recently, peer-to-peer (p2p) networks contribute to a large fraction of the internet backbone traffic. consequently, misusing such networks for malicious purposes is a potential side effect. in this review article, we investigate different techniques of misusing p2p overlay networks to launch large-scale next-generation distributed denial of service (ddos) attacks. in particular, we investigate...

The use of mobile sensor networks for multi-target tracking is an active research field. This paper describes the application of a novel two-layer relaxation for high-level control and coordination of UAVs to optimally track a set of moving targets considering a limited resources scenario. Using a singlebest tracking criterion, the scheme deploys distributed algorithms constrained to ensure ful...

This paper describes Knowledge Management for Distributed-Tracking (KMDT), which is an ongoing research and development project to explore methods to improve military functions in the battle space, such as command, control, and decision support. It features a hypothetical use-case scenario that shows how knowledge-management technologies, such as ontologies and intelligent agents, can be used t...

This paper describes a Functionally-Distributed (FD) hand tracking method for hand-gesture-based wearable visual interfaces. The method is an extension of the Distributed Monte Carlo (DMC) tracking method which we have developed. The method provides coarse but rapid hand tracking results with the lowest possible number of samples on the wearable side, and can reduce latency which causes a decli...

Cooperative regulation of multiagent systems has become an active research area in the past decade. This paper reviews some recent progress in distributed coordination control for leader-following multiagent systems and its applications in power system and mainly focuses on the cooperative tracking control in terms of consensus tracking control and containment tracking control. Next, methods on...

In this paper, we discuss a Distributed Monte Carlo (DMC) tracking method which achieves real-time and accurate face tracking for wearable active vision systems. The DMC is an extension of sequential Monte Carlo approaches to a client-server distributed architecture. The client feeds back the results of tracking for use in the control of the wearable active camera with minimal delay, and the se...

Target tracking in bearings-only sensor networks (BOSNs) has obtained distinct interest in the last decade. In this situation, the scalability of the tracking algorithm and robustness against network topologies due to moving platform or node/communication fault are two important issues. This motivates the present work on distributed bearings-only tracking in switching BOSNs adopting consensus-b...

The use of mobile sensor networks for multi-target tracking is an active research field. This thesis describes the application of a novel two-layer relaxation for high-level control and coordination of UAVs to optimally track a set of moving targets considering a limited resources scenario. Using a single-best tracking criterion, the scheme deploys distributed algorithms constrained to ensure f...

Many recent works have addressed target tracking problem in wireless sensor networks. However, these methods rely on the assumptions of probabilistic models of the system noise and measurement noise. In this paper, we propose a distributed cost-reference particle filters (DCRPF) for target tracking in wireless sensor networks. The information of the noise statistics is not required and the nois...

technologies. Our solution, which has been developed in a joint collaboration between NTT DoCoMo and DoCoMo Communications Laboratories Europe GmbH, covers two aspects of tracking in a hierarchical architecture: local and global tracking, leading to high scalability and cost efficiency compared to conventional, centralized solutions. For tracking services in local areas, e.g., tracking children...