From Hexadecimal To Human-Readable: AI Enabled Enhancing Ethernet Log Interpretation And Visualization

Abstract

A term research paper presents a novel application of optimization and machine learning to networking with the following objectives: 1) converting binary data to human-readable form rather than the use of one of the existing network high-level packet analysis visualizations such as ethereal and shark or alternatives like hex editors, scripting languages, web servers for binary data. For UNIX/Linux OS, the Stack Glance tool from the Firewalls deployment suite can provide the needed result more smartly with high performance while doing much more work and saving time. With a high level of possibility, the Stack Glance visualizer supports filtering rulesets presented in text format and implements file feeding of log files. Popular DIY Feeding often used, as in our case, is the Robust Socket Chains (RSC) solution to provide horizontal scaling for the Stack Glance. RSC allows parallel execution consuming kind of build system with intelligent file partitioning or without partitioning. Releasing a new system, including IP rerouting for the parallel execution cost optimization based on the counting of logs reports, was done before the new packaging build.Vulnerabilities are typical to deep packet inspection devices. Such toolkits are usually intended neither to break anything before it's implemented in the real packet bypass or QoS field-specific implementation nor to build any infrastructure for the necessary results. A large amount of logs or a large enough number of instances for the same device should be harmful to using DPE/I for the network. Small logs and numerous UK small cyber-based businesses are still alive and growing. The solution was required: such a filtering solution, which is effective for high-capacity networks with low-capacity openings. Security event management systems do the job but not in a real-time, effective, and cost-efficient way. The value of results by false positive increasing became extremely high. Enhancements were introduced. The suggested solution is designed to boost these systems' implementation performance in case and network services in question are ready to solve about 700 VoIP issues.