04515nam 22006015 450 991025483150332120200706073528.03-319-59439-710.1007/978-3-319-59439-2(CKB)3710000001631389(MiAaPQ)EBC4933612(DE-He213)978-3-319-59439-2(PPN)203852834(EXLCZ)99371000000163138920170801d2017 u| 0engurcnu||||||||rdacontentrdamediardacarrierData Analytics and Decision Support for Cybersecurity Trends, Methodologies and Applications /edited by Iván Palomares Carrascosa, Harsha Kumara Kalutarage, Yan Huang1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (270 pages) illustrations (some color), tablesData Analytics,2520-18593-319-59438-9 Includes bibliographical references at the end of each chapters.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. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.Data Analytics,2520-1859Data miningData encryption (Computer science)Big dataData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Cryptologyhttps://scigraph.springernature.com/ontologies/product-market-codes/I28020Big Data/Analyticshttps://scigraph.springernature.com/ontologies/product-market-codes/522070Data mining.Data encryption (Computer science).Big data.Data Mining and Knowledge Discovery.Cryptology.Big Data/Analytics.005.8Palomares Carrascosa Ivánedthttp://id.loc.gov/vocabulary/relators/edtKalutarage Harsha Kumaraedthttp://id.loc.gov/vocabulary/relators/edtHuang Yanedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254831503321Data Analytics and Decision Support for Cybersecurity2507967UNINA