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A Novel Dynamic Android Malware Detection System With Ensemble Learning

IEEE access, 2018, Vol.6, p.30996-31011

2018

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BejaGNN: behavior-based Java malware detection via graph neural network

The Journal of supercomputing, 2023-09, Vol.79 (14), p.15390-15414

2023

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Comparative effectiveness and safety of bolus vs. continuous infusion of loop diuretics: Results from the MIMIC-III Database

The American journal of the medical sciences, 2023-04, Vol.365 (4), p.353-360

2023

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Enhancing malware analysis sandboxes with emulated user behavior

Computers & security, 2022-04, Vol.115, p.102613, Article 102613

2022

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PatchDB: A Large-Scale Security Patch Dataset

2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021, p.149-160

2021

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GlareShell: Graph learning-based PHP webshell detection for web server of industrial internet

Computer networks (Amsterdam, Netherlands : 1999), 2024-05, Vol.245, p.110406, Article 110406

2024

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DawnGNN: Documentation augmented windows malware detection using graph neural network

Computers & security, 2024-05, Vol.140, p.103788, Article 103788

2024

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GNNDroid: Graph-Learning based Malware Detection for Android Apps with Native Code

IEEE transactions on dependable and secure computing, 2024-08, p.1-18

2024

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Lightweight Security Authentication Mechanism Towards UAV Networks

2019 International Conference on Networking and Network Applications (NaNA), 2019, p.379-384

2019

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A note on Monge–Kantorovich problem

Statistics & probability letters, 2014-01, Vol.84, p.204-211

2014

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PatchRNN: A Deep Learning-Based System for Security Patch Identification

MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM), 2021, p.595-600

2021

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CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications

Machine Learning for Cyber Security, 2019, Vol.11806, p.63-77

2019

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Selecting Critical Data Flows in Android Applications for Abnormal Behavior Detection

Mobile information systems, 2017-01, Vol.2017, p.1-16

2017

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Android Malware Detection via Graph Representation Learning

Mobile information systems, 2021, Vol.2021, p.1-14

2021

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UBER: Combating Sandbox Evasion via User Behavior Emulators

Information and Communications Security, p.34-50

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Measuring the risk value of sensitive dataflow path in Android applications

Security and communication networks, 2016-12, Vol.9 (18), p.5918-5933

2016

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ACDroid: Detecting Collusion Applications on Smart Devices

Science of Cyber Security, p.3-22

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Data-Oriented Instrumentation against Information Leakages of Android Applications

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017, Vol.2, p.485-490

2017

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Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots

Detection of Intrusions and Malware, and Vulnerability Assessment, 2022, Vol.13358, p.197-217

2022

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Compositional Information Flow Verification for Inter Application Communications in Android System

Machine Learning for Cyber Security, 2019, Vol.11806, p.239-252

2019

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HoneyBog: A Hybrid Webshell Honeypot Framework against Command Injection

2021 IEEE Conference on Communications and Network Security (CNS), 2021, p.218-226

2021

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BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024, p.1186-1199

2024

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BinProv: Binary Code Provenance Identification without Disassembly

25th International Symposium on Research in Attacks, Intrusions and Defenses, 2022, p.350-363

2022

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Android Malware Detection Based on Call Graph via Graph Neural Network

2020 International Conference on Networking and Network Applications (NaNA), 2020, p.368-374

2020

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A Mineralized High Strength and Tough Hydrogel for Skull Bone Regeneration

Advanced functional materials, 2017-01, Vol.27 (4), p.np-n/a

2017

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A Novel Dynamic Android Malware Detection System With Ensemble Learning

BejaGNN: behavior-based Java malware detection via graph neural network

Comparative effectiveness and safety of bolus vs. continuous infusion of loop diuretics: Results from the MIMIC-III Database

Enhancing malware analysis sandboxes with emulated user behavior

PatchDB: A Large-Scale Security Patch Dataset

GlareShell: Graph learning-based PHP webshell detection for web server of industrial internet

DawnGNN: Documentation augmented windows malware detection using graph neural network

GNNDroid: Graph-Learning based Malware Detection for Android Apps with Native Code

Lightweight Security Authentication Mechanism Towards UAV Networks

A note on Monge–Kantorovich problem

PatchRNN: A Deep Learning-Based System for Security Patch Identification

CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications

Selecting Critical Data Flows in Android Applications for Abnormal Behavior Detection

Android Malware Detection via Graph Representation Learning

UBER: Combating Sandbox Evasion via User Behavior Emulators

Measuring the risk value of sensitive dataflow path in Android applications

ACDroid: Detecting Collusion Applications on Smart Devices

Data-Oriented Instrumentation against Information Leakages of Android Applications

Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots

Compositional Information Flow Verification for Inter Application Communications in Android System

HoneyBog: A Hybrid Webshell Honeypot Framework against Command Injection

BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning

BinProv: Binary Code Provenance Identification without Disassembly

Android Malware Detection Based on Call Graph via Graph Neural Network

A Mineralized High Strength and Tough Hydrogel for Skull Bone Regeneration

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