I. INTRODUCTION & MOTIVATION  
II. EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI)  
A. NOTIONS OF EXPLAINABILITY  
C. MEASURES FOR EVALUATING EXPLAINABILITY TECHNIQUES  
III. SURVEY & TAXONOMY  
IV. APPROACHES TO EXPLAINABLE IDS (X-IDS)  
A. BLACK BOX X-IDS MODELS  
B. WHITE BOX X-IDS MODELS  
V. DESIGNING AN EXPLAINABLE IDS (X-IDS)  
A. PRE-MODELING PHASE  
B. MODELING PHASE  
C. POST MODELING EXPLAINABILITY PHASE  
VI. RESEARCH CHALLENGES & RECOMMENDATIONS  
A. DEFINING EXPLAINABILITY FOR INTRUSION DETECTION  
B. DEFINING TASKS AND STAKEHOLDERS  
C. EVALUATION METRICS  
D. ADVERSARIAL AI  
E. MISLEADING/INCORRECT EXPLANATIONS  
F. SCALABILITY AND PERFORMANCE  
VII. CONCLUSION