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Flashlight: A novel monitoring path identification schema for securing cloud services

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Flashlight : A novel monitoring path identification schema for securing cloud services. / Zhang, H.; Luna, J.; Suri, Neeraj; Trapero, R.

ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security. ACM, 2018. 5.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Zhang, H, Luna, J, Suri, N & Trapero, R 2018, Flashlight: A novel monitoring path identification schema for securing cloud services. in ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security., 5, ACM. https://doi.org/10.1145/3230833.3230860

APA

Zhang, H., Luna, J., Suri, N., & Trapero, R. (2018). Flashlight: A novel monitoring path identification schema for securing cloud services. In ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security [5] ACM. https://doi.org/10.1145/3230833.3230860

Vancouver

Zhang H, Luna J, Suri N, Trapero R. Flashlight: A novel monitoring path identification schema for securing cloud services. In ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security. ACM. 2018. 5 https://doi.org/10.1145/3230833.3230860

Author

Zhang, H. ; Luna, J. ; Suri, Neeraj ; Trapero, R. / Flashlight : A novel monitoring path identification schema for securing cloud services. ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security. ACM, 2018.

Bibtex

@inproceedings{aced7150b997447399f7c39ced7dd998,
title = "Flashlight: A novel monitoring path identification schema for securing cloud services",
abstract = "Cloud monitoring is an essential mechanism for helping secure cloud services. Thus, a plethora of monitoring schemas have been proposed in recent years. Particularly, a newly proposed indirect monitoring mechanism outperforms others with the unique merit of addressing scenarios where the information of the monitoring target is not directly accessible. To conduct indirect cloud security monitoring, a key prerequisite is to obtain a special set of monitoring data termed “monitoring path”. However, how to ascertain the monitoring path is still an open issue. In this paper, we propose Flashlight as a novel monitoring path identification mechanism to address the gap where the information of monitoring targets is inaccessible. For this purpose, Flashlight first introduces a novel data reduction technique to filter unnecessary monitoring information. Second, Flashlight develops a data association approach to identify the monitoring path by utilizing data relations and data attributes. Third, Flashlight devises a monitoring property graph to support fine-grain monitoring path identification as well as represent identified monitoring paths. In addition, the efficacy of our proposed approach is demonstrated by the case studies where Flashlight successfully identifies the monitoring paths for underpinning indirect cloud monitoring. {\textcopyright} 2018 Association for Computing Machinery.",
keywords = "Cloud security, Dependency, Indirect monitoring, Monitoring path, Service monitoring, Distributed database systems, Flashlights, Web services, Cloud monitoring, Cloud securities, Monitoring information, Monitoring mechanisms, Path identifications, Reduction techniques, Monitoring",
author = "H. Zhang and J. Luna and Neeraj Suri and R. Trapero",
year = "2018",
month = aug,
day = "27",
doi = "10.1145/3230833.3230860",
language = "English",
isbn = "9781450364485 ",
booktitle = "ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Flashlight

T2 - A novel monitoring path identification schema for securing cloud services

AU - Zhang, H.

AU - Luna, J.

AU - Suri, Neeraj

AU - Trapero, R.

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Cloud monitoring is an essential mechanism for helping secure cloud services. Thus, a plethora of monitoring schemas have been proposed in recent years. Particularly, a newly proposed indirect monitoring mechanism outperforms others with the unique merit of addressing scenarios where the information of the monitoring target is not directly accessible. To conduct indirect cloud security monitoring, a key prerequisite is to obtain a special set of monitoring data termed “monitoring path”. However, how to ascertain the monitoring path is still an open issue. In this paper, we propose Flashlight as a novel monitoring path identification mechanism to address the gap where the information of monitoring targets is inaccessible. For this purpose, Flashlight first introduces a novel data reduction technique to filter unnecessary monitoring information. Second, Flashlight develops a data association approach to identify the monitoring path by utilizing data relations and data attributes. Third, Flashlight devises a monitoring property graph to support fine-grain monitoring path identification as well as represent identified monitoring paths. In addition, the efficacy of our proposed approach is demonstrated by the case studies where Flashlight successfully identifies the monitoring paths for underpinning indirect cloud monitoring. © 2018 Association for Computing Machinery.

AB - Cloud monitoring is an essential mechanism for helping secure cloud services. Thus, a plethora of monitoring schemas have been proposed in recent years. Particularly, a newly proposed indirect monitoring mechanism outperforms others with the unique merit of addressing scenarios where the information of the monitoring target is not directly accessible. To conduct indirect cloud security monitoring, a key prerequisite is to obtain a special set of monitoring data termed “monitoring path”. However, how to ascertain the monitoring path is still an open issue. In this paper, we propose Flashlight as a novel monitoring path identification mechanism to address the gap where the information of monitoring targets is inaccessible. For this purpose, Flashlight first introduces a novel data reduction technique to filter unnecessary monitoring information. Second, Flashlight develops a data association approach to identify the monitoring path by utilizing data relations and data attributes. Third, Flashlight devises a monitoring property graph to support fine-grain monitoring path identification as well as represent identified monitoring paths. In addition, the efficacy of our proposed approach is demonstrated by the case studies where Flashlight successfully identifies the monitoring paths for underpinning indirect cloud monitoring. © 2018 Association for Computing Machinery.

KW - Cloud security

KW - Dependency

KW - Indirect monitoring

KW - Monitoring path

KW - Service monitoring

KW - Distributed database systems

KW - Flashlights

KW - Web services

KW - Cloud monitoring

KW - Cloud securities

KW - Monitoring information

KW - Monitoring mechanisms

KW - Path identifications

KW - Reduction techniques

KW - Monitoring

U2 - 10.1145/3230833.3230860

DO - 10.1145/3230833.3230860

M3 - Conference contribution/Paper

SN - 9781450364485

BT - ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security

PB - ACM

ER -