A VISUAL AND AI-ASSISTED APPROACH TO NETWORK SCANNING FOR CYBERSECURITY AWARENESS
Mir Kanan Aghazada Mir Kanan Aghazada · PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions · 2025
In today's rapidly evolving, fast-paced digital world, it is essential that organizations of all sizes possess solid network security. However, most network scanning products currently available are suited for technically proficient individuals and often utilize command-line interfaces (CLI) that represent a high hurdle to non-technical individuals in terms of usability. This paper provides a conceptual and empirical exploration of network security made easier through a GUI-based scanning product. The proposed system has an easy-to-use interface that allows the users to do host discovery, port scanning, hostname lookup, and MAC address lookup without the necessity of extensive technical knowledge. By implementing artificial intelligence for aiding IP and subnet scans, the software generates dynamic recommendations and risk scores based on scan outcomes. This approach bridges the gap between technical complexity and ease of use, making the scanning of networks more user-friendly and understandable. Development of this solution addresses an essential void in both educational and working settings, particularly for novice IT personnel, small business owners, and computer security students. It also supports greater communication among technical personnel and decision-makers, which provides for more effective response to network threats. The research shows that a graphical, easy-to-use interface could significantly boost user activity, comprehension, and response time compared with traditional tools. This article emphasizes the importance of usability within cybersecurity software and encourages broader utilization of GUI-based scan tools enabling users to step forward and take proactive steps in order to secure their networks. Keywords: Network Scanning, GUI-Based Security Tools, Cybersecurity Accessibility, AI in Network Security, Usability in Cyber Defense, Vulnerability Assessment.