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Web applications face constant cyber threats. SQL Injection (SQLi) and Cross-Site Scripting (XSS) attacks are common and dangerous. Traditional security systems use fixed rules to detect these attacks. However, these systems often miss new or hidden attack methods. This paper presents a smart solution. We combine Suricata, a powerful security system, with machine learning technology. Our new system can learn and adapt to find attacks that old systems miss. The results are promising. Our intelligent system catches more real attacks. It also reduces false alarms. This makes security teams more effective.

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Intelligent Detection System with a Machine Learning Extension to Suricata

  • 会议论文

  • 发表日期：

    2026年

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  • Vyom Rohila,
  • Shaligram Prajapat,
  • Pulkit Vaishnav,
  • Ajay Malviya,
  • Sunny Raikwar

摘要

Web applications face constant cyber threats. SQL Injection (SQLi) and Cross-Site Scripting (XSS) attacks are common and dangerous. Traditional security systems use fixed rules to detect these attacks. However, these systems often miss new or hidden attack methods. This paper presents a smart solution. We combine Suricata, a powerful security system, with machine learning technology. Our new system can learn and adapt to find attacks that old systems miss. The results are promising. Our intelligent system catches more real attacks. It also reduces false alarms. This makes security teams more effective.