Risks and Security of Internet and Systems 10th International Conference, CRiSIS 2015, Mytilene, Lesbos Island, Greece, July 20-22, 2015, Revised Selected Papers /

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Risks and Security of Internet Systems, CRiSIS 2015, held in Mytilene, Lesbos Island, Greece, in July 2015. The 18 full papers presented were selected from 50 submissions. The papers ses...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Lambrinoudakis, Costas (Επιμελητής έκδοσης), Gabillon, Alban (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Lecture Notes in Computer Science, 9572
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Addressing Privacy and Trust Issues in Cultural Heritage Modelling
  • An Ontology Regulating Privacy Oriented Access Controls
  • A Literature Survey and Classifications on Data Deanonymisation
  • Improving Users’ Trust through Friendly Privacy Policies: An Empirical Study
  • MPLS Policy Target Recognition Network
  • Context aware Intrusion Response Based on Argumentation Logic
  • Countermeasure Selection Based on the Attack and Service Dependency Graphs for Security Incident Management
  • Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security
  • Exploring a Controls-Based Assessment of Infrastructure Vulnerability
  • Quantifying Security in Web ETL Processes
  • A Meta-Model for Assisting a Cloud Forensics Process
  • POR-2P: Network Coding-Based POR for Data Provision-Payment System
  • A Single Key Scheduling Based Compression Function
  • Security Issue of Wireless HART Based SCADA Systems
  • Attack Volume Model: Geometrical Approach and Application
  • An Intensive Analysis of Security and Privacy Browser Add-Ons
  • MBotCS: A mobile Botnet Detection System Based on Machine Learning
  • Toward Securing MANET against the Energy Depletion Attack. .