Results 141 to 150 of about 11,847 (201)

Android Malware Detection And Prevention

International Journal of Recent Trends in Engineering and Research, 2017
openaire   +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

BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices. [PDF]

PeerJ Comput Sci
Şafak E, Doğru İA, Barışçı N, Atacak İ.   +3 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

GEAAD: generating evasive adversarial attacks against android malware defense. [PDF]

Sci Rep
Ahmad N, Saleem Rana A, Jalil Hadi H, Bashir Hussain F, Chakrabarti P, Alshara MA, Chakrabarti T.   +6 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

An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning. [PDF]

Sensors (Basel)
Alqahtani A, Ohemeng MO, Sheldon FT.
europepmc   +1 more source

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

MALITE: Lightweight Malware Detection and Classification for Constrained Devices. [PDF]

IEEE Trans Emerg Top Comput
Anand S, Mitra B, Dey S, Rao A, Dhar R, Vaidya J.   +5 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