Breakthroughs and Challenges: Cloud Security Technology Architecture and Application Prospects

    With the development of digital and network technology, the concept of "cloud" appears more and more around us. As the demand for multi-level cross-regional large-scale networking and massive data processing of public security video surveillance systems becomes more and more urgent, cloud technology is also increasingly used in video surveillance systems.

　　Cloud security technology architecture and application prospects

　　Cloud security is based on the Internet of Things model and uses cloud storage technology to meet the needs of modern security. The specific implementation refers to the use of cluster applications, grid technology, distributed file systems and other functions to bring together video surveillance, access control, RFID radio frequency identification, intrusion alarm, fire alarm, SMS alarm, GPS satellite positioning and other technologies through the "cloud" to work together, exchange information and communicate, and complete intelligent identification, positioning, tracking and monitoring security management. Users can conduct 24-hour seamless remote supervision through C/S, B/S and mobile device clients.

　　From the perspective of technical architecture, cloud security can be divided into four layers: perception layer, network layer, processing layer and application layer.

　　The perception layer is composed of various sensors and sensor gateways, including cameras, microphones, fingerprint sensors, intrusion detection, smoke detection, vibration detection, temperature detection, RFID, QR codes, GPS and other perception terminals.

　　The network layer consists of various private networks, the Internet, telephone networks, and wireless communication networks.

　　The processing layer consists of centralized storage services, alarm services, message services, data services, etc.

　　The application layer is the interface between the Internet of Things and users (including people, organizations and other systems), and is combined with industry needs to realize the intelligent application of the Internet of Things.

　　As a major branch of the security field, video surveillance consumes a lot of network bandwidth. At present, it may not fully meet the conditions for data centralization. The application of cloud security technology in the monitoring field will still have a long way to go, but with the rapid development of network technology, the obstacles that affect its promotion will be fundamentally solved, and cloud security will have a bright future.

　　Cloud monitoring overcomes five major technical challenges

　　The emergence of cloud technology has changed the traditional mode of security video surveillance, and network monitoring has been realized with the help of the "cloud" concept. Cloud computing not only makes massive surveillance storage possible, but also makes massive video data mining a reality. Although cloud applications have many advantages in the security field, the integration of IT fields represented by cloud and security still faces considerable adjustments.

　　1. Bandwidth

　　Video surveillance systems based on the cloud concept still face considerable difficulties in bandwidth transmission. Cloud surveillance focuses on transmitting massive amounts of video data on different networks. When the bandwidth is insufficient, cloud surveillance cannot be used. Network bandwidth is the channel through which you obtain information from the Internet, and this channel is the important way you need to obtain video information from the "cloud". Of course, the download speed required for normal Internet access is different from the upload speed for surveillance.

　　For example, a small retail store with 5 HD cameras needs 10Mbps bandwidth to obtain real-time HD video cloud. Obviously, ordinary residents' ADSL can hardly meet this bandwidth. When public network applications are not feasible, they can only deploy dedicated ones, but the price is surprisingly high. Some security companies provide leasing services, providing users with online HD videos in a third-party and "hybrid cloud" mode. Similarly, there are also small-resolution cloud storage solutions that help to make up for the problem of insufficient bandwidth.

　　2. Video data management

　　Cloud storage uses a lot of bandwidth for video, which brings about the subsequent problem of massive data storage. Most surveillance storage solutions assume local storage. Taking the above surveillance solution as an example, if 1TB of storage is required per month, the user spends more than 1,000 yuan to buy a 1TB hard drive. But you should also pay attention to its hidden costs, including data transmission fees, data redundancy costs, or the most basic electricity costs for real-time monitoring.

　　In order to solve the hidden costs, users have to reduce resolution and storage requirements, and even worse, the video quality is reduced. Security cloud monitoring solutions make storage easier, and hybrid cloud solutions can store high-definition videos remotely, which is far better than local storage.

　　3. Real-time monitoring

　　When the monitoring content involves security and financial management, it is important to achieve zero-second delay monitoring. People's understanding of real-time monitoring can be equated with the requirement for high-definition image quality. Cloud video monitoring can not only achieve fast real-time access, but also ensure quality. Popular remote video tools such as QQ will have delays, but as a remote monitoring and management system, real-time monitoring not only requires a reliable network environment, but also has extremely high requirements for equipment software.

　　4. Monitor and manage and coordinate work

　　Internet-based cloud monitoring has also changed the way companies communicate with users. An enterprise manages thousands of devices for different users, some of which are monitored thousands of miles away. It takes some effort to manage multiple monitoring devices. Especially for cameras used in different fields, it is necessary to ensure that their normal operation records are recorded. Mastering the report on system performance has become the core of cloud monitoring solutions.

　　In order to prevent these cameras that are far away from home from being faulty, it is necessary to remotely upgrade the systems of these devices and troubleshoot other problems. This approach saves manpower costs and makes monitoring management more efficient.

　　5. Cloud services give users more choices

　　Cloud storage solutions and service providers must face a cruel fact: if they cannot win the trust of users and provide key business services and data, users are likely to choose other service providers. Without involving any hardware costs, it seems that all enterprises need to do is to ensure that surveillance cameras and encoders meet the mainstream trend, and the compression algorithm and transmission protocol must refer to the mainstream standards. Integrate their own distinctive businesses to ensure that customers experience the unique cloud surveillance service.

　　As cloud monitoring services gradually improve, enterprises and users will face more difficulties. But please remember that cloud monitoring is not the same as traditional CCTV closed-circuit television monitoring systems. We need to give it time to adapt to today's network environment and user consumption awareness. Technology is no longer a problem, and the future development of cloud security technology is the key.