Multilevel secure data stream processing
Raman Adaikkalavan,Indrakshi Ray,Xing Xie +2 more
- 11 Jul 2011
- pp 122-137
TL;DR: The issues important in an MLS DSMS are investigated and an architecture that best meets the goals of MLSDSMS is proposed that discusses how continuous queries can be executed in such a system and sharing across queries accomplished for maximum performance benefits.
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Abstract: With sensors and mobile devices becoming ubiquitous, situation monitoring applications are becoming a reality. Data Stream Management Systems (DSMSs) have been proposed to address the data processing needs of such applications that require collection of high-speed data, computing results on-the-fly, and taking actions in real-time. Although a lot of work appears in the area of DSMS, not much has been done in multilevel secure (MLS) DSMS making the technology unsuitable for highly sensitive applications such as battlefield monitoring. An MLS DSMS should ensure the absence of illegal information flow in a DSMS and more importantly provide the performance needed to handle continuous queries.We investigate the issues important in an MLS DSMS and propose an architecture that best meets the goals of MLS DSMS.We discuss how continuous queries can be executed in such a system and sharing across queries accomplished for maximum performance benefits.
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Citations
Information flow control for stream processing in clouds
Xing Xie,Indrakshi Ray,Raman Adaikkalavan,Rose F. Gamble +3 more
- 12 Jun 2013
TL;DR: This work proposes an information flow control model adapted from the Chinese Wall policy that can be used to protect against sensitive data disclosure and proposes architectures that are suitable for securely and efficiently processing streaming information belonging to different organizations.
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Preserving Privacy and Quality of Service in Complex Event Processing through Event Reordering
Saravana Murthy Palanisamy,Frank Dürr,Muhammad Adnan Tariq,Kurt Rothermel +3 more
- 25 Jun 2018
TL;DR: A novel pattern-level access control mechanism for CEP based services that conceals private information while minimizing the impact on useful non-sensitive information required by the services to provide a certain quality of service (QoS).
A Brief Survey on Smart Grid Data Analysis in the Cloud
TL;DR: This paper presents the particularities of the data generated in the Smart Grid and the operations involved in its analysis, and compares existing solutions for stream data processing against this basic set of operations.
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An access and inference control model for time series databases
Amir Noury,Morteza Amini +1 more
TL;DR: Investigating and resolving different types of conflicts between the simple, aggregation, or composition access rules over the time series data is a challenging issue which is investigated in this paper.
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Multilevel secure data stream processing: Architecture and implementation
TL;DR: Why the traditional DSMSs cannot be used for processing multilevel secure continuous queries and various DSMS architectures for processing such queries are discussed and implemented.
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