109 research outputs found
Experimental performance evaluation of a flow control algorithm for multimedia network applications over a WAN
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The LABNET-Server Software Architecture for Remote Management of Distributed Laboratories: Current Status and Perspectives
No full textAsset Tracking Solution with BLE and Smartphones: An Energy/Position Accuracy Trade-Off
No full textThis paper presents a new asset tracking system that integrates a classical tracking solution with the Bluetooth Low Energy (BLE) technology and the opportunities offered by smartphones. The proposed platform has been explicitly designed and implemented to be employed in construction sites and was tested in a real environment. The solution aims at guaranteeing a two-fold requirement: i) a good level of precision in terms of accuracy of the position of the asset location and completeness of the acquired information (i.e., detection of all the tagged assets) and, at the same time, ii) saving smartphones' resources such as CPU, memory and, in particular, energy
Support Vector Machine Meets Software Defined Networking in IDS Domain
No full textIntrusion Detection Systems (IDS) are aimed at analyzing and detecting security problems. IDS based on anomaly detection and, in particular, on statistical analysis, inspect each traffic flow in order to get its statistical characterization, which represents the fingerprint of the flow. Software Defined Networking (SDN) is revolutionizing the networking industry by enabling programmability, easier management and faster innovation. These benefits are made possible by its centralized control plane architecture which allows the network to be programmed and controlled by one central entity. The fusion of these two technologies can lead to an innovative system of malware detection. This paper tries to join these two concepts in order to obtain the best from the two worlds. We use a well known machine learning scheme (Support Vector Machine) as core system for detecting malware by using only traffic features that can be extracted using an SDN controller
Monitoring unauthorized internet accesses through a ‘honeypot’ system
No full textThe role of the Internet is continuously increasing and many technical, commercial, and business transactions are carried out by a multitude of users who exploit a set of specialized/sophisticated network applications. In this context, the task of network monitoring and surveillance is gaining great relevance and honeypots represent promising tools to get information, and understanding about the 'areas of interests' of attackers, as well as about the possible relations among 'blackhat' teams. The paper presents and discusses the results achieved by a group of honeypots deployed within the networks of the Department of Communication, Computer and System Science at the University of Genoa. The collected statistics, measured over 4-month long period, reveal that approximately 10 000 different attackers, coming from 130 different countries, have 'contacted' the honeypot system and that about 60 000 TCP distinct connections have logged in. Our high-interaction honeypot has counted more than 25 000 attempts to access a ssh server, thus permitting to trace many attempts to install rootkits. A comparison with results obtained by similar researches carried out in other laboratories is presented and commented
Asset tracking architecture with Bluetooth Low Energy tags and ad hoc smartphone applications
No full textThe paper describes an original architecture aimed at tracking assets within construction sites or similar contexts. The main components are: i) RFID tags, ii) Bluetooth Low Energy (BLE) tags and iii) smartphones. The core functions of the architecture are performed by two Android applications: the Asset Proximity Locator (APL) and the Wandering Objects Location Finder (WOLF). The key feature of the asset tracking function is the ability to maximize smartphone battery lifetime by switching on and off the GPS unit, thus guaranteeing that the smartphone can be used for an entire working shift. A detailed energy consumption analysis is carried out for each component of the architecture. The results achieved by simulations, concerning BLE tag detection probability, are presented and discussed
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