{
  "id": 12242,
  "url": "https://arxiv.org/abs/2607.17105v1",
  "title": "A Multi-Model Hybrid Defense Approach Against White-box Adversarial Attacks in Computer Network Traffic",
  "summary": "It is crucial to safeguard computer networks from evolving network security threats and unknown cyberattacks. An essential tool for protecting computer networks against unknown cyber threats is Network Intrusion Detection System (NIDS). However, NIDS faces a major security concern due to its susceptibility to adversarial attacks. Adversarial attacks aim to deceive NIDS by crafting and injecting adversarial examples into the system. These adversarial inputs can deceive the NIDS into misclassifyin",
  "authors": "Khushnaseeb Roshan",
  "category": "research",
  "topics": "military-security",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-19T07:20:37.000Z",
  "fetched_at": "2026-07-21T05:10:12.656Z",
  "source_slug": "x-arxiv-cs-cr-ai-security",
  "source_name": "arXiv cs.CR (AI security)",
  "source_homepage": "https://arxiv.org/list/cs.CR/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12242",
  "original_url": "https://arxiv.org/abs/2607.17105v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}