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Fast Botnet Detection From Streaming Logs Using Online Lanczos Method
[article]
2018
arXiv
pre-print
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This paper focuses on design and experiment of a new approach for botnet detection from streaming web server logs, motivated by its wide applicability, real-time protection capability, ease of use and ...
detection from cubic to sub-cubic, which enables us to more accurately and sensitively detect botnets with sliding time windows rather than fixed time windows. ...
CONCLUSION & FUTURE WORK The main objective of this paper is to recognize botnets from streaming web server logs. We recognize and adapt Lanczos method to the application of botnet detection. ...
arXiv:1812.07810v1
fatcat:pzh72btrujfuxccrxpfiumvalq
A Survey on Botnets: Incentives, Evolution, Detection and Current Trends
2021
Future Internet
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The literature review focuses particularly on the topic of botnet detection and the proposed solutions to mitigate the threat of botnets in system security. ...
Botnet detection and mitigation mechanisms are categorised and briefly described to allow for an easy overview of the many proposed solutions. ...
Reference [184] detects HTTP botnet traffic in streaming logs by the use of Lanczos method. ...
doi:10.3390/fi13080198
fatcat:5umqenw47ncdxggi4kiotkeag4
Cyber-Physical Systems Security: Limitations, Issues and Future Trends
2020
Microprocessors and microsystems
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Finally, several suggestions and recommendations are proposed benefiting from the lessons learned throughout this comprehensive review. ...
The fast and significant evolution of CPS affects various aspects in people's way of life and enables a wider range of services and applications including e-Health, smart homes, e-Commerce, etc. ...
Acknowledgments This paper is supported with funds from the Maroun Semaan Faculty of Engineering and Architecture at the American University of Beirut. ...
doi:10.1016/j.micpro.2020.103201
pmid:32834204
pmcid:PMC7340599
fatcat:omeihta4vbe55cohyhbhi56mzm
A Review of Computer Vision Methods in Network Security
[article]
2020
arXiv
pre-print
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Nonetheless, there is a significant amount of work that highlighted how methods from computer vision can be applied in network security for detecting attacks or building security solutions. ...
Traditional machine learning methods have been frequently used in the context of network security. ...
Image representation-based methods Similar to Section IV-A, the image representation-based methods detect traffic anomalies by visualising traffic data or logs as images and then analysing them using computer ...
arXiv:2005.03318v1
fatcat:pcng7535obec3l6fejkllbi3ii
Estimating user interaction probability for non-guaranteed display advertising
[article]
2017
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Together, these systems improve on the log-likelihood of the existing method by over 10%. ...
We then use regularized generalized linear models to estimate the probability of an ad interaction occurring following an individual user impression event. ...
New elements from the stream are used to populate an empty buffer, assigned a level of zero. ...
doi:10.26021/3164
fatcat:o4nh74qg6ngizlqfnci6jfbche
Committee AP2PS General Chairs
AP2PS 2011 The Third International Conference on Advances in P2P Systems Foreword The Third International Conference on Advances in P2P Systems
unpublished
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and real-time streams) and service (e.g., IP telephony, IP TV, collaboration). ...
We are convinced that the participants found the event useful and communications very open. We also hope the attendees enjoyed the historic charm of Lisbon, Portugal. ...
funded by the EU FP7 STREP project PLAY (http://www.play-project.eu) and French ANR project SocEDA (http://www.soceda.org)
ACKNOWLEDGMENT The research leading to these results has received funding from ...
fatcat:robo5tbfrrdibirqp54tsygmmu