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.