite the advent of automated software deployment and management frameworks, reasoning about good deployments still requires interaction with experts, often through discussions on online technical forums and social networks. Current social networking technologies offer basic ways to communicate. Within the DevOps community, communication on application structure and cloud deployment tradeoffs could become more effective by using knowledge present in global community-sourced information repositories. In this paper we argue for the benefits of tapping into such knowledge and for seamlessly feeding it back into the social networking platform. The social networking platform presented in this paper integrates social networking with automated deployment of applications on multi-clouds and with knowledge drawn from community-sourced information repositories. The implementation leverages two such repositories, the PaaSage repository and Chef Supermarket. Our user evaluation experiments demonstrate the value created for DevOps professionals.

As the popularity of Internet-connected devices for residential use increases, it is important to ensure that they meet appropriate security goals, given that they interact with the physical world through sensors and actuators. Zigbee is a wireless communication protocol that is commonly used in smart home environments, which builds on top of the IEEE 802.15.4 standard. In this work we present a security analysis tool, called Zigator, that enables in-depth study of Zigbee networks. In particular, we study the security consequences of the design choice to disable MAC-layer security in centralized Zigbee networks. We show that valuable information can be gained from passive inspection of Zigbee traffic, including the identification of certain encrypted NWK commands, which we then use to develop selective jamming and spoofing attacks. An attacker may launch these attacks in order to force the end user to factory reset targeted devices and eventually expose the network key. We validated our attacks by setting up a testbed, using open-source tools, that incorporates commercial Zigbee devices. Finally, we publicly release the software tools that we developed and the Zigbee packets that we captured, to contribute back to the research community. CCS CONCEPTS • Security and privacy → Mobile and wireless security; • Networks → Mobile and wireless security; Home networks; Mobile ad hoc networks; Sensor networks.

Abstract-It has been observed that opportunistic networks exhibit a highly unbalanced traffic load distribution, mainly because of the heterogeneity in mobility and the greedy routing decisions, leading to packet drops due to storage constraints. The existing strategies rely either on fairness techniques or on diverting traffic to alternative routes in order to control congestion. The result is a dilemma between performance and fairness. In this work, we introduce a congestion control mechanism that provides a tunable trade-off between efficiency and fairness. We rely on the social preferences of the nodes for dynamically tuning the aforementioned trade-off. Our simulations show that the proposed algorithm achieves high delivery ratio, combined with low endto-end delay and routing cost, without sacrificing fairness under high traffic load.

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