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

A state-of-the-art survey of malware detection approaches using data mining techniques

(2018) Alireza Souri et al.   Human-centric Computing and Information Sciences

Structural analysis and detection of android botnets using machine learning techniques

(2017) G. Kirubavathi et al.   International Journal of Information Security

Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment

(2017) Pedro A. Castillo et al.   KNOWLEDGE-BASED SYSTEMS

A survey on dynamic mobile malware detection

(2017) Ping Yan et al.   SOFTWARE QUALITY JOURNAL

Integrating Static and Dynamic Malware Analysis Using Machine Learning

(2015) Reinaldo Jose Mangialardo et al.   IEEE Latin America Transactions

Employing Program Semantics for Malware Detection

(2015) Smita Naval et al.   IEEE Transactions on Information Forensics and Security

Botnet detection techniques: review, future trends, and issues

(2014) Ahmad Karim et al.   Journal of Zhejiang University-SCIENCE C-Computers & Electronics

A Survey on Security for Mobile Devices

(2012) Mariantonietta La Polla et al.   IEEE Communications Surveys and Tutorials

Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry

(2010) Bing Wang et al.   BMC BIOINFORMATICS

Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests

(2010) Li Guo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING