Judging from the current talent training system, the training of network security talents includes undergraduate education, junior college education and graduate education. Therefore, there are still many ways to become a network security talent, and you can choose different education methods according to your actual situation. For today's 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 security requirements for these fields are also urgent. Taking big data as an example, big data will comprehensively promote the process of data value. 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 involves many technical systems and a lot of content. For example, the device 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, which is relatively difficult to learn. Because the Internet of Things has great development potential in the 5G era, and as an important carrier, it can carry a large number 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 solid computer basic knowledge and network basic knowledge, 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 must first have its own learning breakthrough point. For people with strong hands-on ability, we can start with the basic knowledge of 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 industry applications, and the entry threshold for these positions is not high. The focus is on the design, deployment and maintenance of network security solutions, such as the security and debugging of various firewall devices. After a systematic learning process, these contents can usually be mastered smoothly, with the emphasis on doing more experiments.
Finally, in the process of learning network security, learning without actual scenes is not recommended. On the one hand, network security itself requires higher experimental environment, on the other hand, the knowledge accumulated in practice will have very strong scene attributes. Usually, after mastering the basic knowledge of safety technology, you should find an internship position to continue to improve. When choosing an internship position, you can pay attention to emerging fields, such as big data and the Internet of Things.