Results 281 to 290 of about 121,150 (313)
Some of the next articles are maybe not open access.

Learning to detect misaligned point clouds

Journal of Field Robotics, 2017
AbstractMatching and merging overlapping point clouds is a common procedure in many applications, including mobile robotics, three‐dimensional mapping, and object visualization. However, fully automatic point‐cloud matching, without manual verification, is still not possible because no matching algorithms exist today that can provide any certain ...
Håkan Almqvist   +3 more
openaire   +1 more source

Efficient and exact duplicate detection on cloud

Concurrency and Computation: Practice and Experience, 2012
SUMMARYAs the recent proliferation of social networks, mobile applications, and online services increased the rate of data gathering, to find near‐duplicate records efficiently has become a challenging issue. Related works on this problem mainly aim to propose efficient approaches on a single machine.
Chuitian Rong   +3 more
openaire   +1 more source

Detecting fraudulent use of cloud resources

Proceedings of the 3rd ACM workshop on Cloud computing security workshop, 2011
Initial threat modeling and security research on the public cloud model has primarily focused on the confidentiality and integrity of data transferred, processed, and stored in the cloud. Little attention has been paid to the external threat sources that have the capability to affect the financial viability, hence the long-term availability, of ...
Joseph Idziorek   +2 more
openaire   +1 more source

Version Detection for Software Discovery in the Cloud

Proceedings of the 21st International Middleware Conference Demos and Posters, 2020
With the growth in server traffic and component diversity in cloud systems, administrators face the increasingly onerous task of monitoring system activity. Failure to keep track of the contents of virtual servers can limit overall efficiency and create security risks for users.
Sadie L. Allen   +2 more
openaire   +1 more source

Termination detection in cloud

International Journal of System Assurance Engineering and Management, 2023
Bharati Sinha   +2 more
openaire   +1 more source

The Cloud Detectability Conundrum

SAE Technical Paper Series, 2019
<div class="section abstract"><div class="htmlview paragraph">Since the beginning of aviation, aircraft designers, researchers, and pilots have monitored the skies looking for clouds to determine when and where to fly as well as when to deice aircraft surfaces.
openaire   +1 more source

Intrusion Detection for Grid and Cloud Computing

IT Professional, 2010
Providing security in a distributed system requires more than user authentication with passwords or digital certificates and confidentiality in data transmission. The Grid and Cloud Computing Intrusion Detection System integrates knowledge and behavior analysis to detect intrusions.
Kleber Vieira   +3 more
openaire   +1 more source

Early Detection of Fraud Storms in the Cloud

2015
Cloud computing resources are sometimes hijacked for fraudulent use. While some fraudulent use manifests as a small-scale resource consumption, a more serious type of fraud is that of fraud storms, which are events of large-scale fraudulent use. These events begin when fraudulent users discover new vulnerabilities in the sign up process, which they ...
Hani Neuvirth   +5 more
openaire   +1 more source

Channel Attention Cloud Detection Network for Ground-Based Cloud Detection

2023
Jiafeng Zhang   +4 more
openaire   +1 more source

Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects

ISPRS Journal of Photogrammetry and Remote Sensing, 2022
Zhiwei Li, Huanfeng Shen, Qihao Weng
exaly  

Home - About - Disclaimer - Privacy