Monitoring for security intrusion using performance signatures

Avritzer, Alberto; Tanikella, Rajanikanth; James, Kiran; Cole, Robert; Weyuker, Elaine J.

doi:10.1145/1712605.1712623

Cited by 28 publications

(19 citation statements)

References 8 publications

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“…Caso não seja possível descobrir os ataques apenas com medições em redes, pode ser necessário monitorar remotamente a telemetria das mesmas (CPU e memória) [Avritzer et al 2010]. Esse monitoramento pode ser feito em universidades, nos quais os computadores estão todos sob a mesma autoridade, mas não em favelas, por exemplo.…”

Section: Detectando Cryptojackingunclassified

Gatos virtuais: detectando e avaliando os impactos da mineração de criptomoedas em infraestrutura pública

Pires¹,

Coutinho²,

Menasché³

et al. 2019

Anais Do XIX Simpósio Brasileiro De Segurança Da Informação E De Sistemas Computacionais (SBSeg 2019)

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Blockchains e criptomoedas representam uma forma revolucionária de converter energia em meio de troca. Atualmente, vislumbram-se inúmeras aplicações para blockchains e criptomoedas, para ﬁns que variam desde o controle de inventário até aplicações bancárias. Naturalmente, para se minerar de forma economicamente viável buscam-se regiões nas quais a energia seja abundante e barata, e.g., próximas a usinas hidroelétricas ou em determinados países onde a produção de energia é maior que a demanda. A possibilidade de conversão de energia em dinheiro, no entanto, também abre oportunidades para um novo tipo de ataque cibernético que visa a mineração de criptomoedas. Nesse trabalho, usando dados de janeiro e fevereiro de 2018 da Universidade Federal do Rio de Janeiro UFRJ, observou-se que tal ameaça é real e apresenta-se uma projeção dos custos e ganhos derivados desses ataque. Indica-se também formas de detecção e mitigação desses ataques que foram implementadas com sucesso na UFRJ.

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Section: Detectando Cryptojackingunclassified

Gatos virtuais: detectando e avaliando os impactos da mineração de criptomoedas em infraestrutura pública

Pires¹,

Coutinho²,

Menasché³

et al. 2019

Anais Do XIX Simpósio Brasileiro De Segurança Da Informação E De Sistemas Computacionais (SBSeg 2019)

View full text Add to dashboard Cite

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“…A related area of research is building signatures based on code instrumentation or performance counters. Several studies have used this approach to identify patterns in applications' power consumption [15]- [17] or resource usage [18]- [21] or to detect anomalous behavior [22]. They build these signatures from traces of performance counter values rather than power consumption, and performance counters can be collected much more frequently than the standard 1 Hz for system-level power measurements in HPC [23].…”

Section: Related Workmentioning

confidence: 99%

Power Signatures of High-Performance Computing Workloads

Combs

Nazor

Thysell

et al. 2014

2014 Energy Efficient Supercomputing Workshop

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Workload-aware power management and scheduling techniques have the potential to save energy while minimizing negative impact on performance. The effectiveness of these techniques depends on the stability of a workload's power consumption pattern across different input data, resource allocations (e.g. number of cores), and hardware platforms.In this paper, we show that the power consumption behavior of HPC workloads can be accurately captured by concise signatures built from their power traces. We validate this approach using 255 traces collected from 13 high-performance computing workloads on 4 different hardware platforms. First, we use both feature-based and time-series-based distance metrics to cluster our traces, and we quantitatively show that feature-based clusterings segregate traces by workload just as effectively as the more compute-and space-intensive time-series-based clusterings. Second, we demonstrate that unlabeled traces can be classified by workload with over 85% accuracy, based only on these concise statistical signatures.

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“…Finally, the most common trends in the rapprochement between QoS and security are the following: (i) tests to evaluate the performance of new security solutions ; (ii) studies of the network QoS to help to detect the existence of threats ; and (iii) security techniques to help to prevent the QoS degradation (SfQ) . Also we find studies where the QoS is considered as a prerequisite for the development of security applications (QfS) .…”

Section: Analysis Of Existing Solutionsmentioning

confidence: 99%

Analysis and taxonomy of security/QoS tradeoff solutions for the future internet

Nieto

López

2013

Security Comm Networks

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Motivated by the growing convergence of diverse types of networks and the rise of concepts such as future internet (FI), in this paper, we analyze the coexistence of security mechanisms and quality of service (QoS) mechanisms in resource‐constrained networks, that are relevant types of networks within the FI environment. More precisely, we analyze the current state of the research on security and QoS in the integration of wireless sensor networks, mobile ad hoc networks and cellular networks. Furthermore, we propose a taxonomy to identify similarities among these technologies, as well as the requirements for network interconnection. As a result, we define a dependency‐based model for the analysis of security and QoS tradeoff, and also define a high‐level integration architecture for networks in the FI setting. The final goal is to provide a critical point of view that allows to assess whether such an integration of networks can be both secure and efficient. Copyright © 2013 John Wiley & Sons, Ltd.

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Monitoring for security intrusion using performance signatures

Cited by 28 publications

References 8 publications

Gatos virtuais: detectando e avaliando os impactos da mineração de criptomoedas em infraestrutura pública

Gatos virtuais: detectando e avaliando os impactos da mineração de criptomoedas em infraestrutura pública

Power Signatures of High-Performance Computing Workloads

Analysis and taxonomy of security/QoS tradeoff solutions for the future internet

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