Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Altair Olivo Santin"'
Publikováno v:
IEEE Transactions on Network Science and Engineering. 8:366-376
Despite highly accurate intrusion detection schemes based on machine learning (ML) reported in the literature, changes in network traffic behavior quickly yield low accuracy rates. An intrusion detection model update is not easily feasible due to the
Autor:
Maicon Stihler, Juliana Bachtold, Darlan Segalin, Carlos Maziero, Eduardo Viegas, Arlindo L. Marcon, Altair Olivo Santin
Publikováno v:
Cluster Computing. 24:1659-1674
Enforcing Service Level Agreements (SLA) on service provisioning is a challenge in cloud computing environments. This paper proposes an architecture for multiparty (provider and client) auditing in cloud computing to identify SLA deviations. The arch
Autor:
Jhonatan Geremias, Jackson Mallmann, Altair Olivo Santin, Eduardo Viegas, Roger Robson dos Santos
Publikováno v:
Future Generation Computer Systems. 112:945-955
Convolutional neural network (CNN) models are typically composed of several gigabytes of data, requiring dedicated hardware and significant processing capabilities for proper handling. In addition, video-detection tasks are typically performed offlin
Publikováno v:
Anais do XXI Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2021).
As técnicas de aprendizado de máquina para detecção de intrusão baseada na rede geralmente pressupõem que o tráfego da rede não muda com o tempo ou que as atualizações do modelo podem ser realizadas facilmente. Neste artigo, propomos um nov
Publikováno v:
Anais do XXI Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2021).
Redes elétricas inteligentes (SG, Smart Grid) são compostas por dispositivos da internet das coisas (IoT, Internet of Things) que possuem restrições computacionais que impedem a adoção de protocolos tradicionais de comunicação e segurança. A
Autor:
Altair Olivo Santin, Felipe Ramos, Roger Robson dos Santos, Pedro Horchulhack, Allan Espindola, Eduardo Viegas
Publikováno v:
ICC
Resource allocation overbooking is an approach used by cloud providers that allocates more virtual resources than available on physical hardware, which may imply service quality degradation. Docker in cloud computing environments is being increasingl
Publikováno v:
ICC
Changes in network traffic behavior over time are neglected by authors who use machine learning techniques applied to intrusion detection. In general, it is assumed that periodic model updates are performed, regardless of the challenges related to su
Autor:
Nuno Neves, Luiz Fernando Rust da Costa Carmo, Altair Olivo Santin, Alysson Bessani, Wilson S. Melo
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 68:1503-1514
In recent years, measuring instruments have become quite complex due to the integration of embedded systems and software components and the increasing aggregation of new features. Consequently, metrological regulation and control require more efforts
Publikováno v:
Future Generation Computer Systems
Existing machine learning solutions for network-based intrusion detection cannot maintain their reliability over time when facing high-speed networks and evolving attacks. In this paper, we propose BigFlow, an approach capable of processing evolving