Výsledky vyhledávání - "Gheorghe Hajmasan"

Bytecode Heuristic Signatures for Detecting Malware Behavior

Autor: Alexandra Mondoc, Octavian Cret, Gheorghe Hajmasan

Publikováno v: NextComp

For a long time, the most important approach for detecting malicious applications was the use of static, hash-based signatures. This approach provides a fast response time, has a low performance overhead and is very stable due to its simplicity. Howe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ab124ef82f5cb6a48e5a3430bd99287f
https://doi.org/10.1109/nextcomp.2019.8883668

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Performance Improvements in Behavior Based Malware Detection Solutions

Autor: Radu-Marian Portase, Gheorghe Hajmasan, Alexandra Mondoc, Octavian Creţ

Publikováno v: ICT Systems Security and Privacy Protection ISBN: 9783319998275
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

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Dynamic behavior evaluation for malware detection

Autor: Gheorghe Hajmasan, Octavian Cret, Alexandra Mondoc

Publikováno v: 2017 5th International Symposium on Digital Forensic and Security (ISDFS).

The number of malicious applications, their diversity and complexity is continuously growing. To provide the best protection against these advanced threats, there is a need to develop proactive detection solutions, that are able to detect malware bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::60331d2afdf223b9be147adeee0295f0
https://doi.org/10.1109/isdfs.2017.7916495

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Evasive Malware Detection Using Groups of Processes

Autor: Radu-Marian Portase, Gheorghe Hajmasan, Octavian Creţ, Alexandra Mondoc

Publikováno v: ICT Systems Security and Privacy Protection ISBN: 9783319584683
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

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