Implementation of IoT-Based Smart Video Surveillance System

Gulve, Sonali P.; Khoje, Suchitra; Pardeshi, Prajakta

doi:10.1007/978-981-10-3874-7_73

Cited by 23 publications

(6 citation statements)

References 8 publications

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“…Well-known network security enterprises and institutions have built a threat information sharing and exchange platform, and related sharing and exchange standards and technologies have accelerated the process of threat information sharing and utilization. However, threat intelligence sharing in dynamic, open and diversified video surveillance network space has the characteristics of massive data, low value information density and ambiguous quality [18] .A large number of deceptive, misleading or confused false information and counter-intelligence make it difficult to find the real correct and valuable information for security analysis and decision-making. In the security defense and early warning emergency system centered on threat intelligence, how to create reliable and fidelity information from shared intelligence and maintain low false alarm rate is very important for network security defense, detection and traceability applications [19].…”

Section: Discussionmentioning

confidence: 99%

Research on Security Situation Assessment Model of Video Transmission Network

Jian¹,

Ting²,

Zhu³

2019

IJMECS

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In this paper, we propose a situation assessment model for video transmission network, which evaluates the security risk of video transmission network information from four aspects: front-end perception layer, transmission layer, application layer and other risks.We divide the video network security evaluation system into three layers, and use AHP to determine the weight of each index.The weights of these four aspects are calculated by analytic hierarchy process.The method proposed in this paper can provide an evaluation system and a calculation method for the safe operation of video transmission network and important systems, and can provide specialized information security services for the construction project of video transmission network.

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Section: Discussionmentioning

confidence: 99%

Research on Security Situation Assessment Model of Video Transmission Network

Jian¹,

Ting²,

Zhu³

2019

IJMECS

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“…Smart surveillance is the application of new technologies such as artifcial intelligence (AI), machine learning, and the Internet of Tings (IoT) to improve traditional surveillance systems [72]. Tese technologies have a wide range of applications in security, safety, and monitoring [73]. Smart surveillance applications are constantly expanding as a result of breakthroughs in AI and IoT technology.…”

Section: Surveillancementioning

confidence: 99%

Internet of Things (IoT) of Smart Homes: Privacy and Security

Magara,

Zhou

2024

Journal of Electrical and Computer Engineering

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The Internet of Things (IoT) constitutes a sophisticated network that interconnects devices, optimizing functionality across various domains of human activity. Recent literature projections anticipate a significant increase, with estimates exceeding 50 billion connected devices by 2025. Despite its transformative potential, the IoT landscape confronts formidable privacy and security challenges, encompassing intricate issues such as data acquisition, anonymization, retention, sharing practices, and behavioural profiling. Effectively addressing these challenges mandates the development of scalable solutions, innovative management strategies, and adaptable policy frameworks. In this paper, we conduct an exhaustive examination of major IoT applications, alongside associated privacy and security concerns. We systematically categorize prevalent privacy, security, and interoperability issues within the context of the IoT layered architecture. The review highlights current research initiatives focused on developing energy-efficient devices, optimizing microprocessors, and fostering interdisciplinary collaborations to address the challenges in the IoT landscape. To efficaciously manage risks in this dynamic landscape, stakeholders must implement comprehensive strategies that span stringent data protection legislation, extensive user education initiatives, and the deployment of robust authorization and authentication frameworks. This paper aims to empower industry leaders, policymakers, and researchers by providing actionable solutions, not just insights, to navigate the complexities of the IoT landscape effectively. Future research initiatives should prioritize the fortification of security measures for large-scale IoT deployments, the formulation of user-centric privacy solutions, and the standardization of interoperability protocols. By establishing a robust foundational framework, our paper endeavours to spearhead the discourse on IoT applications, privacy paradigms, and security frameworks, paving the way towards a resilient and interconnected future.

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“…The proposed system's is upheld by Raspberry Pi and Arduino board. As for the video monitoring, the software is given by OpenCV whereas for SMS and email notifications, Global System for Mobile communication (GSM) module is utilized [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Designing an Autonomous Triggering Control System via Motion Detection for IoT Based Smart Home Surveillance CCTV Camera

Chong¹,

Ganesan²,

Than³

et al. 2023

Malaysian J. Sci. Adv. Tech.

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Security is essential in our daily lives, whether in a personal, home, business, or industrial setting. As a result, to ensure high security, a complicated surveillance system is required. This is typically not cost effective, necessitates more consumable electronic devices, requires more maintenance, and needs more storage space in settings. Hence, the goal of this research is to create a single, small, and simple IOT-based smart closed-circuit television (CCTV) control system. A low-cost smart security system can well be built using the Raspberry Pi microprocessor. The components involve are a camera, a sensor, and a Raspberry Pi board. The proposed smart surveillance system creates a comfortable and safe environment for households to initiate immediate recording of the surrounding upon triggering of sensors assemble at the specific entrance or exit points at home. Raspberry Pi microprocessor is used to be integrated with closed-circuit surveillance camera with motion detection, allowing smart automation of home surveillance system at a cost-effective manner. When the Raspberry Pi is connected to the Internet, the user may even remotely turn on or off the CCTV using the smartphone application. The system was tested with movement at the sensor from a range of distances based on the location setting. It can deliver the anticipated output such as alarm triggering, automated initiating recording of surrounding from the CCTV camera, sending an alert notification to the user's mobile phone, allowing monitoring of the location setting through the user's device, as well as turning off the CCTV camera through the user's device via the developed system.

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Implementation of IoT-Based Smart Video Surveillance System

Cited by 23 publications

References 8 publications

Research on Security Situation Assessment Model of Video Transmission Network

Research on Security Situation Assessment Model of Video Transmission Network

Internet of Things (IoT) of Smart Homes: Privacy and Security

Designing an Autonomous Triggering Control System via Motion Detection for IoT Based Smart Home Surveillance CCTV Camera

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