Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Radu Marian Portase"'
Publikováno v:
Sensors, Vol 24, Iss 19, p 6393 (2024)
The rapid increase in new malware necessitates effective detection methods. While machine learning techniques have shown promise for malware detection, most research focuses on identifying malware through the content of executable files or full behav
Externí odkaz:
https://doaj.org/article/b484c354fa0b4a1784381f10cf45254f
Publikováno v:
Sensors, Vol 24, Iss 17, p 5601 (2024)
Cybercriminals have become an imperative threat because they target the most valuable resource on earth, data. Organizations prepare against cyber attacks by creating Cyber Security Incident Response Teams (CSIRTs) that use various technologies to mo
Externí odkaz:
https://doaj.org/article/4053a1b720f3421e9f45cf0fc50bb4f3
Publikováno v:
Sensors, Vol 24, Iss 16, p 5118 (2024)
Behavioral malware detection is based on attributing malicious actions to processes. Malicious processes may try to hide by changing the behavior of other benign processes to achieve their goals. We showcase how Component Object Model (COM) and Windo
Externí odkaz:
https://doaj.org/article/4abed4bb1aaa45de9c3c82d78fd075ba
Autor:
Adrian Colesa, Radu-Marian Portase
Publikováno v:
ISPDC
Detecting malware during execution using machine learning models presents some hard-to-solve problems relating to data set construction seldom discussed in the literature. We identify, name these problems and show our solutions to them in the form of
Publikováno v:
ICT Systems Security and Privacy Protection ISBN: 9783319998275
SEC
SEC
The constant evolution of malware, both in number and complexity, represents a severe threat to individual users and organizations. This is increasing the need for more advanced security solutions, such as dynamic behavior-based malware detection, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3929894a5cb00c2870277c344dac48a
https://doi.org/10.1007/978-3-319-99828-2_26
https://doi.org/10.1007/978-3-319-99828-2_26
Publikováno v:
ICT Systems Security and Privacy Protection ISBN: 9783319584683
SEC
SEC
Fueled by a recent boost in revenue, cybercriminals are developing increasingly sophisticated and advanced malicious applications. This new generation of malware is able to avoid most of the existing detection methods. Even behavioral detection solut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc0e0459570d82b2d8c8fab72a514c25
https://doi.org/10.1007/978-3-319-58469-0_3
https://doi.org/10.1007/978-3-319-58469-0_3