In addition, most of the previous work related to malicious traffic identification extracted features directly from the data flow without recording the extraction process, making it difficult for subsequent traceability. Most of the traditional traffic identification methods on TLS malicious encryption only adopt the common characteristics of ordinary traffic, which results in the increase of coupling among features and then the low identification accuracy. With more and more malicious traffic using TLS protocol encryption, efficient identification of TLS malicious traffic has become an increasingly important task in network security management in order to ensure communication security and privacy. The work is tested for memory usage and the strength of the security it provides. As such it provides robust protection against attacks and data manipulation. The result of this work is the development of a security interface that provides support for any cryptographic algorithm, uses Internet Protocol (IP) mapping to prevent access to the devices behind the interface from non-authorized IP addresses. The solution improves the security of the data that IoT devices send to remote services by performing compatible cryptographic algorithms on the data before it sends to remote services. The security interface provides mapping for the IoT device remote services as long as support for stronger cryptographic algorithms.

This work proposes an approach to adding a simple interface as a security gateway architecture for IoT devices. processing power and storage requirements) that would provide a basis for strong security and encryption algorithms. It is not a secret that Internet of Things (IoT) devices often come with not so realistic processing power (i.e.

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