What is the future development of network security?

First of all, from the current development trend, with the promotion of industrial Internet, network security will be paid more and more attention in the future. On the one hand, industrial Internet further promotes the combination of the Internet and the physical field, which obviously expands the traditional network application boundary, and also makes network security have a greater and greater impact on industrial scenes. On the other hand, with the promotion of the new infrastructure plan, a large number of social resources and industrial resources will be fully digitized in the future, which will inevitably put forward more requirements for network security.

judging from the current talent training system, the training of network security talents includes both undergraduate education and specialist education, as well as postgraduate education. Therefore, there are many ways to become network security talents, and you can choose different education methods according to your own actual situation. For the current professionals, if conditions permit, it is a good choice to enter the field of network security through graduate school. In recent years, the employment situation of graduate students in the field of network security is still good.

compared with the era of consumer internet, in the era of industrial internet, the technical system of network security will be fully extended to emerging fields such as internet of things, big data and artificial intelligence, and the technologies in these emerging fields are still in the process of rapid development, so the requirements for security in these fields are also urgent. Taking big data as an example, big data will comprehensively promote the process of data value, and big data itself will create a huge value space based on data value, but without security as a guarantee, big data will not go far.

Because network security is related to many technical systems, there are many contents involved. For example, the equipment layer, network layer, platform layer, data layer and application layer of the Internet of Things all have corresponding security requirements, so learning network security often requires a systematic learning process, and the learning difficulty is relatively high. Because the Internet of Things has great development potential in the 5G era, and as an important carrier, it can carry a lot of technologies such as big data, cloud computing and artificial intelligence, so it is a good choice to develop in the direction of Internet of Things security.

Learning network security requires a solid knowledge of computer and network, and if you want to engage in research and development positions in the field of network security in the future, you need to have a solid mathematical foundation. Because the overall knowledge is very large, learning network security should first have its own learning entry point. For people with strong hands-on ability, they can start from the basic knowledge of the network, and then gradually understand the relevant knowledge of various network security devices.

judging from the demand for security talents in the field of internet of things, there are a large number of talents in the field of industrial applications, and the entry threshold for these positions is not high. The key work content lies in the design, deployment and maintenance of network security solutions, such as the security and debugging of various firewall devices. These contents can usually be mastered smoothly after a systematic learning process, and the key point is to do more experiments.

Finally, in the process of learning network security, it is not recommended to learn without the practice scene. On the one hand, network security itself has higher requirements for the experimental environment, on the other hand, the knowledge accumulated in the practice process will have very strong scene attributes. Usually, after mastering the basic knowledge of security technology, you should find an internship position to continue to improve. When choosing an internship position, you can focus on emerging fields, such as big data and the Internet of Things.