دانلود کتاب Selected Papers from the 12th International Networking Conference: INC 2020

فهرست مطالب :

Message from Conference Chairs
Contents
Security
Malware Behavior Through Network Trace Analysis
1 Introduction
2 Background and Related Work
2.1 Static Analysis
2.2 Dynamic Analysis on Host
2.3 Dynamic Analysis of Network Behavior
3 Capturing Malware Network Behavior
3.1 Analysis Environment
4 Sample Embedding
4.1 Application Data Unit (ADU)
4.2 Payload Byte Frequency
4.3 Malware Similarity
5 Evaluation of Contemporary Malware
5.1 Experiment Setup
6 Clustering Flow Embeddings Using Machine Learning
6.1 Clustering by ADU Sequence
6.2 Clustering by Payload Sizes
6.3 Sample Diversity
7 Discussion and Future Work
8 Conclusion
References
RC4D: A New Development of RC4 Encryption Algorithm
1 Introduction
2 Literature Review
3 Description of RC4
4 The Cryptanalysis of RC4
5 Modified RC4 Algorithm
6 Performance Evaluation
6.1 Distant-Equalities Statistical Test
6.2 Randomness Test
7 Implementation
8 Conclusions
References
A Novel Multimodal Biometric Authentication System Using Machine Learning and Blockchain
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Biometrics Acquisition
3.2 Biometrics Verification and Normalisation
3.3 Machine Learning and Confidence Level
3.4 Blockchain
4 Experimental Analysis
4.1 Experiment Setup
4.2 Discussion and Results
5 Conclusion
References
User Attribution Through Keystroke Dynamics-Based Author Age Estimation
1 Introduction
2 Background
3 Method
3.1 Keystroke Dynamics Dataset
3.2 Feature Extraction and Feature Selection
3.3 Experimental Procedure and Validation of Models
4 Experiments and Results
4.1 Evaluation and Comparison of Results
5 Future Research Directions
6 Conclusion
References
802.11 Man-in-the-Middle Attack Using Channel Switch Announcement
1 Introduction
2 Previous Attacks and Limitations
2.1 ARP Poisoning
2.2 Deauthentication
2.3 Disassociation Attack
2.4 Jamming Attack
3 Testbed and Results
3.1 Scenario Description
3.2 Rogue AP’s Received Signal Strength Higher Than Legitimate AP
3.3 Legitimate AP’s Received Signal Strength Higher Than Rogue AP
4 Conclusions
References
IoT
Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)
1 Introduction
2 Dataset
3 Experiments and Results
4 Conclusion and Future Work
References
Smart Lamp or Security Camera? Automatic Identification of IoT Devices
1 Introduction
2 Motivation
3 Device Classification
4 Proof of Concept
4.1 Classification of Device Type
5 Evaluation
6 Legal Issues
7 Discussion
8 Related Work
9 Conclusion
References
Intelligent Self-reliant Cyber-Attacks Detection and Classification System for IoT Communication Using Deep Convolutional Neural Network
1 Introduction
2 Dataset of Cyber-Attacks
3 System Modeling
3.1 Implementation of Feature Engineering (FE) Subsystem
3.2 Implementation of Feature Learning (FL) Subsystem
3.3 Implementation of Detection and Classification (DC) Subsystem
3.4 System Integration
4 Simulation Environment
5 Results and Discussion
6 Conclusions and Future Directions
References
On Federated Cyber Range Network Interconnection
1 Introduction
2 Related Works
3 CR Interconnection Framework
3.1 Framework Metrics
3.2 CR Federation Requirements
3.3 Interconnection Requirements
3.4 Interconnection Techniques
3.5 Network Architecture
4 Results
4.1 Tests Parameters
5 Conclusions
References
Routing and Transport
Multi-level Hierarchical Controller Placement in Software Defined Networking
1 Introduction
2 General Formulation of the Controller Placement Problem
2.1 Average-Case Latency
2.2 Worst-Case Latency
2.3 Formulation Constraints
3 Proposed Architecture and Methodology
4 Evaluation and Results
4.1 Western European NRENs Topology
4.2 First Optimization: Clustering-Based
4.3 Second Optimization: Master Controllers (MCs) Placement
4.4 Applicability Case Study
5 Conclusion
References
A Novel Congestion Avoidance Algorithm Using Two Routing Algorithms and Fast-Failover Group Table in SDN Networks
1 Introduction
2 Related Works
3 Proposed Algorithm
4 Performance Evaluation
4.1 Test Environment
4.2 Base Algorithm
4.3 Sample Topology
4.4 TCP Mode Performance
4.5 UDP Mode Performance
5 Conclusions
References
Impact of TCP Congestion Control Algorithms on HTTP/x Performance
1 Introduction
1.1 Motivation and Goals
2 Background and Related Work
3 Methodology
4 Experiments
4.1 Data
5 Results
5.1 continuous_flow Dataset
5.2 flags Dataset
5.3 Twitter Dataset
5.4 Netflix Dataset
5.5 Summary by Dataset
6 Conclusions
References
Wireless Networking
Design and Preliminary Functionality Test of Road Network Traffic Monitoring System Based on Indoor SDWMN In-band Architecture
1 Introduction
2 Design of Indoor SDWMN In-band Architecture
2.1 Design of Indoor SDWMN In-band Testbed
2.2 Implementation of Indoor SDWMN In-band Testbed
3 Functionality Testing of Indoor SDWMN In-band Testbed
4 Conclusion
References
Power Optimized Source-Based-Jamming for Secure Transmission through Untrusted AF Relays
1 Introduction
2 System Description and Proposed Transmission Scheme
3 Secrecy Rate Analysis
3.1 Relay Selection
3.2 System Secrecy Rate
3.3 Secrecy Rate of Worst Case Scenario (WC)
4 Nelder-Mead Power Optimization Method (N-M)
5 Results and Discussion
6 Conclusions
References
Cyber Security Attacks on Identity and Location of Vehicle Ad-Hoc Networks
1 Introduction
1.1 VANET Architecture
1.2 VANET Communication
1.3 Methodology
1.4 Literature Review
2 Cyber Security Attack on Identity and Positioning
2.1 Single-Vehicle Faked Location (SVFL)
2.2 Multi-vehicle Faked Location (MVFL)
2.3 Single-Path Faked Location (SPFL)
2.4 Multi-path Faked Location (MPFL)
3 Cybersecurity Attack Experiment
3.1 Configuration of the Experiment on the Simulation
3.2 The Machine Learning Software
3.3 Classification Algorithms
3.4 The Generated Dataset
4 Cybersecurity Attack Results
4.1 Naïve Bayes Classifier Results
4.2 Random Tree Classifier Results
4.3 LogitBoost Classifier Results
4.4 Bagging Classifier Results
4.5 J48 Classifier Result
5 Discussion and Results
5.1 Time and Accuracy Performance
5.2 VANET Attack Detection Flowchart
5.3 The Generated Dataset
5.4 Detection’s Time and Accuracy Performance
6 Conclusion and Future Work
References
Challenges in Developing a Wireless Sensor Network for an Agricultural Monitoring and Decision System
1 Introduction
2 Relevance of WSNs in the Field of Agriculture Monitoring and Decision Systems
3 Requirements and Constraints
4 Challenges
5 Proposed Approach
5.1 Sensor Selection
5.2 Sensor Node Concept
5.3 Energy Management and Supply Concept
5.4 Data Management
6 Conclusion
References
Author Index