Securing workloads and information flow against misconfiguration in container-based clusters and edge medical devices is an important part of overall system security. This paper presented a controller that analyzes the misconfiguration, maps the observation to its hidden misconfiguration type, and selects the optimal recovery policy to maximize the performance of defined metrics. In the future, we ...

In this paper we argue that the traditional model of a mobile agent provides a poor programming structure. We base our argument on our experience since 1993 in building distributed applications and mobile agent platforms. We have observed that every distributed applications contain three distinct aspects, which we call function, mobility and management. Separating an application into these three ...

The number of personal computers we use every day has increased significantly the last couple of years, where the common model is a setup where each device has its own storage with separate files and applications. This forces the user to think in a certain way about files and applications, where they are to a degree bound to a device unless the user specifically moves the files, or installs/uninstalls ...

Learning to dehaze single hazy images, especially using a small training dataset is quite challenging. We propose a novel generative adversarial network architecture for this problem, namely back projected pyramid network (BPPNet), that gives good performance for a variety of challenging haze conditions, including dense haze and inhomogeneous haze. Our architecture incorporates learning of multiple ...

Existing networked filesystems are usually either client/server - allowing storage only on one node - hard to use, or both. The advanced ones also like to use their own on-disk format, complicating migration both ways. Skynet attempts to remedy this. It is a distributed filesystem with master/slave redundancy that is easy to use, relatively safe for your data and can be easily converted to/from ...

Explorative data visualization is a widespread tool for gaining insights from datasets. Investigating data in linked visualizations lets users explore potential relationships in their data at will. Furthermore, this type of analysis does not require any technical knowledge, widening the userbase from developers to anyone. Implementing explorative data visualizations in web browsers makes data analysis ...

Energy as a service (EaaS) is an emerging business model that enables the otherwise passive energy consumers to play an active role and participate in the energy utility services. This platform is formed through smart contracts registering peer-to-peer (P2P) transactions of energy through price and quantity. Many industries, including finance, have already leveraged smart contracts to introduce ...

Secure multiparty computation (SMC) is a technique that allows multiple parties to jointly compute a function while keeping their inputs private. This technique has gained significant attention due to its potential applications in various fields, including privacy-preserving healthcare, politics and finance. SMC involves a set of protocols that enable parties to achieve secure computation and ...

Automated feature extraction from program source-code such that proper computing resources could be allocated to the program is very difficult given the current state of technology. Therefore, conventional methods call for skilled human intervention in order to achieve the task of feature extraction from programs. This research is the first to propose a novel human-inspired approach to automatically ...

Authentication in Distributed Systems: Theory and Practice provides considerable insight. However, it can be hard to read, as many details are left out, probably for brevity; it is still 45 pages long. We provide detailed explanations of tricky points.