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Anomaly Detection in IaaS Clouds
2013 IEEE 5th International Conference on Cloud Computing Technology and Science, 2013Security is still a major concern in Cloud computing, especially the detection of nefarious use or abuse of cloud instances. One reason for this, is the ever-growing complexity and dynamic of the underlying system design and architecture. To be able to detect misuse of cloud instances, this work presents an anomaly detection system for Infrastructure ...
Frank Dölitzscher +3 more
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Detecting clouds and cloud shadows on aerial photographs
Pattern Recognition Letters, 1991Abstract This paper describes a system for identifying small clouds and their shadows on aerial photographs. The system segments an image into homogeneous regions; selects bright and dark regions as cloud and shadow candidates, respectively; and finds acceptable (cloud, shadow) pairs based on consistent relative position.
Chengye Wang +2 more
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Point Cloud Collision Detection
Computer Graphics Forum, 2004AbstractIn the past few years, many efficient rendering and surface reconstruction algorithms for point clouds have been developed. However, collision detection of point clouds has not been considered until now, although this is a prerequisite to use them for interactive or animated 3D graphics.We present a novel approach for time‐critical collision ...
Jan Klein 0001, Gabriel Zachmann
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Detection of Daily Clouds on Titan
Science, 2000We have discovered frequent variations in the near-infrared spectrum of Titan, Saturn's largest moon, which are indicative of the daily presence of sparse clouds covering less than 1% of the area of the satellite. The thermodynamics of Titan's atmosphere and the clouds' altitudes suggest that convection governs their evolutions. Their short lives point
C A, Griffith, J L, Hall, T R, Geballe
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Intrusion detection in federated clouds
International Journal of Computational Science and Engineering, 2016In order to overcome the provisioning and scalability limits of a single cloud, cloud federation appears as the computing model in which multiple resources from independent cloud providers can be shared to create large-scale distributed virtual clusters.
FICCO, Massimo +2 more
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Co-location Detection on the Cloud
2016In this work we focus on the problem of co-location as a first step of conducting Cross-VM attacks such as Prime and Probe or Flush+Reload in commercial clouds. We demonstrate and compare three co-location detection methods namely, cooperative Last-Level Cache (LLC) covert channel, software profiling on the LLC and memory bus locking.
Mehmet Sinan Inci +3 more
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Intrusion Detection System for Cloud Environment
Proceedings of the 7th International Conference on Security of Information and Networks, 2014Cloud computing environment is threatened by different types of cyber-attacks. This paper presents an implementation of intrusion detection system to secure virtualized servers on the cloud platform and validates intrusion detection system in detecting DDoS attack against the virtualized environment.
Hifaa Bait Baraka, Huaglory Tianfield
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Proceedings of the first Workshop on Emerging Technologies for software-defined and reconfigurable hardware-accelerated Cloud Datacenters, 2017
Cloud computing is an important infrastructure for many enterprises. After 10 years of development, cloud computing has achieved a great success, and has greatly changed the economy, society, science and industries. In particular, with the rapid development of mobile Internet and big data technology, almost all of the online services and data services ...
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Cloud computing is an important infrastructure for many enterprises. After 10 years of development, cloud computing has achieved a great success, and has greatly changed the economy, society, science and industries. In particular, with the rapid development of mobile Internet and big data technology, almost all of the online services and data services ...
openaire +1 more source
Detection and/or distinction between haze and/or cloud
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015The concentration of air pollutants has become severe, and influence of biomass burning aerosols (BBA) generated by agricultural biomass burning (ABB) has been noted upon the severe haze episodes. This work intends to show the retrieval algorithm as far as heavy air pollution caused by ABB is concerned.
Sonoyo Mukai, Itaru Sano, Makiko Nakata
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Cloud Resource Monitoring for Intrusion Detection
2013 IEEE 5th International Conference on Cloud Computing Technology and Science, 2013We present a novel security monitoring framework for intrusion detection in IaaS cloud infrastructures. The framework uses statistical anomaly detection techniques over data monitored both inside and outside each Virtual Machine instance. We present the architecture of our monitoring framework and describe the implementation of the real-time monitors ...
Sijin He +3 more
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