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Auflistung nach Schlagwort "Graph Database"

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  • Textdokument
    Anomaly Detection in Log Data using Graph Databases and Machine Learning to Defend Advanced Persistent Threats
    (INFORMATIK 2017, 2017) Schindler, Timo
    Advanced Persistent Threats (APTs) are a main impendence in cyber security of computer networks. In 2015, a successful breach remains undetected 146 days on average, reported by [Fi16].With our work we demonstrate a feasible and fast way to analyse real world log data to detect breaches or breach attempts. By adapting well-known kill chain mechanisms and a combine of a time series database and an abstracted graph approach, it is possible to create flexible attack profiles. Using this approach, it can be demonstrated that the graph analysis successfully detects simulated attacks by analysing the log data of a simulated computer network. Considering another source for log data, the framework is capable to deliver sufficient performance for analysing real-world data in short time. By using the computing power of the graph database it is possible to identify the attacker and furthermore it is feasible to detect other affected system components. We believe to significantly reduce the detection time of breaches with this approach and react fast to new attack vectors.
  • Zeitschriftenartikel
    Zur Nutzung von SQL- und NoSQL-Technologien
    (HMD Praxis der Wirtschaftsinformatik: Vol. 53, No. 4, 2016) Meier, Andreas
    Webbasierte Anwendungen setzen für unterschiedliche Dienstleistungen adäquate Datenhaltungssysteme ein. Die Nutzung einer einzigen Datenbanktechnologie genügt nicht mehr. In diesem Überblicksbeitrag wird der Begriff Big Data erläutert, bevor die Potenziale von SQL- und NoSQL-Technologien einander gegenübergestellt werden. Nach der Vorstellung der wichtigsten NoSQL-Ansätze und entsprechender Anwendungsoptionen werden organisatorische Maßnahmen für das Unternehmen im Zeitalter des Big Data aufgezeigt.AbstractWeb-based applications need adequate database concepts for their services. Working with a single database technology doesn’t help anymore. This overview explains the term Big Data and compares the potentials of SQL- and NoSQL-technologies. It explains NoSQL principles and appliation options before organizational issues will be proposed for the era of Big Data.