Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 7 Issue 2
March-April 2026

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Detection of Web Attacks Using Signature-Based Network Intrusion Detection System

Author(s) Mr. Aditya Yadav, Mr. Dhruv Pratap Singh, Mr. Yash Borai, Dr. Shipra Saraswat
Country India
Abstract Web apps spreading fast have made networks more visible to digital dangers along with harmful intrusions. Instead of secure walls, weak spots appear through actions like slipping code into databases, sneaking scripts across sites, flooding systems until they freeze, or guessing passwords nonstop. Watching data move becomes key when spotting risks early - this is where tools called intrusion detectors step in. Rather than guess what might happen, these systems often rely on stored blueprints of past attacks to raise alarms. Matching live traffic against familiar danger signs works well - if the pattern fits, the alert sounds. A pattern-matching tool scans data flowing across networks, checking each piece against stored records of recognized cyberattacks to spot harmful actions. If something lines up, warnings pop up so tech staff know trouble might be near. This document looks into how such tools are built, what they do, and how they run when catching online threats. It weighs their strong points, weak spots, and real-world results spotting different kinds of digital dangers. Results show these systems work well on familiar risks, boosting protection if fresh threat details get added often.
Keywords Network Security, Signature-Based Intrusion Detection, Web Application Attacks, Deep Packet Inspection, Threat Detection, Cyber Attack Detection, Pattern Matching Algorithms, HTTP/HTTPS Traffic Analysis, Security Monitoring Systems.
Field Computer > Network / Security
Published In Volume 7, Issue 2, March-April 2026
Published On 2026-04-02
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E-ISSN 3048-7641
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