Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Alejandro Guerra-Manzanares"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Self-supervised learning methods for medical images primarily rely on the imaging modality during pretraining. Although such approaches deliver promising results, they do not take advantage of the associated patient or scan information colle
Externí odkaz:
https://doaj.org/article/f8f7b9d27cc94b60812525bda035cbf7
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100357- (2022)
Most of the proposed solutions using dynamic features for Android malware detection collect and test their systems using a single and particular data collection device, either a real device or an emulator. The results obtained using these particular
Externí odkaz:
https://doaj.org/article/76ce6ec745914d368617ca3d1909017d
Publikováno v:
Journal of Computer Virology and Hacking Techniques. 19:65-96
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030948993
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13fe0a8ffc1a2b1f796e692d5838e699
https://doi.org/10.1007/978-3-030-94900-6_11
https://doi.org/10.1007/978-3-030-94900-6_11
Publikováno v:
Computers & Security. 124:102998
Publikováno v:
Computers & Security. 122:102835
Publikováno v:
Expert Systems with Applications. 206:117200
Publikováno v:
Computers & Security. 120:102757
Publikováno v:
Computers & Security. 110:102399
Android malware evolution has been neglected by the available data sets, thus providing a static snapshot of a non-stationary phenomenon. The impact of the time variable has not had the deserved attention by the Android malware research, omitting its
Publikováno v:
CW
Timely detection of intrusions is essential in IoT networks, considering the massive attacks launched by the huge-sized botnets which are composed of insecure devices. Machine learning methods have demonstrated promising results for the detection of