Network Digest analysis by means of association rules

The continuous growth in connection speed allows huge amounts of data to be transferred through a network. An important issue in this context is network traffic analysis to profile communications and detect security threats. Association rule extraction is a widely used exploratory technique which has been exploited in different contexts (e.g., network traffic characterization). However, to discover (potentially relevant) knowledge a very low support threshold needs to be enforced hence generating a large number of unmanageable rules. To address this issue in network traffic analysis, an efficient technique to reduce traffic volume is needed. This paper presents a NEtwork Digest framework, which performs network traffic analysis by means of data mining techniques to characterize traffic data and detect anomalies. NED exploits continuous queries to efficiently perform realtime aggregation of captured network data and supports filtering operations to further reduce traffic volume focusing on relevant data. Furthermore, NED provides an efficient algorithm to perform refinement analysis by means of association rules to discover traffic features. Extracted rules allow traffic data characterization in terms of correlation and recurrence of feature patterns. Preliminary experimental results performed on different network dumps showed the efficiency and effectiveness of the NED framework to characterize traffic data

Analyzing Transport Problems in Tirana on a Sound Scientific System Base

The globalization process taking place recent years has significantly increased the need for mobility. Due to the urban population growth and urbanization, the role of transportation engineering in daily life has mainly increased accompanied by the challenges featuring it. Of importance is the mobility on urban areas, considering the socio-economic and environmental effects. Furthermore in developing countries to such situations contribute the weak enforcement of traffic rules and regulations. This study illustrate, analyze and provides new methodologies on optimizing traffic congestion in the capital of Albania, Tirana. Focusing on the road network and public transportation impacts on mobility, the research seeks to outline new strategic solutions for the rapid developing capital, oriented toward society wealth as follows; i) The investigation and illustration of the strengths, weakness and improvements that could be implemented on road network and reorganization inside the urban area of the capital is of first call. ii) As the main motorized transportation mode, reorientation and coordination of public transport system directly affect the socio-economic behavior and smoother traffic flow. iii) The lack of coherent data concerning traffic information system in problematic bottlenecks directly affect traffic management in those zones. In this context, implementation of different techniques for data gathering and application of intelligent transportation system in particular areas like CBD, improves the management of the congestion. Beside, reassessment of the existing and implementation of new parking areas due to future requirements, efficiently smoothers unpredicted congestion situations. iv) Last but not list, the establishment of a framework for actions for the road network and public transportation systems of Tirana results in provision of successive recommendations and analysis. Moreover it shall evaluate the relationship and impact that and public transportation system have on each other and their effect to socio-economic development and environmental issues of the capital

Network emulation focusing on QoS-Oriented satellite communication

This chapter proposes network emulation basics and a complete case study of QoS-oriented Satellite Communication

Fixed-Mobile Convergence in the 5G era: From Hybrid Access to Converged Core

The availability of different paths to communicate to a user or device introduces several benefits, from boosting enduser performance to improving network utilization. Hybrid access is a first step in enabling convergence of mobile and fixed networks, however, despite traffic optimization, this approach is limited as fixed and mobile are still two separate core networks inter-connected through an aggregation point. On the road to 5G networks, the design trend is moving towards an aggregated network, where different access technologies share a common anchor point in the core. This enables further network optimization in addition to hybrid access, examples are userspecific policies for aggregation and improved traffic balancing across different accesses according to user, network, and service context. This paper aims to discuss the ongoing work around hybrid access and network convergence by Broadband Forum and 3GPP. We present some testbed results on hybrid access and analyze some primary performance indicators such as achievable data rates, link utilization for aggregated traffic and session setup latency. We finally discuss the future directions for network convergence to enable future scenarios with enhanced configuration capabilities for fixed and mobile convergence.Comment: to appear in IEEE Networ

Experimental study and modelling of Networked Virtual Environment server traffic

The paradigm of virtual world environment arises as an useful tool in diverse fields such as e-Health or education, where they provide a new way of communication and interaction with end users. Networking capabilities play an important role in these systems, which motivates the study and understanding of the gaming network traffic. The present work focuses on Open Wonderland, a system that provides the basis for the development of Networked Virtual Environments with educational or health purposes. The goal of this paper is defining a testing environment and modelling the behaviour of the outgoing network traffic at the server side.Ministerio de Industria, Comercio y Turismo AAL-010000-2012-10Ministerio de Ciencia e Innovación TEC2009-10639-C04-0