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Risks and security of internet and systems : 17th International Conference, CRiSIS 2022, Sousse, Tunisia, December 7-9, 2022, Revised selected papers / Slim Kallel, Mohamed Jmaiel, Mohammad Zulkernine, Ahmed Hadj Kacem, Frédéric Cuppens, Nora Cuppens, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 13857.Publisher: Cham, Switzerland : Springer, 2023Description: 1 online resource (xii, 258 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031311086
  • 3031311086
Other title:
  • CRiSIS 2022
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 005.8 23/eng/20230517
LOC classification:
  • TK5105.59 .I58 2022eb
Online resources:
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
Summary: This book constitutes the proceedings of the 17th International Conference on Risks and Security of Internet and Systems, CRiSIS 2022, which took place in Sousse, Tunesia, during December 7-9, 2022. The 14full papers and 4 short papers included in this volume were carefully reviewed and selected from 39 submissions. The papers detail security issues in internet-related applications, networks and systems.
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This book constitutes the proceedings of the 17th International Conference on Risks and Security of Internet and Systems, CRiSIS 2022, which took place in Sousse, Tunesia, during December 7-9, 2022. The 14full papers and 4 short papers included in this volume were carefully reviewed and selected from 39 submissions. The papers detail security issues in internet-related applications, networks and systems.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed May 17, 2023).

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

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