Optimization of a Depiction Procedure for an Artificial Intelligence-Based Network Protection System Using a Genetic Algorithm

Abstract

The current demand for remote work, remote teaching and video conferencing has brought a surge not only in network traffic, but unfortunately, in the number of attacks as well. Having reliable, safe and secure functionality of various network services has never been more important. Another serious phenomenon that is apparent these days and that must not be discounted is the growing use of artificial intelligence techniques for carrying out network attacks. To combat these attacks, effective protection methods must also utilize artificial intelligence. Hence, we are introducing a specific neural network-based decision procedure that can be considered for application in any flow characteristic-based network-traffic-handling controller. This decision procedure is based on a convolutional neural network that processes the incoming flow characteristics and provides a decision; the procedure can be understood as a firewall rule. The main advantage of this decision procedure is its depiction process, which has the ability to transform the incoming flow characteristics into a graphical structure. Graphical structures are regarded as very efficient data structures for processing by convolutional neural networks. This article’s main contribution consists of the development and improvement of the depiction process using a genetic algorithm. The results presented at the end of the article show that the decision procedure using an optimized depiction process brings significant improvements in comparison to previous experiments.

Special-Purpose English Teaching Reform and Model Design in the Era of Artificial Intelligence

“…Dolezel et al introduced a specific neural network-based decision procedure that can be considered for any traffic-characteristic-based network traffic processing controller. is decision-making process is based on a convolutional neural network that processes input stream features and provides decisions and it can be understood as firewall rules [8]. Maham studied the mechanical properties of two different types of recycled concrete (using wood and rubber) relative to pure concrete in terms of maximum load and natural frequency [9].…”

Practical Exploration on the Construction of Theoretical Courses of Composition Technology in the Age of Artificial Intelligence

“…e following is the application of artificial intelligence in various fields. Dolezel [6] introduced a specific neural networkbased decision procedure that can be considered for any network traffic processing controller based on traffic characteristics [6]. Musulin et al [7] discussed the applicability of machine learning (ML) and evolutionary computation (EC) methods focused on regressing the epidemiological curve of COVID-19 and outlined the usefulness of existing models in specific domains [7].…”

Scientific and Methodological Approach to Strengthening Intellectual Security and Human-Centricity through Optimizing the Use of Artificial Intelligence

“…Research by Dolezel, et al (2012) proposes a method for optimizing a network security system based on AI.…”