204 research outputs found

    An ontology-driven architecture for data integration and management in home-based telemonitoring scenarios

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    The shift from traditional medical care to the use of new technology and engineering innovations is nowadays an interesting and growing research area mainly motivated by a growing population with chronic conditions and disabilities. By means of information and communications technologies (ICTs), telemedicine systems offer a good solution for providing medical care at a distance to any person in any place at any time. Although significant contributions have been made in this field in recent decades, telemedicine and in e-health scenarios in general still pose numerous challenges that need to be addressed by researchers in order to take maximum advantage of the benefits that these systems provide and to support their long-term implementation. The goal of this research thesis is to make contributions in the field of home-based telemonitoring scenarios. By periodically collecting patients' clinical data and transferring them to physicians located in remote sites, patient health status supervision and feedback provision is possible. This type of telemedicine system guarantees patient supervision while reducing costs (enabling more autonomous patient care and avoiding hospital over flows). Furthermore, patients' quality of life and empowerment are improved. Specifically, this research investigates how a new architecture based on ontologies can be successfully used to address the main challenges presented in home-based telemonitoring scenarios. The challenges include data integration, personalized care, multi-chronic conditions, clinical and technical management. These are the principal issues presented and discussed in this thesis. The proposed new ontology-based architecture takes into account both practical and conceptual integration issues and the transference of data between the end points of the telemonitoring scenario (i.e, communication and message exchange). The architecture includes two layers: 1) a conceptual layer and 2) a data and communication layer. On the one hand, the conceptual layer based on ontologies is proposed to unify the management procedure and integrate incoming data from all the sources involved in the telemonitoring process. On the other hand, the data and communication layer based on web service technologies is proposed to provide practical back-up to the use of the ontology, to provide a real implementation of the tasks it describes and thus to provide a means of exchanging data. This architecture takes advantage of the combination of ontologies, rules, web services and the autonomic computing paradigm. All are well-known technologies and popular solutions applied in the semantic web domain and network management field. A review of these technologies and related works that have made use of them is presented in this thesis in order to understand how they can be combined successfully to provide a solution for telemonitoring scenarios. The design and development of the ontology used in the conceptual layer led to the study of the autonomic computing paradigm and its combination with ontologies. In addition, the OWL (Ontology Web Language) language was studied and selected to express the required knowledge in the ontology while the SPARQL language was examined for its effective use in defining rules. As an outcome of these research tasks, the HOTMES (Home Ontology for Integrated Management in Telemonitoring Scenarios) ontology, presented in this thesis, was developed. The combination of the HOTMES ontology with SPARQL rules to provide a flexible solution for personalising management tasks and adapting the methodology for different management purposes is also discussed. The use of Web Services (WSs) was investigated to support the exchange of information defined in the conceptual layer of the architecture. A generic ontology based solution was designed to integrate data and management procedures in the data and communication layer of the architecture. This is an innovative REST-inspired architecture that allows information contained in an ontology to be exchanged in a generic manner. This layer structure and its communication method provide the approach with scalability and re-usability features. The application of the HOTMES-based architecture has been studied for clinical purposes following three simple methodological stages described in this thesis. Data and management integration for context-aware and personalized monitoring services for patients with chronic conditions in the telemonitoring scenario are thus addressed. In particular, the extension of the HOTMES ontology defines a patient profile. These profiles in combination with individual rules provide clinical guidelines aiming to monitor and evaluate the evolution of the patient's health status evolution. This research implied a multi-disciplinary collaboration where clinicians had an essential role both in the ontology definition and in the validation of the proposed approach. Patient profiles were defined for 16 types of different diseases. Finally, two solutions were explored and compared in this thesis to address the remote technical management of all devices that comprise the telemonitoring scenario. The first solution was based on the HOTMES ontology-based architecture. The second solution was based on the most popular TCP/IP management architecture, SNMP (Simple Network Management Protocol). As a general conclusion, it has been demonstrated that the combination of ontologies, rules, WSs and the autonomic computing paradigm takes advantage of the main benefits that these technologies can offer in terms of knowledge representation, work flow organization, data transference, personalization of services and self-management capabilities. It has been proven that ontologies can be successfully used to provide clear descriptions of managed data (both clinical and technical) and ways of managing such information. This represents a further step towards the possibility of establishing more effective home-based telemonitoring systems and thus improving the remote care of patients with chronic diseases

    Management of Dynamic Networks and Services

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    Colloque sur invitation. internationale.International audienceWhen the first management standards were established, about 20 years ago, they where designed for the management of highly static elements (e.g. backbone switches, core routers, mainframes) and statically provisioned network services (e.g. virtual circuits, virtal paths, ...). This situation has drastically changed over the recent years with the increasing support for dynamics at all levels of a networked service: element, infrastructure, middleware and service. This is achieved mainly by the advent of wireless infrastructures (especially WiFi), Home Networks, programmable elements, component based and extensible service infrastructures and novel service models such as the P2P one. This dynamics has an enormous impact on the management plane which needs to adapt to the conditions imposed by these novel infrastructures. This tutorial addresses this issue by (1) identifying the management need and the new requirements, (2) presenting in detail the potential to address these requirements by 2 industrial deployed approaches: JMX in the Java world and SyncML-DM in the Device management world, (3) providing an up-to-date vision of research proposals addressing advanced dynamics of managed infrastructure

    NetFlow, RMON and Cisco-NAM deployment

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    In this report, we present the deployment of NetFlow, RMON and the Cisco Network Analysis Module, Cisco-NAM, on the team testbed. First, we present the different technologies, and then we describe their deployment and how they were integrated in the team testbed

    Intrusion Detection In Wireless Sensor Networks

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    There are several applications that use sensor motes and researchers continue to explore additional applications. For this particular application of detecting the movement of humans through the sensor field, a set of Berkley mica2 motes on TinyOS operating system is used. Different sensors such as pressure, light, and so on can be used to identify the presence of an intruder in the field. In our case, the light sensor is chosen for the detection. When an intruder crosses the monitored environment, the system detects the changes of the light values, and any significant change meaning that a change greater than a pre-defined threshold. This indicates the presence of an intruder. An integrated web cam is used to take snapshot of the intruder and transmit the picture through the network to a remote station. The basic motivation of this thesis is that a sensor web system can be used to monitor and detect any intruder in a specific area from a remote location

    Distributed control of reconfigurable mobile network agents for resource coordination

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    Includes abstract.Includes bibliographical references.Considering the tremendous growth of internet applications and network resource federation proposed towards future open access network (FOAN), the need to analyze the robustness of the classical signalling mechanisms across multiple network operators cannot be over-emphasized. It is envisaged, there will be additional challenges in meeting the bandwidth requirements and network management...The first objective of this project is to describe the networking environment based on the support for heterogeneity of network components..

    Second CLIPS Conference Proceedings, volume 1

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    Topics covered at the 2nd CLIPS Conference held at the Johnson Space Center, September 23-25, 1991 are given. Topics include rule groupings, fault detection using expert systems, decision making using expert systems, knowledge representation, computer aided design and debugging expert systems

    AI Solutions for MDS: Artificial Intelligence Techniques for Misuse Detection and Localisation in Telecommunication Environments

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    This report considers the application of Articial Intelligence (AI) techniques to the problem of misuse detection and misuse localisation within telecommunications environments. A broad survey of techniques is provided, that covers inter alia rule based systems, model-based systems, case based reasoning, pattern matching, clustering and feature extraction, articial neural networks, genetic algorithms, arti cial immune systems, agent based systems, data mining and a variety of hybrid approaches. The report then considers the central issue of event correlation, that is at the heart of many misuse detection and localisation systems. The notion of being able to infer misuse by the correlation of individual temporally distributed events within a multiple data stream environment is explored, and a range of techniques, covering model based approaches, `programmed' AI and machine learning paradigms. It is found that, in general, correlation is best achieved via rule based approaches, but that these suffer from a number of drawbacks, such as the difculty of developing and maintaining an appropriate knowledge base, and the lack of ability to generalise from known misuses to new unseen misuses. Two distinct approaches are evident. One attempts to encode knowledge of known misuses, typically within rules, and use this to screen events. This approach cannot generally detect misuses for which it has not been programmed, i.e. it is prone to issuing false negatives. The other attempts to `learn' the features of event patterns that constitute normal behaviour, and, by observing patterns that do not match expected behaviour, detect when a misuse has occurred. This approach is prone to issuing false positives, i.e. inferring misuse from innocent patterns of behaviour that the system was not trained to recognise. Contemporary approaches are seen to favour hybridisation, often combining detection or localisation mechanisms for both abnormal and normal behaviour, the former to capture known cases of misuse, the latter to capture unknown cases. In some systems, these mechanisms even work together to update each other to increase detection rates and lower false positive rates. It is concluded that hybridisation offers the most promising future direction, but that a rule or state based component is likely to remain, being the most natural approach to the correlation of complex events. The challenge, then, is to mitigate the weaknesses of canonical programmed systems such that learning, generalisation and adaptation are more readily facilitated

    Tietoverkkojen valvonnan yhdenmukaistaminen

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    As the modern society is increasingly dependant on computer networks especially as the Internet of Things gaining popularity, a need to monitor computer networks along with associated devices increases. Additionally, the amount of cyber attacks is increasing and certain malware such as Mirai target especially network devices. In order to effectively monitor computer networks and devices, effective solutions are required for collecting and storing the information. This thesis designs and implements a novel network monitoring system. The presented system is capable of utilizing state-of-the-art network monitoring protocols and harmonizing the collected information using a common data model. This design allows effective queries and further processing on the collected information. The presented system is evaluated by comparing the system against the requirements imposed on the system, by assessing the amount of harmonized information using several protocols and by assessing the suitability of the chosen data model. Additionally, the protocol overheads of the used network monitoring protocols are evaluated. The presented system was found to fulfil the imposed requirements. Approximately 21% of the information provided by the chosen network monitoring protocols could be harmonized into the chosen data model format. The result is sufficient for effective querying and combining the information, as well as for processing the information further. The result can be improved by extending the data model and improving the information processing. Additionally, the chosen data model was shown to be suitable for the use case presented in this thesis.Yhteiskunnan ollessa jatkuvasti verkottuneempi erityisesti Esineiden Internetin kasvattaessa suosiotaan, tarve seurata sekä verkon että siihen liitettyjen laitteiden tilaa ja mahdollisia poikkeustilanteita kasvaa. Lisäksi tietoverkkohyökkäysten määrä on kasvamassa ja erinäiset haittaohjelmat kuten Mirai, ovat suunnattu erityisesti verkkolaitteita kohtaan. Jotta verkkoa ja sen laitteiden tilaa voidaan seurata, tarvitaan tehokkaita ratkaisuja tiedon keräämiseen sekä säilöntään. Tässä diplomityössä suunnitellaan ja toteutetaan verkonvalvontajärjestelmä, joka mahdollistaa moninaisten verkonvalvontaprotokollien hyödyntämisen tiedonkeräykseen. Lisäksi järjestelmä säilöö kerätyn tiedon käyttäen yhtenäistä tietomallia. Yhtenäisen tietomallin käyttö mahdollistaa tiedon tehokkaan jatkojalostamisen sekä haut tietosisältöihin. Diplomityössä esiteltävän järjestelmän ominaisuuksia arvioidaan tarkastelemalla, minkälaisia osuuksia eri verkonvalvontaprotokollien tarjoamasta informaatiosta voidaan yhdenmukaistaa tietomalliin, onko valittu tietomalli soveltuva verkonvalvontaan sekä varmistetaan esiteltävän järjestelmän täyttävän sille asetetut vaatimukset. Lisäksi työssä arvioidaan käytettävien verkonvalvontaprotokollien siirtämisen kiinteitä kustannuksia kuten otsakkeita. Työssä esitellyn järjestelmän todettiin täyttävän sille asetetut vaatimukset. Eri verkonvalvontaprotokollien tarjoamasta informaatiosta keskimäärin 21% voitiin harmonisoida tietomalliin. Saavutettu osuus on riittävä, jotta eri laitteista saatavaa informaatiota voidaan yhdistellä ja hakea tehokkaasti. Lukemaa voidaan jatkossa parantaa laajentamalla tietomallia sekä kehittämällä kerätyn informaation prosessointia. Lisäksi valittu tietomalli todettiin soveltuvaksi tämän diplomityön käyttötarkoitukseen
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