Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Slavko Gajin"'
Publikováno v:
IEEE Access, Vol 8, Pp 44175-44189 (2020)
Modern computing is migrating towards more prevalent use of shared infrastructures and is transforming physical and fixed resources into a more dynamic and virtualized environment. This trend has proved to be a boon for advanced monitoring and profil
Externí odkaz:
https://doaj.org/article/ad91a9ddb1914cc9ae4033e39f66e3c9
Autor:
Slavko Gajin, Juma Ibrahim
Publikováno v:
Computer Science and Information Systems. 19:87-116
Entropy-based network traffic anomaly detection techniques are attractive due to their simplicity and applicability in a real-time network environment. Even though flow data provide only a basic set of information about network communications, they a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13516945edb4f2d67b637bb812a6a0e5
https://doi.org/10.2298/csis201229045i
https://doi.org/10.2298/csis201229045i
Autor:
Valentina Timcenko, Slavko Gajin
Publikováno v:
2022 30th Telecommunications Forum (TELFOR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50db06c493e07d86fd016da99efc5a02
https://doi.org/10.1109/telfor56187.2022.9983780
https://doi.org/10.1109/telfor56187.2022.9983780
Publikováno v:
IEEE Access, Vol 8, Pp 44175-44189 (2020)
Modern computing is migrating towards more prevalent use of shared infrastructures and is transforming physical and fixed resources into a more dynamic and virtualized environment. This trend has proved to be a boon for advanced monitoring and profil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a46caa8df5bf874589041baf93618681
https://ieeexplore.ieee.org/document/9024025/
https://ieeexplore.ieee.org/document/9024025/
Autor:
Boriša Jovanović, Slavko Gajin
Publikováno v:
Multimedia Tools and Applications. 77:1537-1553
The challenge to which the encryption of multimedia data needs to respond is ensuring the security of data intensive video stream in an efficient way. Unlike full data encryption, selective encryption manages to achieve this by encrypting only a part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::635a80669b5883201a91fdf4b9c46bf6
https://doi.org/10.1007/s11042-017-4389-3
https://doi.org/10.1007/s11042-017-4389-3
Autor:
Slavko Gajin, Teodora Komazec
Publikováno v:
2019 27th Telecommunications Forum (TELFOR).
Modern networks have to provide protection from many threats that exist online. There is a trend of growing network attacks, both in type and scope. Today, one of the most dangerous attacks is botnet. Early detection is crucial for minimizing the eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e431ba85559fa5a201bf56ee2c626d
https://doi.org/10.1109/telfor48224.2019.8971036
https://doi.org/10.1109/telfor48224.2019.8971036
Publikováno v:
Computer Science and Information Systems. 13:71-92
The appearance of burst packet losses and its devastating effect on Voice over IP (VoIP) service have imposed a requirement for the implementation of loss recovery mechanisms to address VoIP quality during periods when high packet loss is exhibited.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5215b16d94257c473c8d3f2ea89c2a3d
https://doi.org/10.2298/csis150120043n
https://doi.org/10.2298/csis150120043n
Autor:
Slavko Gajin
Publikováno v:
2017 16th RoEduNet Conference: Networking in Education and Research (RoEduNet).
Europe's leading collaboration on e-infrastructure and services for research and education, GEANT, has recognised an increased demand for cloud services and technologies from the user's community. Research and education institutions are already faced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92cd155c3cef039845b02e446af230ff
https://doi.org/10.1109/roedunet.2017.8123728
https://doi.org/10.1109/roedunet.2017.8123728
Autor:
Valentina Timcenko, Slavko Gajin
Publikováno v:
ICCP
This paper focuses on the problem of machine learning classifier choice for network intrusion detection, taking into consideration several ensemble classifiers from the supervised learning category. We have evaluated Bagged trees, AdaBoost, RUSBoost,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a3f2f06564cec17240f9af7a95d1167
https://doi.org/10.1109/iccp.2017.8116977
https://doi.org/10.1109/iccp.2017.8116977
Autor:
Slavko Gajin, Bosko Nikolic, Bojan Furlan, Veljko Milutinovic, Milos Cvetanovic, Dragan Bojic, Saša Stojanović, Đ. Đurđević, Jelena Đorđević, Marija Punt, Jelica Protic, Zoran Jovanovic, V. Blagojevic, Dragan Milicev, Pavle V. Vuletic, Milo Tomasevic, Miroslav Bojovic, Zaharije Radivojevic, Igor Tartalja, Ž. Stanisavljević
This article represents an effort to help PhD students in computer science and engineering to generate good original ideas for their PhD research. Our effort is motivated by the fact that most PhD programs nowadays include several courses, as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78b68dfe4caba55b0559e4f12cfe2152
https://doi.org/10.1016/bs.adcom.2016.09.001
https://doi.org/10.1016/bs.adcom.2016.09.001
