2P1-N-089 Integrated ECL detection system for enzyme biosensor : Integrated ECL detection system for enzyme biosensor(MEMS and Nano-technology 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Cloud computing has an important role in all aspects of storing information and providing services online. It brings several advantages over traditional storing and sharing schema such as an easy access, on-request storage, scalability and decreasing cost. Using its rapidly developing technologies can bring many advantages to the protection of Internet of Things (IoT), Cyber-Physical Systems (CPS) from a variety of cyber-attacks, where IoT, CPS provides facilities to humans in their daily lives. Since malicious software (malware) is increasing exponentially and there is no well-known approach to detecting malware, the usage of cloud environments to detect malware can be a promising method. A new generation of malware is using advanced obfuscation and packing techniques to escape from detection systems. This situation makes almost impossible to detect complex malware by using a traditional detection approach. The paper presents an extensive review of cloud-based malware detection approach and provides a vision to understand the benefit of cloud for protection of IoT, CPS from cyber-attack. This research explains advantages and disadvantages of cloud environments in detecting malware and also proposes a cloud-based malware detection framework, which uses a hybrid approach to detect malware.

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An assault detection system based on human Pose Tracking for video surveillance

10.5753/sibgrapi.est.2019.8327 ◽

2019 ◽

Author(s):

Pedro Gabriel Santos do Couto Soares ◽

Arnaldo Barros Da Silva ◽

Luis Filipe Alves Pereira

Keyword(s):

Video Surveillance ◽

New Technologies ◽

State Of The Art ◽

Detection System ◽

Daily Lives ◽

Pose Tracking ◽

Violence Detection ◽

Human Pose Tracking ◽

Human Pose ◽

Accuracy Rates

The development of new technologies for video surveillance and automatic violence detection can bring more security to our daily lives. Solutions previously published in the state-of-the-art had presented techniques to detect violence at movie scenes, sports matches, or crowds. In this work, we propose a novel system architecture based on human Pose Track for detecting evidence of assaults in real-world videos from closed-circuit television (CCTV) of Brazilian lottery agencies. The results showed that our method can identify individuals with hands up and lying down with accuracy rates up to 85%. We believe that the detection of potentially risky situations in real-time is a crucial tool in the fighting against crime.

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Sensitive Data Leak Detection Based on Boundary Detection

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1049-1050.1154 ◽

2014 ◽

Vol 1049-1050 ◽

pp. 1154-1158

Author(s):

Xue Fei Jia ◽

Ning Bu ◽

Shang Gao ◽

Tao Li

Keyword(s):

Detection System ◽

Great Influence ◽

Leak Detection ◽

Boundary Detection ◽

Black Box ◽

Leakage Detection ◽

Sensitive Data ◽

Daily Lives ◽

Black Box Testing ◽

Cross Platform

Sensitive data has a great influence on our daily lives. Once the leakage of sensitive data occurred, the timely detection and response is of great importance. This article puts forward the concept of boundary detection based on the black box testing. And with the idea of boundary detection, a cross-platform sensitive data leakage detection system is built.

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