Risks and Security of Internet and Systems (eBook, PDF)

10th International Conference, CRiSIS 2015, Mytilene, Lesbos Island, Greece, July 20-22, 2015, Revised Selected Papers
Redaktion: Lambrinoudakis, Costas; Gabillon, Alban

• Format: PDF

Produktbeschreibung

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 sessions that have covered a broad range of topics: trust and privacy issues, privacy policies and policy based protocols, risk management, risk analysis and vulnerability assessment, cloud systems and cryptography, and attack and security measures.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 307
• Erscheinungstermin: 2. April 2016
• Englisch
• ISBN-13: 9783319318110
• Artikelnr.: 44896062

Inhaltsangabe

Addressing Privacy andTrust Issues in Cultural Heritage Modelling.- An Ontology Regulating PrivacyOriented Access Controls.- A Literature Survey and Classifications on DataDeanonymisation.- Improving Users' Trust through Friendly Privacy Policies: An EmpiricalStudy.- MPLS Policy Target Recognition Network.- Context aware Intrusion ResponseBased on Argumentation Logic.- Countermeasure Selection Based on the Attack andService Dependency Graphs for Security Incident Management.- Quantitative Risk,Statistical Methods and the Four Quadrants for Information Security.- Exploringa Controls-Based Assessment of Infrastructure Vulnerability.- Quantifying Securityin 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 KeyScheduling Based Compression Function.- Security Issue of Wireless HART BasedSCADA Systems.- Attack Volume Model: Geometrical Approach and Application.- An IntensiveAnalysis of Security and Privacy Browser Add-Ons.- MBotCS: A mobile Botnet DetectionSystem Based on Machine Learning.- Toward Securing MANET against the EnergyDepletion Attack.