Network Packet Sniffer and Traffic Analyzer for Real-time Data Monitoring
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Date
2026
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Publisher
New Horizon College of Engineering
Abstract
The domain of this project belongs to Computer Networks, specifically focusing on Network Traffic Monitoring, Packet-Level Analysis, and Network Security Operations [1]. In today’s hyper-connected environment, computer networks serve as the backbone for communication between devices, services, cloud platforms, and enterprise applications [2]. Every interaction whether browsing a website, streaming a video, sending an email, or accessing a database involves countless packets moving seamlessly across the network [3]. Understanding these packets is essential for ensuring that the network remains efficient,
secure, and reliable [3].
As modern networks continue to scale due to cloud adoption, IoT expansion, and distributed systems, the volume and variety of data transmitted have grown enormously [4]. This creates new challenges for administrators who must maintain visibility into what is happening within the network at any given moment [5]. Packet analysis helps bridge this gap by offering a microscopic view of network behavior, allowing engineers to see exactly how data is formed, transmitted, and interpreted across devices [5]. Such insight is crucial not only for performance monitoring but also for identifying misconfigurations, failures, and malicious activity [6]. Network security is another critical aspect of this domain [7]. Cyber threats such as spoofing, sniffing, malware distribution, unauthorized access, and data exfiltration often manifest as unusual or abnormal network traffic [7]. By examining packet patterns and protocol behavior, these threats can be detected early before they disrupt systems or compromise sensitive information [8]. Traditional firewall logs and system alerts are often insufficient to capture low-level anomalies, making packet-level inspection an essential layer of definitions in modern cybersecurity frameworks [9].