An efficient malware detection approach with feature weighting based on Harris Hawks optimization

Android Malware Detection through Machine Learning on Kernel Task Structures

(2021) Xinning Wang et al.   NEUROCOMPUTING

An effcient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection

(2021) Kashif Hussain et al.   EXPERT SYSTEMS WITH APPLICATIONS

Distracted driver detection using compressed energy efficient convolutional neural network

(2021) Jafar A. Alzubi et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A deep learning- based frechet and dirichlet model for intrusion detection in IWSN

(2021) Omar A. Alzubi   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Android botnet detection using machine learning models based on a comprehensive static analysis approach

(2021) Wadi’ Hijawi et al.   Journal of Information Security and Applications

An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information

(2021) Bilal Al-Ahmad et al.   Symmetry-Basel

SysDroid: a dynamic ML-based android malware analyzer using system call traces

(2020) A. Ananya et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

An optimal pruning algorithm of classifier ensembles: dynamic programming approach

(2020) Omar A. Alzubi et al.   NEURAL COMPUTING & APPLICATIONS

Can machine learning model with static features be fooled: an adversarial machine learning approach

(2020) Rahim Taheri et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Optimizing Extreme Learning Machines Using Chains of Salps for Efficient Android Ransomware Detection

(2020) Hossam Faris et al.   Applied Sciences-Basel

An Android Malware Detection Model Based on DT-SVM

(2020) Min Yang et al.   Security and Communication Networks

Harris hawks optimization: Algorithm and applications

(2019) Ali Asghar Heidari et al.   Future Generation Computer Systems-The International Journal of eScience

Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context

(2019) Ala’ M Al-Zoubi et al.   JOURNAL OF INFORMATION SCIENCE

DL-Droid: Deep learning based android malware detection using real devices

(2019) Mohammed K. Alzaylaee et al.   COMPUTERS & SECURITY

Research on data mining of permissions mode for Android malware detection

(2018) Chao Wang et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Significant Permission Identification for Machine-Learning-Based Android Malware Detection

(2018) Jin Li et al.   IEEE Transactions on Industrial Informatics

Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts

(2018) Ala’ M. Al-Zoubi et al.   KNOWLEDGE-BASED SYSTEMS

Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion

(2017) Xin Wang et al.   Security and Communication Networks

A Systematic Review of Healthcare Applications for Smartphones

(2012) Abu Saleh Mohammad Mosa et al.   BMC Medical Informatics and Decision Making