A Security Wireless Monitoring and Automatic Protection System for CCEL

Sun, Qi; Liu, Xuejiao; Sun, Yumei; Wang, Mei-chun; Han, Xiang; Chen, Xiangguang

doi:10.1155/2021/6652246

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…In 2021, Sun,et al [24]executed a wireless monitoring and automatic protection system for laboratory safety in chemistry and chemical engineering laboratories (CCEL). The system was based on a WSN and included indoor wireless security monitoring nodes, information aggregation and management nodes, portable handheld terminals, and a laboratory security information management system.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Arduino Microprocessors in the Development by some Components of the Systems of Monitoring in the Laboratory with the Plasma-Chemical Installation

Sergeyeva Olga V

2024

JCMPS

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Plasma is often described as the fourth state of matter, distinct from solid, liquid, and gas. It consists of ionized gas particles containing free electrons and positively charged ions. The reactor chamber is where the plasma is generated and maintained. It is designed to contain and control the plasma discharge, often using vacuum systems, magnetic fields, or other confinement techniques to manipulate the plasma properties. This increases the demand for protection, warning, security, and surveillance systems. We developed a security and leak detection alarm unit, consisting of system security and alarming as well as leak alarming systems and video unit surveillance on a mobile platform (video machine).The mobility and controllability of a video surveillance system on a mobile platform (machine) allows to change the system configuration at any time remotely. The developed blocks can be used as independent devices, combined into a single, complex, or integrated into other systems. The use of this system in a plasma-chemical laboratory has shown the usefulness of these devices in ensuring the security of the premises, the protection of equipment, and the safety of students and researchers. The prospect of integrating this equipment into the general monitoring system in the laboratory lies in the possibility of using these devices as additional sources for collecting research information, including various kinds of experiments with their video recording.

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Section: Literature Reviewmentioning

confidence: 99%

“…Technology used Detected Sun,et al [25] WSN Temperature, smoke, flame, toxic gases, and abnormal sound Sun,et al [24] WSN Fire information, toxic gas content, and abnormal sound. Lio& Teng, [9] WebNet Emergencies or objects moving within the monitored areas.…”

Section: Authormentioning

confidence: 99%

The Arduino Microprocessors in the Development by some Components of the Systems of Monitoring in the Laboratory with the Plasma-Chemical Installation

Sergeyeva Olga V

2024

JCMPS

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“…However, its popularity has also led to a significant issue: Android malware. Recent security reports have identified over 33 million Android malware samples, posing a considerable threat to users' privacy and data integrity [16,23,57,58,61,63]. To combat this, researchers have widely adopted machine learning-based (ML-based) Android malware detection (AMD) methods [13,26,29,43,45,80].…”

Section: Introductionmentioning

confidence: 99%

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

He,

Xia,

Zhang

et al. 2023

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

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The widespread adoption of the Android operating system has made malicious Android applications an appealing target for attackers. Machine learning-based (ML-based) Android malware detection (AMD) methods are crucial in addressing this problem; however, their vulnerability to adversarial examples raises concerns. Current attacks against ML-based AMD methods demonstrate remarkable performance but rely on strong assumptions that may not be realistic in real-world scenarios, e.g., the knowledge requirements about feature space, model parameters, and training dataset. To address this limitation, we introduce AdvDroidZero, an efficient query-based attack framework against ML-based AMD methods that operates under the zero knowledge setting. Our extensive evaluation shows that AdvDroidZero is effective against various mainstream MLbased AMD methods, in particular, state-of-the-art such methods and real-world antivirus solutions. CCS CONCEPTS• Security and privacy → Malware and its mitigation; Software security engineering; • Computing methodologies → Machine learning approaches.

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A Security Wireless Monitoring and Automatic Protection System for CCEL

Cited by 2 publications

References 6 publications

The Arduino Microprocessors in the Development by some Components of the Systems of Monitoring in the Laboratory with the Plasma-Chemical Installation

The Arduino Microprocessors in the Development by some Components of the Systems of Monitoring in the Laboratory with the Plasma-Chemical Installation

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

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