IEEE CIC 2026 Research Track

• TRACE: An Exposure-Aware Diagnostic Metric Suite for Corpus Poisoning in Arabic RAG Pipelines
  Mitha Alshammary, Md Nahiyan Uddin, Latifur Khan
• Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection
  Kaysarul Anas Apurba, Md. Hasibul Hasan, Mahedee Zaman Moon, Sk. Md. Mizanur Rahman, Atsuo Inomata
• Performance Interference Detection for Cloud-Native Applications Using Unsupervised Machine Learning Models
  Eli Bakshi, Sumona Mukhopadhyay, Diwakar Krishnamurthy, Joydeep Mukherjee
• STRAP-FL: Adaptive Federated Learning under Concept Drift and Data Streams
  Divya Bhatt, Le Gruenwald, Egawati Panjei
• Goal-Adaptive Joint Action–Deferral Optimization for Capacity-Constrained Human–AI Quality Control in Automotive Remanufacturing
  Jing Chen, Liang Chen
• Sentence Specificity Scores for Collaborative Technical Documentation
  Rocker D'Antonio, Thomas Benton Townsend, Dimitrios Michael Manias
• An Empirical Evaluation of Large Language Models to Generate Unit Test Code for Industrial Automation Controllers
  Md Humaun Kabir, Md Rakibul Islam, Helen Lou
• FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
  Shaswata Mitra, Subash Neupane, Martin Duclos, Sudip Mittal, Aritran Piplai, Md Rayhanur Rahman, Edward Zieglar, Shahram Rahimi
• Confidence-Gated AIOps: A Reversibility-Aware Reference Architecture for Predictive Autoscaling in Cloud-Native Systems
  Jyostna Seelam, Abdul Rasheed Shaik, Khadarvali Shaik
• Neuro-Symbolic AI for Trustworthy Clinical Reasoning: A Verification-Stage Taxonomy and Evidence Survey
  Firoj Husen Shaikh, Subash Neupane, Himanshu Tripathi
• Graph-Aware Reinforcement Learning for Network Resilience: A Comparative Study of Reward Design
  Shivam Verma, Alex Modarresi, John Symons

IEEE CIC 2026 Application Track

• An Intelligent Agentic AI Framework for Autonomous Network Performance Diagnosis and Self-Healing Using AIOps and Machine Learning
  Mohit Bajpai
• Auditing Search Before Content Verification: A Manifest-Gated Study of YouTube API Availability and Stability
  Liang Hu
• Ask, Answer, or Abstain: Auditing Ambiguity in Chinese Automotive-Parts Queries
  Liuye Hua, Leixin Zhang, Jiong Zheng, Haoze Zheng
• From Ambiguous Requirements to Hallucinated Tests: A Multi-Domain Study of the Mirror Effect in LLM-Assisted Software Testing
  Kiran Paul Kanikaram
• Unified Cross-Layer Log Analytics for Anomaly Detection in Enterprise IT Systems
  Haitham Khalifa, Ahmed Kamal, Yasser Youssef
• Veracity-Aware Machine Learning Data Exchange: Grounding JSON-LD in Subjective Logic
  Muntaser Syed, Sheikh Abujar, Marius Silaghi