Design & Development of Data Model for Cyber Threat

Kunal Sinha

ISBN 10: 6203582212 / ISBN 13: 9786203582215

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - '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.

Seller Inventory # 9786203582215

Bibliographic Details

• Title: Design & Development of Data Model for Cyber Threat
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6203582212
• ISBN 13: 9786203582215
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 155 grams

About this title

Synopsis

“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.