Design & Development of Data Model for Cyber Threat - Sinha, Kunal;Senapati, Kishore Kumar
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"Design and Development of Data Model for Cyber Threat" describes a methodology to prepare a of a database for Cyber Security. This database helps in information retrieval of queries related to Cyber Threat and Cyber Crimes. Database can be a boon towards interpretation of cyber security. It may help in grasping the crime patterns and prediction of crimes and its types. While a preventive step database may additionally serve as a proven tool for the identification, categorization and prevention of cyber-crimes and threats. Identification of entities becomes an easier while using database…mehr

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Produktbeschreibung
"Design and Development of Data Model for Cyber Threat" describes a methodology to prepare a of a database for Cyber Security. This database helps in information retrieval of queries related to Cyber Threat and Cyber Crimes. Database can be a boon towards interpretation of cyber security. It may help in grasping the crime patterns and prediction of crimes and its types. While a preventive step database may additionally serve as a proven tool for the identification, categorization and prevention of cyber-crimes and threats. Identification of entities becomes an easier while using database concepts on a particular function. The work discusses about two different models of application, these are:-a) A data model application that allows for detection and assessment of attacks on networks based on unknown facts.b) A data model application that allows the prediction of future attacks based on intent known facts.
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Autorenporträt
Kunal Sinha es M.Tech (Sistemas de Software) de BITS Pilani, India. También tiene un par de certificaciones de diferentes IIT de la India. KK Senapati es profesor asistente en el Departamento de Ciencias de la Computación en BIT MESRA, Ranchi, India. Tiene una maestría en Ciencias de la Computación de la Universidad UTKAL y un doctorado en Ingeniería de BIT MESRA. Tiene 18 años de experiencia en la enseñanza y la investigación.