Detection-and-Mitigation-for-CVE-2022-2639

Detection-and-Mitigation-for-CVE-2022-2639 説明 Open vSwitch カーネルモジュールは、選択したネットワークデバイス上のフローレベルのパケット処理を、ユーザースペースから柔軟に制御できます。プレーンなイーサネットスイッチ、ネットワークデバイスのボンディング、VLAN 処理、ネットワークアクセス制御、フローベースのネットワーク制御などの実装に使用できます。攻撃を防ぐため、使用しない場合はこのカーネルモジュールを無効にすることをお勧めします。 インストール root@kitploit: wget...

Robust Semi-Supervised Temporal Intrusion Detection for Adversarial Cloud Networks

Cloud networks increasingly rely on machine learning based Network Intrusion Detection Systems to defend against evolving cyber threats. However, real-world deployments are challenged by limited labeled data, non-stationary traffic, and adaptive adversaries. While semi-supervised learning can...

BLADE: Behavior-Level Anomaly Detection Using Network Traffic in Web Services

With their widespread popularity, web services have become the main targets of various cyberattacks. Existing traffic anomaly detection approaches focus on flow-level attacks, yet fail to recognize behavior-level attacks, which appear benign in individual flows but reveal malicious purpose using...

IDGraphs: Intrusion Detection and Analysis Using Stream Compositing

Traffic anomalies and attacks are commonplace in today's networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusion detection system IDS, it is crucial to detect at the flow-level for accurate detection and mitigation. However, existi...