
Critical Infrastructure Protection IX
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Content
- Intro
- Contents
- Contributing Authors
- Preface
- THEMES AND ISSUES
- A MODEL FOR CHARACTERIZING CYBERPOWER
- 1. Introduction
- 2. Related Work
- 3. Unified Cyberspace Model
- 4. Defining Cyberpower
- 4.1 Cyberpower
- 4.2 State and Non-State Actors
- 5. Characterizing Cyberpower
- 5.1 Cyber Attack Attributes
- 5.2 Cyber Attack Evaluation
- 6. Conclusions
- References
- CYBER ATTACKS AND POLITICAL EVENTS: THE CASE OF THE OCCUPY CENTRAL CAMPAIGN
- 1. Introduction
- 2. Initial Violent Attacks
- 3. Silent Attacks on Protest Supporters
- 4. Violent Attacks on Protest Supporters
- 5. Violent Attacks on the Government
- 6. Attack Characteristics
- 7. Motivation for the Cyber War Framework
- 8. Cyber Warfare Framework
- 9. Conclusions
- References
- ON THE SHARING OF CYBER SECURITY INFORMATION
- 1. Introduction
- 2. Definitions
- 3. Previous Work
- 4. Analytic Framework for Information Sharing
- 4.1 Information Exchange Classes and Elements
- 4.2 Framework Levels
- 4.3 Incident Management Cycle
- 4.4 Mapping the Elements to the Grid
- 5. Standards and Standardization Efforts
- 6. Conclusions
- References
- CONTROL SYSTEMS SECURITY
- MODELING MESSAGE SEQUENCES FOR INTRUSION DETECTION IN INDUSTRIAL CONTROL SYSTEMS
- 1. Introduction
- 2. Background
- 3. Sequence Attacks
- 4. Sequences and Sequence Events
- 5. Modeling Message Sequences
- 6. Experiments and Analysis
- 6.1 Modbus
- 6.2 MMS
- 6.3 IEC104
- 6.4 Discussion
- 7. Related Work
- 8. Conclusions
- References
- INDUSTRIAL CONTROL SYSTEM FINGERPRINTING AND ANOMALY DETECTION
- 1. Introduction
- 2. Related Work
- 3. Background
- 4. Experimental Setup
- 5. Fingerprinting Methodology
- 6. Fingerprint-Based Anomaly Detection
- 7. Conclusions
- References
- TRAFFIC-LOCALITY-BASED CREATION OF FLOW WHITELISTS FOR SCADA NETWORKS
- 1. Introduction
- 2. Background
- 2.1 Network Flow and Flow Whitelists
- 2.2 Traffic Summary
- 2.3 Degree Centrality
- 2.4 Locally Frequently-Used Ports
- 3. Flow Whitelist Creation
- 3.1 Overview
- 3.2 Phase 1: Preparation
- 3.3 Phase 2: Generation
- 3.4 Phase 3: Inspection
- 4. Experimental Results
- 4.1 Phase 1: Preparation
- 4.2 Phase 2: Generation
- 4.3 Phase 3: Inspection
- 4.4 Discussion
- 5. Conclusions
- References
- A SYMBOLIC HONEYNET FRAMEWORK FOR SCADA SYSTEM THREAT INTELLIGENCE
- 1. Introduction
- 2. Related Work
- 3. SCyPH Framework
- 3.1 Overview
- 3.2 Honeynet Layer
- 3.3 Interaction Layer
- 3.4 Infrastructure Modeling Layer
- 3.5 Logging Layer
- 4. GridPot
- 4.1 IEC 61850
- 4.2 Experiment Design
- 4.3 Infrastructure Modeling
- 4.4 Logging and Anomaly Detection
- 4.5 Experimental Results
- 5. Conclusions
- References
- ENHANCING A VIRTUAL SCADA LABORATORY USING SIMULINK
- 1. Introduction
- 2. Related Work
- 3. SCADA Laboratory Overview
- 3.1 Process Simulation
- 3.2 Programmable Logic Controller Simulation
- 3.3 Human-Machine Interface
- 4. SCADA Laboratory Enhancements
- 5. Experimental Results
- 5.1 Normal Operation
- 5.2 Startup Operation
- 5.3 Attack Operation
- 6. Conclusions
- References
- HOW INDUSTRIAL CONTROL SYSTEM SECURITY TRAINING IS FALLING SHORT
- 1. Introduction
- 2. Background
- 3. Gap Analysis
- 3.1 Training Facility Evaluation
- 3.2 Training Curricula Evaluation
- 4. Recommendations
- 4.1 Training Facilities
- 4.2 Training Curricula
- 5. Conclusions
- References
- CYBER-PHYSICAL SYSTEMS SECURITY
- RUNTIME INTEGRITY FOR CYBERPHYSICAL INFRASTRUCTURES
- 1. Introduction
- 2. Related Work
- 3. Dynamic Integrity
- 4. Trusted Infrastructures
- 5. Dynamic Software Integrity
- 6. Constraining Software by Calibration
- 6.1 Design Constraints
- 6.2 Dynamic Constraints
- 7. Dynamic Call Integrity via Calibration
- 7.1 Experimental Setup
- 7.2 Evaluation and Calibration
- 7.3 Parameter Length
- 7.4 Call Parameter Parity
- 8. Conclusions
- References
- SECURITY CHALLENGES OF ADDITIVE MANUFACTURING WITH METALS AND ALLOYS
- 1. Introduction
- 2. Related Work
- 3. Additive Manufacturing Threat Surface
- 3.1 Attack Vectors
- 3.2 Impact of Manufacturing Parameters
- 4. Conclusions
- References
- USING INFORMATION FLOW METHODS TO SECURE CYBER-PHYSICAL SYSTEMS
- 1. Introduction
- 2. Background
- 2.1 Information Flow Security
- 2.2 Physical System Security
- 2.3 Cyber System Security
- 2.4 Information Flow as Information Leakage
- 3. Securing Cyber-Physical Systems
- 3.1 Physical Security Analysis
- 3.2 Cyber Security Analysis
- 3.3 Complications
- 4. Nondeducibility and Security
- 4.1 Deducibility vs. Nondeducibility
- 4.2 Definitions
- 5. Nondeducibility Secure Attacks
- 5.1 Drive-by-Wire Car
- 5.2 Cream Separator
- 6. Conclusions
- References
- INFRASTRUCTURE SECURITY
- EVALUATING ITU-T G.9959 BASED WIRELESS SYSTEMS USED IN CRITICAL INFRASTRUCTURE ASSETS
- 1. Introduction
- 2. ITU-T G.9959-Based Z-Wave Protocol
- 2.1 PHY Layer
- 2.2 MAC Layer
- 2.3 Routing Layer
- 2.4 Application Layer
- 3. ITU-T G.9959/Z-Wave Attack Classes
- 3.1 Reconnaissance Attacks
- 3.2 Denial-of-Service Attacks
- 3.3 Packet Injection Attacks
- 4. Passive Reconnaissance Techniques
- 4.1 Controller-Device Pairing
- 4.2 Controller-Specific Behavior
- 4.3 Device-Specific ACK Times
- 5. Conclusions
- References
- IMPLEMENTING CYBER SECURITY REQUIREMENTS AND MECHANISMS IN MICROGRIDS
- 1. Introduction
- 2. Security Requirements for Microgrids
- 3. µGridSec Methodology
- 3.1 Information and Communications
- 3.2 µGridSec Components and Details
- 4. Implementing µGridSec
- 5. Cyber Security Requirements
- 6. Threat Model
- 6.1 Unauthorized Access
- 6.2 Privilege Escalation
- 6.3 Spoofing
- 6.4 Denial-of-Service
- 6.5 Software and Firmware Integrity
- 6.6 Unauthorized Network Access
- 6.7 Repudiation
- 7. Related Work
- 8. Conclusions
- References
- A CYBER SECURITY ARCHITECTURE FOR MICROGRID DEPLOYMENTS
- 1. Introduction
- 2. Problem Description
- 3. SNAPE Cyber Security Architecture
- 3.1 Security Properties
- 3.2 Architecture
- 3.3 OPC UA Integration
- 4. SNAPE Threat Model Analysis
- 5. Discussion
- 6. Related Work
- 7. Conclusions
- References
- INFRASTRUCTURE MODELING AND SIMULATION
- ALLOCATION AND SCHEDULING OF FIREFIGHTING UNITS IN LARGE PETROCHEMICAL COMPLEXES
- 1. Introduction
- 2. Related Work
- 3. Proposed Decision Support System
- 3.1 Fire Severity Model
- 3.2 Production Loss Model
- 3.3 Optimization Agent
- 4. Case Study
- 4.1 Framework Description
- 4.2 Results and Analysis
- 5. Conclusions
- References
- SITUATIONAL AWARENESS USING DISTRIBUTED DATA FUSION WITH EVIDENCE DISCOUNTING
- 1. Introduction
- 2. Overview of the Methodology
- 3. Data Fusion
- 4. Data Fusion Methodology
- 4.1 Motivation
- 4.2 Weighted Digraphs
- 4.3 Agent Interactions
- 4.4 Graph Construction
- 5. Simulation Results
- 5.1 Static Network Topology
- 5.2 Dynamic Network Topology
- 6. Conclusions
- References
- RISK AND IMPACT ASSESSMENT
- USING CENTRALITY MEASURES IN DEPENDENCY RISK GRAPHS FOR EFFICIENT RISK MITIGATION
- 1. Introduction
- 2. Graph Centrality Analysis
- 3. Related Work
- 4. Centrality Measures for Dependency Graphs
- 4.1 Centrality Measures for Dependency Graphs
- 4.2 Centrality Measures for Risk Mitigation
- 5. Experimental Results
- 5.1 Risk Mitigation Based on Centrality
- 5.2 Efficient Risk Mitigation Algorithm
- 6. Conclusions
- References
- ASSESSING CYBER RISK USING THE CISIApro SIMULATOR
- 1. Introduction
- 2. Related Work
- 2.1 Infrastructure Modeling and Simulation
- 2.2 Cyber Attack Impact Assessment
- 3. CISIApro Simulator
- 3.1 Mixed Holistic Reductionist Approach
- 3.2 Simulator Description
- 4. Case Study
- 5. Simulation Results
- 6. Conclusions
- References
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