Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier

A few-shot meta-learning based siamese neural network using entropy features for ransomware classification

(2022) Jinting Zhu et al.   COMPUTERS & SECURITY

A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images

(2021) Anabia Sohail et al.   Scientific Reports

A novel few-shot malware classification approach for unknown family recognition with multi-prototype modeling

(2021) Peng Wang et al.   COMPUTERS & SECURITY

Ant Colony Optimization based Light weight Binary Search for efficient signature matching to filter Ransomware

(2021) Sreelaja N.K.   APPLIED SOFT COMPUTING

A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems

(2020) Mohammad Masdari et al.   APPLIED SOFT COMPUTING

IoT malicious traffic identification using wrapper-based feature selection mechanisms

(2020) Muhammad Shafiq et al.   COMPUTERS & SECURITY

Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city

(2020) Muhammad Shafiq et al.   Future Generation Computer Systems-The International Journal of eScience

Deep learning based emotion analysis of microblog texts

(2020) Dongliang Xu et al.   Information Fusion

CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

(2020) Muhammad Shafiq et al.   IEEE Internet of Things Journal

A Novel Web Attack Detection System for Internet of Things via Ensemble Classification

(2020) Chaochao Luo et al.   IEEE Transactions on Industrial Informatics

RAMD: registry-based anomaly malware detection using one-class ensemble classifiers

(2019) Asghar Tajoddin et al.   APPLIED INTELLIGENCE

Optimization of Molecules via Deep Reinforcement Learning

(2019) Zhenpeng Zhou et al.   Scientific Reports

Dynamic Malware Analysis in the Modern Era—A State of the Art Survey

(2019) Ori Or-Meir et al.   ACM COMPUTING SURVEYS

Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes

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

A Distributed Deep Learning System for Web Attack Detection on Edge Devices

(2019) Zhihong Tian et al.   IEEE Transactions on Industrial Informatics

Data imbalance in classification: Experimental evaluation

(2019) Fadi Thabtah et al.   INFORMATION SCIENCES

Similarity-based Android malware detection using Hamming distance of static binary features

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

Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions

(2018) Bander Ali Saleh Al-rimy et al.   COMPUTERS & SECURITY

AutoImpute: Autoencoder based imputation of single-cell RNA-seq data

(2018) Divyanshu Talwar et al.   Scientific Reports

A Survey on Zero-Day Polymorphic Worm Detection Techniques

(2014) Ratinder Kaur et al.   IEEE Communications Surveys and Tutorials

A novel hybrid intrusion detection method integrating anomaly detection with misuse detection

(2013) Gisung Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Intrusion detection in computer networks by a modular ensemble of one-class classifiers

(2006) Giorgio Giacinto et al.   Information Fusion