Ksiezopolski Multilevel Modeling of Secure Systems in QoP-ML

Erscheinungsjahr 2015
ISBN: 978-1-4822-0256-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 262 Seiten

In order to perform effective analysis of today’s information security systems, numerous components must be taken into consideration. This book presents a well-organized, consistent solution created by the author, which allows for precise multilevel analysis of information security systems and accounts for all of the significant details.

Enabling the multilevel modeling of secure systems, the quality of protection modeling language (QoP-ML) approach provides for the abstraction of security systems while maintaining an emphasis on quality protection. This book introduces the basis of the QoP modeling language along with all the advanced analysis modules, syntax, and semantics. It delineates the steps used in cryptographic protocols and introduces a multilevel protocol analysis that expands current understanding.

- Introduces quality of protection evaluation of IT Systems

- Covers the financial, economic, and CO2 emission analysis phase

- Supplies a multilevel analysis of Cloud-based data centers

- Details the structures for advanced communication modeling and energy analysis

- Considers security and energy efficiency trade-offs for the protocols of wireless sensor network architectures

- Includes case studies that illustrate the QoP analysis process using the QoP-ML

- Examines the robust security metrics of cryptographic primitives

- Compares and contrasts QoP-ML with the PL/SQL, SecureUML, and UMLsec approaches by means of the SEQUAL framework

The book explains the formal logic for representing the relationships between security mechanisms in a manner that offers the possibility to evaluate security attributes. It presents the architecture and API of tools that ensure automatic analysis, including the automatic quality of protection analysis tool (AQoPA), crypto metrics tool (CMTool), and security mechanisms evaluation tool (SMETool).

The book includes a number of examples and case studies that illustrate the QoP analysis process by the QoP-ML. Every operation defined by QoP-ML is described within parameters of security metrics to help you better evaluate the impact of each operation on your system's security.

Zielgruppe

Security engineers working on designing secure systems.

Autoren/Hrsg.

Ksiezopolski, Bogdan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

Introduction to Multilevel Modeling of Secure Systems

Model Driven Security
Quality of Protection Models
Multi-Level Analysis Scheme
Model-Based Multi-Level Decision Support System
Structure of the Book

Basis of QoP-ML
Data Types
Functions

Equational Rules
Process Types
Message Passing Synchronous Communication
Control Operators Condition Statement Repetition Other Structures
Security Metrics

Process Instantiation
QoP-ML Base Algorithms
Experimental Validation of the QoP-ML
Case Study: TLS Handshake Protocol with Secure Data Transmission Protocol Modeling Security Metrics Definition Process Instantiation QoP-ML Processing and QoP Evaluation

Quality of Protection Evaluation of Security Mechanisms
Facts and Rules
Evaluation Rules
Inference Rule
Inference Mechanism
Security Attributes
Conflicts between Rules
Evaluation Rules System
QoP Evaluation Process of Security Mechanisms
Background of the Model

Methodology of QoP Evaluation of Security Mechanisms
Case Study: TLS Handshake Protocol QoP Modeling Linking Stage Configuration Stage QoP evaluation Stage QUALITATIVE Estimation
Formal Model Goals Evaluation

Advanced Communication and Energy Efficiency Modeling

Topology Connection Definition Quality of Connections Transmission Time Transmission Time – Algorithms Structure
Packet Filtering Channels Input and Output Messages
Routing
Energy Analysis
Case Study – Multihop Authentication Protocols for WSN Direct Join to Sink: DJSorig Indirect Protocols to Join the Sink
The WSN Protocols Modeling in QoP-ML Functions Equations Channels Protocol Flow The Algorithm Structure Security Metrics Process Instantiation WSN protocols Evaluation – Results

Environmental Impact and Financial Costs Analysis
The Financial and Economic Analyses Cost of Energy Consumption of the Infrastructure Cost of Cooling Infrastructure Utilization
CO2 Emissions Analysis
Case study – Energy and Environmental Impact Analysis of a Data Center Scenario Role-Based Access Control Model in QoP-ML The Analyses

Reputation Analysis in QoP-ML
Functions
Security metrics
Modules
Case study – Average Reputation System The Reputation in the QoP-ML – Protocol Modeling Security Metrics Definition Reputation Module Process Instantiation QoP and Reputation Evaluation

Security metrics – Methodology

The model Step 1: Information Needs Step 2: Elaboration of the Object of Measurement and Attributes Step 3: Validation of the Measurement Method Step 4: Base Measures Calculations Step 5: Validation of Base Measures Step 6: Derived Measures Calculations – Optional Step Step 7: Validation of Derived Measures – Optional Step Step 8: Separation of Indicators Step 9: Analysis of Gathered Measurement Results
Case study – Cryptographic Modules Step 1: Information Needs Step 2: Elaboration of the Object of Measurement and Attributes Step 3: Validation of the Measurement Method Step 4: Base Measures Specification Step 5: Validation of Base Measures Step 6 and 7: Derived Measures Specification and Validation Step 8: Separation of Indicators Step 9: Analysis of Measurement Results Gathered
Test of Cryptographic Primitives

Tool Support
AQoPA – Automatic Quality of Protection Analysis Tool Step 1 – Model Creation Step 2 – Security Metrics Definition Step 3 – Scenario Definition Step 4 – Simulation
SMETool – Security Mechanisms Evaluation Tool Data Flow Model
Crypto-Metrics Tool (CMTool) Data Flow Data Flow Model

Functionality and Usability of QoP-ML
Security Modeling Framework Semantic Quality Syntactic Quality Pragmatic Quality Methodology Extensions
Assessment of PL/SQL, secureUML and UMLsec PL/SQL Security Model SecureUML Model UMLsec Model

Case Study – RBAC in QoP-ML RBAC Security Model Prepared in QoP-ML Assessment of the QoP-ML’s Security Model Comparison of Security Models in Terms of QoP-ML
Summary

Appendix

BNF of QoP-ML
Base QoP-ML Algorithms
The Data for QoP Evaluation of TLS Protocol The Rules Definition for TLS Cryptographic Protocol The Facts Order Definition for the TLS Cryptographic Protocol The QoP Evaluation Rules Definition for the TLS Cryptographic Protocol
Algorithms for Advanced Communication
Validation Algorithms for Security Metrics

References
Index

Über Autor(innen)

Bogdan Ksiezopolski is an assistant professor at the Polish-Japanese Academy of Information Technology in Warsaw and Maria Sklodowska-Curie University in Lublin. He received his M.Sc. in computer physics from Maria Curie-Sklodowska University in Lublin and his Ph.D. in computer science from Polish-Japanese Academy of Information Technology in Warsaw, Poland. His research interests include information security, cryptology, security metrics, security engineering, and cryptographic protocols. He has published over 40 papers on computers security. He is the founder and creator of the Quality of Protection Modeling Language (QoP-ML) which enables multilevel modeling of secure systems.