In recent years, the biggest technical revolution has
taken place in the IT field. That’s cloud computing technology. Based on the architecture
and implementation of cloud computing technology in this new IT services, all
IT infrastructure will be virtualized. According to the needs of users, it will
provide the required software, data and storage, etc. via the Internet. Cloud
computing languages are: SaaS(Software as a Service), PaaS(Platform as a
Service), IaaS(Infrastructure as a Service).
Cloud computing
technology will revolutionize the application of network video surveillance, namely
that the video service, VaaS. For users, it will greatly reduce them enormous
pressure to learn IT technology. In addition, the back-end storage devices will
no longer be visible to user, which avoid a huge investment in equipment
maintenance by someone.
cloud monitoring |
As we all know, real-time video is the main
feature of video surveillance. And the cost of this feature to meet is the high
requirements for network bandwidth and storage. As rapid deployment of network
technologies such as EPON, GPON and FTTH, FTTB networks, applications of 3G, 4G
LTE, WIFI wireless broadband technology, as well as the optimization for
compression coding technology, bandwidth issues will no longer be the main
problem. The cloud-based storage solutions will provide massive storage
services. Virtualization, loading balancing and grid computing technology deployed
in the back end will greatly solve the storage problem.
Currently, the architecture, deployment, products,
management, security, and operation of network video surveillance based on
cloud computing technology has matured, especially growing at 20-30% annual
growth rate in Europe and other countries. Many domestic manufacturers have
begun to deploy cloud-based computing architecture network video surveillance
products in some areas. Current network video surveillance with cloud computing
architecture mainly approaches by "private cloud". With the
investment in safe city, digital city and the wisdom of the city by China
Telecom, China Mobile and China Unicom, the "public cloud" of video
surveillance will gradually go out into the civil security, such as small and
medium enterprises, chain enterprises and individual users.
In addition, although intelligence is one trend of
the video surveillance, intelligence analysis has been the hot spots of
development, but never achieved greatly. The reason is lack of good basic of calculations,
such as the CPU calculations capabilities of network camera or NVR. The
cloud-based video analysis will provide the best platform and computing power.
Video content analysis only get through the clouds,
the user is able to analyze the vast amounts of information with the help of huge
virtual computing power, such as human face to statistics, counting, features-based
quick search intelligent functions. This application is also known as IaaS
(Infrastructure as a Service), and this is also the main usage in network video
surveillance. On IaaS, network video surveillance, based on cloud computing
architecture, can provide users massive storage space and limitless computing
power that can be easily extended.
Technical capabilities provided by cloud computing
will realize the function that the user terminal - network cameras’ plug and
play, configuration by need. That’s VsaaS. VsaaS is to configure memory space, video
programs and mobile applications according to the user's own needs. All of that
really realizes free access at any time and any local as the real needs.
Obviously, the
convenience of network is bound to bring requirements for the security of network
video data. Data security service (PaaS), the security features on the platform
of cloud computing will be more perfect, in particular, can make up for almost
undefended vulnerabilities of the current network camera surveillance. Opt for
IPSec in the network layer or TLS in the transport layer to encrypt the secure
transmission of data. Opt for S/MIME mechanism end-to-end encryption in the
application layer, also opt for RSA to encrypt the dialogue during transmission,
the content transmitted may be using DES, 3DES, AES encryption algorithms.
The data storage
may encrypt by opting for 3DES, AES or SM1 algorithm for encryption. For
example, there is security encrypted cameras using 128-bit SM1, SM2, DES/3DES
symmetric encryption algorithm. The transmission process using 1024 RSA
algorithm, supports PADDING way eligible PKCSII standard. Signature algorithm
supports 1024-bit RSA algorithm, hash algorithm supports HASH including SHA-1,
MD5, SCH, etc., to ensure data security.