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Cloud computing security: Challenges & future trends

Cloud computing is one of the most trendy terminologies. Cloud providers aim to satisfy clients' requirements for computing resources such as services, applications, networks, storage and servers. They offer the possibility of leasing these resources rather than buying them. Many popular companies, such as Amazon, Google and Microsoft, began to enhance their services and apply the technology of

Software and Communications

On Board Evaluation System for Advanced Driver Assistance Systems

The evaluation of Advanced Driver Assistance Systems (ADAS including driver assistance and active safety) has increasing interest from authorities, industry and academia. AsPeCSS active safety project concludes that good results in a laboratory test for active safety system design does not necessarily equate to an effective system in real traffic conditions. Moreover, many ADAS assessment projects

Artificial Intelligence

Remote Diagnosis, Maintenance and Prognosis for Advanced Driver Assistance Systems Using Machine Learning Algorithms

New challenges and complexities are continuously increasing in advanced driver assistance systems (ADAS) development (e.g. active safety, driver assistant and autonomous vehicle systems). Therefore, the health management of ADAS’ components needs special improvements. Since software contribution in ADAS’ development is increasing significantly, remote diagnosis and maintenance for ADAS become more

Artificial Intelligence
Software and Communications

MDAC: A new reputation system for misbehavior detection and control in ad hoc networks

Reputation systems are an emerging area of research in ad-hoc networks. They have been introduced as a security solution for nodes' misbehaving problem. A reputation system should cope with any kind of misbehavior. It enables honest nodes to make fair decisions about their neighbors. This may encourage nodes to behave well and cooperate in order to avoid being penalized or isolated. In this paper

Software and Communications

Real-time scale-adaptive compressive tracking using two classification stages

In this paper, we describe a method for Scale-Adaptive visual tracking using compressive sensing. Instead of using scale-invariant-features to estimate the object size every few frames, we use the compressed features at different scale then perform a second stage of classification to detect the best-fit scale. We describe the proposed mechanism of how we implement the Bayesian Classifier used in

Artificial Intelligence
Software and Communications
Mechanical Design

New governance framework to secure cloud computing

Cloud computing is enabling proper, on-demand network access to a shared pool of computing resources that is elastic in reserve and release with minimal interaction from cloud service provider. As cloud gains maturity, cloud service providers are becoming more competitive, which increase the percentage of cloud adoption. But security remains the most cited challenge in Cloud. So, while we are

Software and Communications
Innovation, Entrepreneurship and Competitiveness

Traffisense: A smart integrated visual sensing system for traffic monitoring

Intelligent camera systems provide an effective solution for road traffic monitoring with traffic stream characteristics, such as volumes and densities, continuously computed and relayed to control stations. However, developing a functional vision-based traffic monitoring system is a complex task that entails the creation of appropriate visual sensing platforms with on-board visual analytics

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

A new cloud computing governance framework

Nowadays, most service providers adopt Cloud Computing technology. Moving to Cloud creates new risks and challenges. The Cloud era is to outsource our services to Cloud Service Provider (CSP). However, we have to develop a strong governance framework to review the service level, to manage risk effectively and to certify that our critical information is secure. In this paper, we develop an

Artificial Intelligence

Convergence study of IPv6 tunneling techniques

IPv4 address exhaustion pushed IETF to create IPv6, the improved substitute of IPv4. The Internet complexity and its enormous size prolong the transition from IPv4 to IPv6 process. This means that both versions will necessarily co-exist. Meanwhile, tunneling appears as a solution trend. The tunneling is a transition technique that is considered temporary till all ISPs would support IPv6. At this

Artificial Intelligence
Software and Communications

A time series classification approach for motion analysis using ensembles in Ubiquitous healthcare systems

Human motion analysis is a vital research area for healthcare systems. The increasing need for automated activity analysis inspired the design of low cost wireless sensors that can capture information under free living conditions. Body and Visual Sensor Networks can easily record human behavior within a home environment. In this paper we propose a multiple classifier system that uses time series

Artificial Intelligence
Healthcare