Anonymity technologies have gained more and more attention for communication privacy. In general, users obtain anonymity at a certain cost in an anonymous communication system, which uses rerouting to increase the system’s robustness. However, a long rerouting path incurs large overhead and decreases the quality of service (QoS). In this paper, we propose the Scalar Anonymity System (SAS) in or...

In multiagent systems, agents might interfere with each other as a side-effect of their activities. One approach to coordinating these agents is to restrict their activities by means of social norms whose violation results in sanctions to violating agents. We formalize a normative system within a stochastic environment and norm enforcement follows a stochastic model in which stricter enforcemen...

In this work, we propose APLASIA, an holistic architecture with a radical design. Aiming at simplifying the inner network devices (and so their cost), we tradeoff node architectureand algorithmic-complexity for an increased (but tunable) communication cost. The main ingredients of our recipe are (i) the use of complete paths directly in the frames header, that allows core devices to perform dat...

The current paper addresses the distributed guaranteed-cost synchronization problems for general high-order linear multiagent networks. Existing works on the guaranteedcost synchronization usually require all state information of neighboring agents and cannot give the cost budget previously. For both leaderless and leader-following interaction topologies, the current paper firstly proposes a dy...

Mutation testing tasks are expensive in time and resources. Different cost reduction methods were developed to cope with this problem. In this chapter experimental evaluation of mutation clustering is presented. The approach was applied for object-oriented and standard mutation testing of C# programs. The quality metric was used to compare different solutions. It calculates a tradeoff between m...

Heterogeneous clustered sensor networks (HCSNs) help meet the cost, lifetime, and scalability requirements of real applications. However, the security solution should be reconsidered for their unique properties, such as uneven resources and innetwork processing. In this paper, we provide a resource oriented security solution (ROSS) to protect the network connectivity of HCSNs. ROSS is a robust ...

For the multi-attribute tradeoff optimization of critical chain multi-project scheduling (CCMPS), multi-attribute utility function was adopted to conduct comprehensive optimization of time, cost, quality, robustness and the optimization model was established. Using randomness and stability of Normal Cloud Model, cloud genetic algorithm was designed to generate priority of multi-project scheduli...

The popularity that certain applications such as mobile telephony or mp3 audio reproduction have gained lately, has made it possible the increase in the number and complexity of embedded systems. Depending on the tradeoffs performance/flexibility/cost, several architectures that range from ASIPs to fullcustom computing machines, based on reconfigurable logic, are being used. Here, what we propo...

Video can be used to provide a record of a theatre performance, with subsequent annotation being used to enhance the record and understand the video contents. The aim of our work is to produce a record of the threedimensional (3D) performance recorded in the video or videos. The concept of performance is, of course, a multifaceted term, and our initial work concentrates on labelling the movemen...

We study the problem of learning classifiers with a fairness constraint, with three main contributions towards the goal of quantifying the problem’s inherent tradeoffs. First, we relate two existing fairness measures to cost-sensitive risks. Second, we show that for cost-sensitive classification and fairness measures, the optimal classifier is an instance-dependent thresholding of the class-pro...