Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning

A Novel GAPG Approach to Automatic Property Generation for Formal Verification: The GAN Perspective

(2022) Honghao Gao et al.   ACM Transactions on Multimedia Computing Communications and Applications

Deep Learning Model with Sequential Features for Malware Classification

(2022) Xuan Wu et al.   Applied Sciences-Basel

The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems

(2022) Honghao Gao et al.   IEEE Transactions on Computational Social Systems

A Hybrid Deep Transfer Learning Model With Kernel Metric for COVID-19 Pneumonia Classification Using Chest CT Images

(2022) Jianyuan Li et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

End-to-end malware detection for android IoT devices using deep learning

(2020) Zhongru Ren et al.   Ad Hoc Networks

A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence

(2020) Eslam Amer et al.   COMPUTERS & SECURITY

Secure Timestamp-Based Mutual Authentication Protocol for IoT Devices Using RFID Tags

(2020) Aakanksha Tewari et al.   International Journal on Semantic Web and Information Systems

Long short-term memory-based Malware classification method for information security

(2019) Jungho Kang et al.   COMPUTERS & ELECTRICAL ENGINEERING

Parallelizing Word2Vec in Shared and Distributed Memory

(2019) Shihao Ji et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Static malware detection and attribution in android byte-code through an end-to-end deep system

(2019) Muhammad Amin et al.   Future Generation Computer Systems-The International Journal of eScience

Machine learning-assisted signature and heuristic-based detection of malwares in Android devices

(2018) Zahoor-Ur Rehman et al.   COMPUTERS & ELECTRICAL ENGINEERING

DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model

(2018) Hui-Juan Zhu et al.   NEUROCOMPUTING

Classification of ransomware families with machine learning based on N-gram of opcodes

(2018) Hanqi Zhang et al.   Future Generation Computer Systems-The International Journal of eScience

Hybrids of support vector machine wrapper and filter based framework for malware detection

(2016) Shamsul Huda et al.   Future Generation Computer Systems-The International Journal of eScience

RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners

(2016) Qiguang Miao et al.   IEEE Transactions on Neural Networks and Learning Systems

Support vector machines under adversarial label contamination

(2015) Huang Xiao et al.   NEUROCOMPUTING