### Research Methodology and Selection Criteria  
The research methodology of this review includes a systematic analysis of the existing literature, case studies, and empirical data on drone security, forensic approaches, and persistent security challenges. This approach aims to provide a comprehensive understanding of UAV security and forensics, highlighting key components, challenges, and potential solutions. The research methodology and source selection criteria are outlined below:  
A thorough search of scholarly databases, online repositories, and professional journals was conducted to find relevant articles, books, reports, and conference proceedings on drone security, forensics, and industry applications. A systematic search query using relevant keywords and phrases related to UAV security, forensics, and industry applications was designed. Data were gathered from various platforms, including Google Scholar, ACM Digital Library, ScienceDirect, IEEE Xplore, Scopus, and Springer using the following search queries:  
1. Query A: ((\"drone security\" OR \"UAV security\" OR \"unmanned aerial vehicle security\") AND (\"forensics\" OR \"cybersecurity\" OR \"digital forensics\") AND (\"smart cities\" OR \"urban management\");
2. Query B: ((\"drone forensics\" OR \"UAV forensics\") AND (\"data integrity\" OR \"digital evidence\" OR \"incident response\") AND (\"cyber attacks\" OR \"security threats\");
3. Query C: ((\"unmanned aerial vehicle\" OR \"drone technology\") AND (\"threat models\" OR \"attack vectors\" OR \"security vulnerabilities\") AND (\"data protection\" OR \"encryption\" OR \"secure communication\"));
4. Query D: ((\"drone operation\" OR \"UAV deployment\") AND (\"security protocols\" OR \"forensic methodologies\") AND (\"case studies\" OR \"real-world applications\"));
5. Query E: ((\"drone forensic analysis\" OR \"UAV forensic techniques\") AND (\"machine learning\" OR \"artificial intelligence\" OR \"predictive analytics\") AND (\"emerging trends\" OR \"future research\" OR \"innovation\")).  
The research selection process, detailed in Appendix A, began with 2154 records identified through database searches. After removing 1608 duplicates and ineligible records, 546 remained for screening. Of these, 383 were excluded based on relevance and quality. Out of 163 papers sought, 47 were not retrievable, leaving 116 for eligibility assessment. Exclusions included 40 non-peer-reviewed, 25 irrelevant, 10 lacking empirical support, 17 older publications, and 11 non-English papers, totaling 103 exclusions. Ultimately, 13 studies were included in the review, with 113 studies considered for final analysis.  
The review followed strict inclusion and exclusion criteria to ensure study relevance and quality, as detailed in Appendix B. The inclusion criteria were: peer-reviewed status,relevance to UAV security and forensics, empirical evidence, publication within the last 10 years, and availability in English. Each study was verified for these criteria. Exclusions were non-peer-reviewed, irrelevant, lacking empirical support, older than 10 years, or not in English. This systematic approach ensured the review included only high-quality, relevant, and recent studies, enhancing the robustness and reliability of the findings.