Influencing Factors and Preventive Measures of Computer Network Security Technology

Abstract

The escalating reliance on digital infrastructure has rendered computer network security a critical area of research, particularly in mitigating risks associated with personal information leakage and privacy breaches. This study investigates the multifaceted influencing factors compromising network security technology, with a specific focus on preventing security vulnerabilities arising from improper operations. Our analysis identifies a tripartite classification of core challenges: (1) internal system factors, including software flaws, inherent hardware vulnerabilities, and misconfigurations; (2) external environmental threats, such as malicious cyber-attacks (e.g., phishing, malware, and Distributed Denial-of-Service attacks); and (3) human-centric factors, predominantly non-compliant operational practices and a lack of security awareness among end-users. The convergence of these factors creates significant attack vectors, exposing systems to data exfiltration and unauthorized access. In response to this threat landscape, this paper proposes a holistic framework of optimized preventive measures designed to bolster the robustness of computer network security technology. The integrated strategy encompasses the implementation of robust information technology encryption protocols (e.g., AES for data-at-rest and TLS for data-in-transit) to ensure data confidentiality and integrity. Furthermore, we advocate for the deployment of multi-factor authentication (MFA) systems to provide secure authentication of identity information, substantially elevating the barrier against unauthorized access. Finally, the strategic configuration and continuous monitoring of next-generation firewall (NGFW) security systems are emphasized to filter network traffic, block malicious payloads, and enforce security policies at network boundaries. The synergistic application of these strategies is posited to form a resilient defense-in-depth architecture, thereby significantly enhancing the overall security posture, protecting user data privacy, and mitigating the risks identified in our factor analysis.