Results 131 to 140 of about 46,394 (182)

Scalable architecture for autonomous malware detection and defense in software-defined networks using federated learning approaches. [PDF]

Sci Rep
Ranpara R, Patel SK, Kumar OP, Al-Zahrani FA.   +3 more
europepmc   +1 more source

Logically explainable malware detection

Malware detection is a challenging application due to the rapid evolution of attack techniques, and traditional signature-based approaches struggle with the high volume of malware samples. Machine learning approaches face such limitation, but lack a clear interpretability, whereas interpretable models often underperform.
Anthony, Peter, Giannini, Francesco, Diligenti, Michelangelo, Gori, Marco, Homola, Martin, Balogh, Stefan, Mojžiš, Ján   +6 more
openaire   +1 more source

LEDA-Layered Event-Based Malware Detection Architecture. [PDF]

Sensors (Basel)
Portase RM, Portase RL, Colesa A, Sebestyen G.   +3 more
europepmc   +1 more source

Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU. [PDF]

PLoS One
Kauser Sk H, Anu V M.
europepmc   +1 more source

Enhancing malware detection with feature selection and scaling techniques using machine learning models. [PDF]

Sci Rep
Hasan R, Biswas B, Samiun M, Saleh MA, Prabha M, Akter J, Joya FH, Abdullah M.   +7 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

Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms. [PDF]

Sci Rep
Alohali MA, Alahmari S, Aljebreen M, Asiri MM, Miled AB, Albouq SS, Alrusaini O, Alqazzaz A.   +7 more
europepmc   +1 more source

Process control block information dataset: Towards android malware detection. [PDF]

Data Brief
Alawneh H, Alkofahi H.
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

Malware Detection for Internet of Things Using One-Class Classification. [PDF]

Sensors (Basel)
Shi T, McCann RA, Huang Y, Wang W, Kong J.   +4 more
europepmc   +1 more source