Data Analytics and Decision Support for Cybersecurity Trends, Methodologies and Applications /

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 e...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Palomares Carrascosa, Iván (Επιμελητής έκδοσης), Kalutarage, Harsha Kumara (Επιμελητής έκδοσης), Huang, Yan (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Data Analytics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.