Asia Pacific University Library catalogue


Data analytics and decision support for cybersecurity : trends, methodologies and applications / Iván Palomares Carrascosa, Harsha Kumara Kalutarage, Yan Huang, editors.

Contributor(s): Carrascosa, Iván Palomares | Kalutarage, Harsha Kumara | Huang, YanMaterial type: TextTextSeries: Data analyticsPublication details: Cham, Switzerland : Springer-Verlag, 2017Description: xvi, 270 p. : ill. ; 24 cmISBN: 9783319594385 (hbk.); 3319594389 (hbk.)Subject(s): Computer security -- Decision making | Big data | Data encryption (Computer science)LOC classification: QA76.9.A25 | D38 2017
Contents:
A Toolset for Intrusion and Insider Threat Detection.- Human-Machine Decision Support Systems for Insider Threat Detection.- Detecting malicious collusions between mobile software applications.- Dynamic Analysis of Malware using Run-Time Opcodes.- Big Data Analytics for Intrusion Detection System: Statistical Decision-making using Finite Dirichlet Mixture Models.- Security of Online Examinations.- Attribute Noise, Classification Technique, and Classification Accuracy.- Learning from Loads: An Intelligent System for Decision Support in Identifying Nodal Load Disturbances of Cyber-Attacks in Smart Power Systems using Gaussian Processes and Fuzzy Inference.- Visualization and Data Provenance Trends in Decision Support for Cybersecurity.
Summary: "The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception"--Provided by publisher.
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Open Shelf 		Book QA76.9.A25 D38 2017 c.1 (Browse shelf (Opens below)) 1 Available 00012349

Includes bibliographical references.

A Toolset for Intrusion and Insider Threat Detection.- Human-Machine Decision Support Systems for Insider Threat Detection.- Detecting malicious collusions between mobile software applications.- Dynamic Analysis of Malware using Run-Time Opcodes.- Big Data Analytics for Intrusion Detection System: Statistical Decision-making using Finite Dirichlet Mixture Models.- Security of Online Examinations.- Attribute Noise, Classification Technique, and Classification Accuracy.- Learning from Loads: An Intelligent System for Decision Support in Identifying Nodal Load Disturbances of Cyber-Attacks in Smart Power Systems using Gaussian Processes and Fuzzy Inference.- Visualization and Data Provenance Trends in Decision Support for Cybersecurity.


"The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception"--Provided by publisher.

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