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Machine learning aided Android malware classification

Computers & electrical engineering, 2017-07, Vol.61, p.266-274

2017

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Forensic analysis and security assessment of Android m-banking apps

Australian journal of forensic sciences, 2018-01, Vol.50 (1), p.3-19

2018

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Differentiating Malicious and Benign Android App Operations Using Second-Step Behavior Features

Chinese Journal of Electronics, 2019-09, Vol.28 (5), p.944-952

2019

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GUI-Squatting Attack: Automated Generation of Android Phishing Apps

IEEE transactions on dependable and secure computing, 2021-11, Vol.18 (6), p.2551-2568

2021

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Student commentary using MAD and BigData

AIP Conference Proceedings, 2023, Vol.2492 (1)

2023

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Chat2Quit – Support Platform for Smoking Cessation

Procedia computer science, 2023, Vol.219, p.1309-1315

2023

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Computer Science and Engineering Education for Pre-collegiate Students and Teachers

Burrows, Andrea

2019

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Toward effective mobile encrypted traffic classification through deep learning

Neurocomputing (Amsterdam), 2020-10, Vol.409, p.306-315

2020

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Android-Based Mobile Learning Resource for Chemistry Students in Comprehending the Concept of Redox Reactions

International journal of interactive mobile technologies, 2022-02, Vol.16 (3), p.123-135

2022

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MIMETIC: Mobile encrypted traffic classification using multimodal deep learning

Computer networks (Amsterdam, Netherlands : 1999), 2019-12, Vol.165, p.106944, Article 106944

2019

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XDebloat: Towards Automated Feature-Oriented App Debloating

IEEE transactions on software engineering, 2022-11, Vol.48 (11), p.4501-4520

2022

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Assessing and Improving Malware Detection Sustainability through App Evolution Studies

ACM transactions on software engineering and methodology, 2020-04, Vol.29 (2), p.1-28

Cai, Haipeng

2020

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MobiGUITAR: Automated Model-Based Testing of Mobile Apps

IEEE software, 2015-09, Vol.32 (5), p.53-59

2015

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Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

IEEE eTransactions on network and service management, 2019-06, Vol.16 (2), p.445-458

2019

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Multi-classification approaches for classifying mobile app traffic

Journal of network and computer applications, 2018-02, Vol.103, p.131-145

2018

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Which animation API should I use next? A multi-modal real-time animation API recommendation model for Android apps

IEEE transactions on software engineering, 2023-12, p.1-16

2023

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Visual Image Analysis for a new classification method of bovine carcasses according to EU legislation criteria

Meat science, 2022-01, Vol.183, p.108654-108654, Article 108654

2022

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Intelligent Raspberry-Pi-Based Parking Slot Identification System

EAI endorsed transactions on industrial networks and intelligent systems, 2023-11, Vol.10 (4)

2023

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Amandroid: A Precise and General Inter-component Data Flow Analysis Framework for Security Vetting of Android Apps

ACM transactions on privacy and security, 2018-06, Vol.21 (3), p.1-32

2018

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FallDroid: An Automated Smart-Phone-Based Fall Detection System Using Multiple Kernel Learning

IEEE transactions on industrial informatics, 2019-01, Vol.15 (1), p.35-44

2019

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Low-cost automated GPS, electrical conductivity and temperature sensing device (EC + T Track) and Android platform for water quality monitoring campaigns

HardwareX, 2023-03, Vol.13, p.e00381-e00381, Article e00381

2023

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A smartphone enabled low-cost portable centrifuge integrated with a simple paper-based device for the estimation of plasma-albumin concentration

Microchemical journal, 2024-02, Vol.197, p.109822, Article 109822

2024

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Feature Analysis and Classification of Collusive Android App-Pairs Using DBSCAN Clustering Algorithm

Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, p.86-96

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Poster: TaintGrep: A Static Analysis Tool for Detecting Vulnerabilities of Android Apps Supporting User-defined Rules

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022, p.3507-3509

2022

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XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models

Computers & security, 2024-05, Vol.140, p.103814, Article 103814

2024

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Machine learning aided Android malware classification

Forensic analysis and security assessment of Android m-banking apps

Differentiating Malicious and Benign Android App Operations Using Second-Step Behavior Features

GUI-Squatting Attack: Automated Generation of Android Phishing Apps

Student commentary using MAD and BigData

Chat2Quit – Support Platform for Smoking Cessation

Computer Science and Engineering Education for Pre-collegiate Students and Teachers

Toward effective mobile encrypted traffic classification through deep learning

Android-Based Mobile Learning Resource for Chemistry Students in Comprehending the Concept of Redox Reactions

MIMETIC: Mobile encrypted traffic classification using multimodal deep learning

XDebloat: Towards Automated Feature-Oriented App Debloating

Assessing and Improving Malware Detection Sustainability through App Evolution Studies

MobiGUITAR: Automated Model-Based Testing of Mobile Apps

Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

Multi-classification approaches for classifying mobile app traffic

Which animation API should I use next? A multi-modal real-time animation API recommendation model for Android apps

Visual Image Analysis for a new classification method of bovine carcasses according to EU legislation criteria

Intelligent Raspberry-Pi-Based Parking Slot Identification System

Amandroid: A Precise and General Inter-component Data Flow Analysis Framework for Security Vetting of Android Apps

FallDroid: An Automated Smart-Phone-Based Fall Detection System Using Multiple Kernel Learning

Low-cost automated GPS, electrical conductivity and temperature sensing device (EC + T Track) and Android platform for water quality monitoring campaigns

A smartphone enabled low-cost portable centrifuge integrated with a simple paper-based device for the estimation of plasma-albumin concentration

Feature Analysis and Classification of Collusive Android App-Pairs Using DBSCAN Clustering Algorithm

Poster: TaintGrep: A Static Analysis Tool for Detecting Vulnerabilities of Android Apps Supporting User-defined Rules

XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models

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