Validity of a motion-detection model characterized by cooperation between accommodation and motion-detection mechanisms

2002 ◽  
Vol 85 (5) ◽  
pp. 35-45
Author(s):  
Toshikazu Matsui
Keyword(s):  
Motion Detection ◽  
Detection Model ◽  
Detection Mechanisms

scholarly journals SybilEye: Observer-Assisted Privacy-Preserving Sybil Attack Detection on Mobile Crowdsensing

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 198
Author(s):  
Junhyeok Yun ◽  
Mihui Kim
Keyword(s):  
Mobile Devices ◽  
Privacy Preserving ◽  
Attack Detection ◽  
Sybil Attack ◽  
Detection Mechanism ◽  
Mobile Crowdsensing ◽  
Detection Model ◽  
System A ◽  
Data Processor ◽  
Detection Mechanisms

Mobile crowdsensing is a data collection system using widespread mobile devices with various sensors. The data processor cannot manage all mobile devices participating in mobile crowdsensing. A malicious user can conduct a Sybil attack (e.g., achieve a significant influence through extortion or the generation of fake IDs) to receive an incentive or destroy a system. A mobile crowdsensing system should, thus, be able to detect and block a Sybil attack. Existing Sybil attack detection mechanisms for wireless sensor networks cannot apply directly to mobile crowdsensing owing to the privacy issues of the participants and detection overhead. In this paper, we propose an effective privacy-preserving Sybil attack detection mechanism that distributes observer role to the users. To demonstrate the performance of our mechanism, we implement a Wi-Fi-connection-based Sybil attack detection model and show its feasibility by evaluating the detection performance.

A scene-adaptive motion detection model based on machine learning and data clustering

2013 ◽  
Vol 74 (8) ◽  
pp. 2821-2839 ◽  
Author(s):  
Tao Hu ◽  
Minghui Zheng ◽  
Jun Li ◽  
Li Zhu ◽  
Jia Hu
Keyword(s):  
Machine Learning ◽  
Motion Detection ◽  
Data Clustering ◽  
Detection Model ◽  
Model Based ◽  
Adaptive Motion

scholarly journals A 2-D Motion Detection Model for Low-Cost Embedded Reconfigurable I/O Devices

2005 ◽  
Vol 52 (8) ◽  
pp. 1443-1449 ◽  
Author(s):  
A. Dollas ◽  
S. Sotiropoulos ◽  
K. Papademetriou
Keyword(s):  
Motion Detection ◽  
Low Cost ◽  
Detection Model

scholarly journals A motion detection model based on a recurrent network

2011 ◽  
Vol 11 (11) ◽  
pp. 746-746
Author(s):  
J. Joukes ◽  
B. Krekelberg
Keyword(s):  
Motion Detection ◽  
Recurrent Network ◽  
Detection Model ◽  
Model Based
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