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AED: A Novel Approach for Intrusion Detection without Abnormal Samples in Big Data Environment

ACM journal of data and information quality, 2024-09

2024

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A Large-Scale Study of IoT Security Weaknesses and Vulnerabilites in the Wild

ACM transactions on software engineering and methodology, 2024-09

2024

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POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019, p.1795-1812

2019

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Malware Detection on Highly Imbalanced Data through Sequence Modeling

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019, p.37-48

2019

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A Softwarized Intrusion Detection System for IoT-Enabled Smart Healthcare System

ACM transactions on Internet technology, 2023-11

2023

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DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization

ACM transactions on privacy and security, 2024-08

2024

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Online Privacy-Preserving Data-Driven Network Anomaly Detection

IEEE journal on selected areas in communications, 2022-03, Vol.40 (3), p.982-998

2022

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vNIDS: Towards Elastic Security with Safe and Efficient Virtualization of Network Intrusion Detection Systems

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018, p.17-34

2018

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"Kn0w Thy Doma1n Name": Unbiased Phishing Detection Using Domain Name Based Features

Proceedings of the 23nd ACM on Symposium on Access Control Models and Technologies, 2018, p.69-75

2018

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Detecting Ransomware using Support Vector Machines

Workshop Proceedings of the 47th International Conference on Parallel Processing, 2018, p.1-6

2018

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Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis

Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020, p.49-60

2020

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Interactive Assistance in Malware Dissemination Detection and Analysis

Proceedings of the 1st Workshop on Security-Centric Strategies for Combating Information Disorder, 2024, p.1-6

2024

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Controller Area Network Intrusion Prevention System Leveraging Fault Recovery

Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy, 2019, p.63-73

2019

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DitDetector: Bimodal Learning based on Deceptive Image and Text for Macro Malware Detection

Proceedings of the 38th Annual Computer Security Applications Conference, 2022, p.227-239

2022

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Malware Detection in Internet of Things Devices Based on Association Models

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things, 2023, p.743-748

Quoc-Dung, Ngo

2023

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GRAMAC: A Graph Based Android Malware Classification Mechanism

Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy, 2020, p.156-158

2020

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MalPro: A Learning-based Malware Propagation and Containment Modeling

Proceedings of the 2019 ACM SIGSAC Conference on Cloud Computing Security Workshop, 2019, p.45-56

2019

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SMARTGEN: Exposing Server URLs of Mobile Apps With Selective Symbolic Execution

Proceedings of the 26th International Conference on World Wide Web, 2017, p.867-876

2017

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A Framework to Protect Against Phishing Attacks

Proceedings of the 6th International Conference on Engineering & MIS 2020, 2020, p.1-6

2020

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A method for detecting DGA botnet based on semantic and cluster analysis

Proceedings of the Seventh Symposium on Information and Communication Technology, 2016, p.272-277

2016

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TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems

Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018, p.525-536

2018

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Detecting Linking Flooding Attacks using Deep Convolution Network

Proceedings of the 2020 the 3rd International Conference on Computers in Management and Business, 2020, p.70-74

2020

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P2IDF: A Privacy-Preserving based Intrusion Detection Framework for Software Defined Internet of Things-Fog (SDIoT-Fog)

Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking, 2021, p.37-42

2021

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Crowdroid: behavior-based malware detection system for Android

Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices, 2011, p.15-26

2011

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Security Method for Internet of Things Using Machine Learning Against Cyber Attacks

Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control, 2020, p.1-5

2020

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AED: A Novel Approach for Intrusion Detection without Abnormal Samples in Big Data Environment

A Large-Scale Study of IoT Security Weaknesses and Vulnerabilites in the Wild

POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting

Malware Detection on Highly Imbalanced Data through Sequence Modeling

A Softwarized Intrusion Detection System for IoT-Enabled Smart Healthcare System

DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization

Online Privacy-Preserving Data-Driven Network Anomaly Detection

vNIDS: Towards Elastic Security with Safe and Efficient Virtualization of Network Intrusion Detection Systems

"Kn0w Thy Doma1n Name": Unbiased Phishing Detection Using Domain Name Based Features

Detecting Ransomware using Support Vector Machines

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis

Interactive Assistance in Malware Dissemination Detection and Analysis

Controller Area Network Intrusion Prevention System Leveraging Fault Recovery

DitDetector: Bimodal Learning based on Deceptive Image and Text for Macro Malware Detection

Malware Detection in Internet of Things Devices Based on Association Models

GRAMAC: A Graph Based Android Malware Classification Mechanism

MalPro: A Learning-based Malware Propagation and Containment Modeling

SMARTGEN: Exposing Server URLs of Mobile Apps With Selective Symbolic Execution

A Framework to Protect Against Phishing Attacks

A method for detecting DGA botnet based on semantic and cluster analysis

TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems

Detecting Linking Flooding Attacks using Deep Convolution Network

P2IDF: A Privacy-Preserving based Intrusion Detection Framework for Software Defined Internet of Things-Fog (SDIoT-Fog)

Crowdroid: behavior-based malware detection system for Android

Security Method for Internet of Things Using Machine Learning Against Cyber Attacks

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