ISBN: 9786206737056 - twitter spam detection and traffic classification: a data-driven cyber security approach (5 resultados)

Taschenbuch. Condición: Neu. Twitter Spam Detection and Traffic Classification | A data-driven cyber security approach | Soumitra Das (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206737056 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies are being replaced by automated approaches powered by machine learning, driven by the availability of large datasets that enable high-performance AI models. This book reviews recent research on cyber traffic analysis over social networks and the Internet, focusing on similarity, correlation, and collective indication concepts, and emphasizing the importance of security goals in classifying network hosts, applications, users, and tweets. To tackle these challenges, the paper introduces a new research methodology called data-driven cyber security (DDCS) and its application in analyzing social and Internet traffic. The DDCS methodology consists of three main components: cyber security data processing, cyber security feature engineering, and cyber security modeling. 76 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies are being replaced by automated approaches powered by machine learning, driven by the availability of large datasets that enable high-performance AI models. This book reviews recent research on cyber traffic analysis over social networks and the Internet, focusing on similarity, correlation, and collective indication concepts, and emphasizing the importance of security goals in classifying network hosts, applications, users, and tweets. To tackle these challenges, the paper introduces a new research methodology called data-driven cyber security (DDCS) and its application in analyzing social and Internet traffic. The DDCS methodology consists of three main components: cyber security data processing, cyber security feature engineering, and cyber security modeling.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies a.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies are being replaced by automated approaches powered by machine learning, driven by the availability of large datasets that enable high-performance AI models. This book reviews recent research on cyber traffic analysis over social networks and the Internet, focusing on similarity, correlation, and collective indication concepts, and emphasizing the importance of security goals in classifying network hosts, applications, users, and tweets. To tackle these challenges, the paper introduces a new research methodology called data-driven cyber security (DDCS) and its application in analyzing social and Internet traffic. The DDCS methodology consists of three main components: cyber security data processing, cyber security feature engineering, and cyber security modeling.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.…