Cyberpatterns Unifying Design Patterns with Security and Attack Patterns
Cyberpatterns are predictable regularities in cyberspace helping us to design and implement more effective and secure systems, and to detect and respond to breaches, failures and deficiencies in operational systems. Cyberpatterns is in its infancy and there are many challenges including: Developing...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2014, 2014
|
| Edition: | 1st ed. 2014 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Cyberpatterns: Towards a Pattern Oriented Study of Cyberspace
- Towards a Conceptual Framework for Security Patterns
- Design Patterns: Applications and Open Issues
- Challenges For A Formal Framework for Patterns
- Design Space-Based Pattern Representation
- Extending AOP Principles for the Description of Network Security Patterns
- Management Patterns for Network Resilience: Design and Verification of Policy Configurations
- A Heuristic Approach for Secure Service Composition Adaptation.- A Strategy for Structuring and Formalising Attack Patterns
- Attack Pattern Recognition through Correlating Cyber Situational Awareness in Computer Networks
- Towards a Penetration Testing Framework using Attack Patterns
- On the use of Design Patterns to Capture Memory Corruption Vulnerabilities
- ‘Weird Machine’ Patterns
- Towards a Simulation of Information Security Behaviour in Organisations
- Security Design Patterns in the MASTER Workbench
- Evaluating the Implications of Attack and Security Patterns with Premortems
- An Overview of Artificial Intelligence Based Pattern Matching in a Security and Digital Forensic Context
- Partitional Clustering of Malware using K-Means
- Dynamic Monitoring of Composed Services
- Where has this hard disk been? : Extracting geospatial intelligence from digital storage systems
- Future Directions for Research on Cyberpatterns