Behavior detection as a privacy-enhancing security technology in prison cells

2019 ◽  
Author(s):  
C. Pramerdorfer ◽  
M. Kampel ◽  
R. Kreissl
Keyword(s):  
Security Technology ◽  
Behavior Detection

Development of a Awaking Behavior Detection System Using a Neural Network

2008 ◽  
Vol 128 (11) ◽  
pp. 1649-1656 ◽  
Author(s):  
Hironobu Satoh ◽  
Fumiaki Takeda ◽  
Yuhki Shiraishi ◽  
Rie Ikeda
Keyword(s):  
Neural Network ◽  
Detection System ◽  
Behavior Detection

scholarly journals A Novel Anomaly Behavior Detection Scheme for Mobile Ad Hoc Networks

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1635
Author(s):  
Neeraj Chugh ◽  
Geetam Singh Tomar ◽  
Robin Singh Bhadoria ◽  
Neetesh Saxena
Keyword(s):  
Anomaly Detection ◽  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Network Performance ◽  
Ad Hoc ◽  
Abnormal Behavior ◽  
Energy Awareness ◽  
Behavior Detection ◽  
Mobile Ad Hoc ◽  
Hoc Networks

To sustain the security services in a Mobile Ad Hoc Networks (MANET), applications in terms of confidentially, authentication, integrity, authorization, key management, and abnormal behavior detection/anomaly detection are significant. The implementation of a sophisticated security mechanism requires a large number of network resources that degrade network performance. In addition, routing protocols designed for MANETs should be energy efficient in order to maximize network performance. In line with this view, this work proposes a new hybrid method called the data-driven zone-based routing protocol (DD-ZRP) for resource-constrained MANETs that incorporate anomaly detection schemes for security and energy awareness using Network Simulator 3. Most of the existing schemes use constant threshold values, which leads to false positive issues in the network. DD-ZRP uses a dynamic threshold to detect anomalies in MANETs. The simulation results show an improved detection ratio and performance for DD-ZRP over existing schemes; the method is substantially better than the prevailing protocols with respect to anomaly detection for security enhancement, energy efficiency, and optimization of available resources.

scholarly journals A differential approach to undefined behavior detection

2016 ◽  
Vol 59 (3) ◽  
pp. 99-106 ◽  
Author(s):  
Xi Wang ◽  
Nickolai Zeldovich ◽  
M. Frans Kaashoek ◽  
Armando Solar-Lezama
Keyword(s):  
Behavior Detection ◽  
Differential Approach

Vision-Based Real-time Human Malicious Behavior Detection

2021 ◽  
Author(s):  
Hajra Binte Naeem ◽  
Muhammad Haroon Yousaf ◽  
Farhan Hassan Khan ◽  
Amanullah Yasin
Keyword(s):  
Real Time ◽  
Behavior Detection ◽  
Malicious Behavior
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