Results 121 to 130 of about 31,732 (193)

An accurate approach to discriminate android colluded malware from single app malware using permissions intelligence. [PDF]

Sci Rep
Mawoh RY, Wacka JBA, Tchakounte F, Fachkha C, Kolyang.   +4 more
europepmc   +1 more source

Machine learning models and dimensionality reduction for improving the Android malware detection. [PDF]

PeerJ Comput Sci
Morán P, Robles-Gómez A, Duque A, Tobarra L, Pastor-Vargas R.   +4 more
europepmc   +1 more source

Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]

Sci Rep
Kirubavathi G, Padma Mayuri B, Pranathasree S, Alagappan R, Ajayan A, Ismael WM, Rehman AU.   +6 more
europepmc   +1 more source

Tackling fraud detection with an enhanced Kepler optimization and ghost opposition-based learning. [PDF]

Front Artif Intell
Egami RH, Abd El-Mageed AA, Gafar M, Abohany AA.   +3 more
europepmc   +1 more source

A Cybersecurity NER Method Based on Hard and Easy Labeled Training Data Discrimination. [PDF]

Sensors (Basel)
Ye L, Wu Y, Zhang H, Ge M.
europepmc   +1 more source

Orchestrating machine learning models in a swarm architecture for IoT inline malware detection. [PDF]

Sci Rep
Hanif M, Munir EU, Rehan MM, Ahmad SG, Ayyub K, Ramzan N.   +5 more
europepmc   +1 more source

Data trace as the scientific foundation for trusted metrological data: a review for future metrology direction. [PDF]

PeerJ Comput Sci
Cao Z, Gao B, Liu Z, Xiong X, Wang B, Pei C.   +5 more
europepmc   +1 more source

Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data. [PDF]

Sensors (Basel)
Naseer M, Ullah F, Ijaz S, Naeem H, Alsirhani A, Alwakid GN, Alomari A.   +6 more
europepmc   +1 more source

MINDPRES: A Hybrid Prototype System for Comprehensive Data Protection in the User Layer of the Mobile Cloud. [PDF]

Sensors (Basel)
Ogwara NO, Petrova K, Yang MLB, MacDonell SG.   +3 more
europepmc   +1 more source

Multimodal malware classification using proposed ensemble deep neural network framework. [PDF]

Sci Rep
Nazim S, Alam MM, Rizvi S, Mustapha JC, Hussain SS, Su'ud MM.   +5 more
europepmc   +1 more source