Intelligent Contextualized Network Traffic Generator in a Cyber Range
Aymeric Doussau, Clément Charles Pierre Souyris, Muhammad Mudassar Yamin, Basel Katt, Mohib Ullah · 2023
The surge in cyber threats has emerged as a significant apprehension for governments, industries, and global public services. With attacks proliferating across strategic, political, and financial domains in a world heavily dependent on IT, the urgency to address this menace has intensified. Institutions, in response, have accorded priority to discovering protective solutions that necessitate adept tools. The inception of cyber ranges, constituting secure and adaptable environments replicating computer networks, has facilitated comprehensive institutional training. This training encompasses various echelons within an organization, ranging from management and employees to cybersecurity teams. Cyber ranges empower both private and public entities to mount effective countermeasures against cyber attacks, thereby curtailing their repercussions. A paramount aspect in ensuring training efficacy involves imbuing cyber ranges with utmost authenticity, particularly concerning network traffic. The verisimilitude of network traffic assumes pivotal importance, serving as the linchpin for precise emulation and proficient training of network protection corps. Hence, the creation of a pragmatic and automated network traffic generator becomes imperative to fulfill this exigency. This article delves into the significance of cyber ranges, underscores the necessity of authentic network traffic, and expounds upon the conception of a network traffic generator to augment the caliber of training furnished by cyber ranges.