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Table of Contents
Intro
Preface
Organization
Contents
Context Correlation for Automated Dynamic Android App Analysis to Improve Impact Rating of Privacy and Security Flaws
1 Introduction
2 Related Work
2.1 Contribution
3 Dynamic Analysis Environment
4 Context Correlation and Issue Generation
4.1 Privacy Sensitive Data Sources
4.2 Data Sinks
4.3 Graph Generation
4.4 Example Graph
4.5 Graph Analysis: Issue Creation
4.6 Issue Correlation Pass
5 Evaluation
5.1 Overview and Statistics
5.2 Deep Manual Issue Inspection
5.3 Damn Vulnerable App
6 Conclusion and Future Work
References
Errors in the CICIDS2017 Dataset and the Significant Differences in Detection Performances It Makes
1 Introduction
2 Related Works
2.1 Datasets
2.2 Machine Learning Use on CICDS2017
2.3 Previous Criticism on CICIDS2017
3 Errors in the CICIDS2017 Dataset and the CICFlowMeter Tool, and Their Fixes
3.1 CICFlowMeter Issue with Misordered Packets
3.2 Incoherent Timestamps
3.3 Dealing with Data Duplication
3.4 Attack Omission: Labelling Issues and Correction
4 Assessment of the Consequences on Intrusion Detection Models Performances
4.1 Experimental Evaluation Protocol
4.2 Experiments Results
5 Conclusion
References
A Comparative Study of Attribute Selection Algorithms on Intrusion Detection System in UAVs: A Case Study of UKM-IDS20 Dataset
1 Introduction
2 Literature Review
3 Dataset and Methods
3.1 Dataset
3.2 Attribute Selection Algorithms
3.3 Creating MLP Model
4 Modeling
5 Performance Evaluation
5.1 Scenario 1: 15 Feature
5.2 Scenario 2: 20 Feature
6 Conclusion
References
PRIAH: Private Alerts in Healthcare
1 Introduction
2 Background
2.1 Smart Hospital Ecosystem
2.2 Privacy-preserving Strategies
2.3 Alert Detection and Edge Computing Paradigm
2.4 Big Data and Streaming Processing
3 Related Work
3.1 Alert Identification and Dissemination
3.2 Privacy Preservation
3.3 Real-Time Processing of Alerts
4 PRIAH Approach
4.1 PRIAH Components at the Edge
4.2 PRIAH Components at the Server Side
4.3 System Administrator
4.4 End-Users
5 Implementation and Results
5.1 Implementation
5.2 Evaluation
6 Conclusion
Preface
Organization
Contents
Context Correlation for Automated Dynamic Android App Analysis to Improve Impact Rating of Privacy and Security Flaws
1 Introduction
2 Related Work
2.1 Contribution
3 Dynamic Analysis Environment
4 Context Correlation and Issue Generation
4.1 Privacy Sensitive Data Sources
4.2 Data Sinks
4.3 Graph Generation
4.4 Example Graph
4.5 Graph Analysis: Issue Creation
4.6 Issue Correlation Pass
5 Evaluation
5.1 Overview and Statistics
5.2 Deep Manual Issue Inspection
5.3 Damn Vulnerable App
6 Conclusion and Future Work
References
Errors in the CICIDS2017 Dataset and the Significant Differences in Detection Performances It Makes
1 Introduction
2 Related Works
2.1 Datasets
2.2 Machine Learning Use on CICDS2017
2.3 Previous Criticism on CICIDS2017
3 Errors in the CICIDS2017 Dataset and the CICFlowMeter Tool, and Their Fixes
3.1 CICFlowMeter Issue with Misordered Packets
3.2 Incoherent Timestamps
3.3 Dealing with Data Duplication
3.4 Attack Omission: Labelling Issues and Correction
4 Assessment of the Consequences on Intrusion Detection Models Performances
4.1 Experimental Evaluation Protocol
4.2 Experiments Results
5 Conclusion
References
A Comparative Study of Attribute Selection Algorithms on Intrusion Detection System in UAVs: A Case Study of UKM-IDS20 Dataset
1 Introduction
2 Literature Review
3 Dataset and Methods
3.1 Dataset
3.2 Attribute Selection Algorithms
3.3 Creating MLP Model
4 Modeling
5 Performance Evaluation
5.1 Scenario 1: 15 Feature
5.2 Scenario 2: 20 Feature
6 Conclusion
References
PRIAH: Private Alerts in Healthcare
1 Introduction
2 Background
2.1 Smart Hospital Ecosystem
2.2 Privacy-preserving Strategies
2.3 Alert Detection and Edge Computing Paradigm
2.4 Big Data and Streaming Processing
3 Related Work
3.1 Alert Identification and Dissemination
3.2 Privacy Preservation
3.3 Real-Time Processing of Alerts
4 PRIAH Approach
4.1 PRIAH Components at the Edge
4.2 PRIAH Components at the Server Side
4.3 System Administrator
4.4 End-Users
5 Implementation and Results
5.1 Implementation
5.2 Evaluation
6 Conclusion