Emerging Technologies and Proactive Protection of Law Enforcement Personnel

Mohammad Musa Khorshidi ¹ ( Faraja Center for Strategic Studies )
Hadi Ansari ² ( )

Submited date : 2025-03-09 Accepted date : 2025-10-12

Keywords: Emerging technologies, artificial intelligence, blockchain, proactive protection, surveillance,

Abstract :

Pre-event protection of law enforcement personnel is of particular importance as a preventive approach to ensuring the health and safety of human resources in the security and law enforcement fields. This review article, with the aim of examining the role of new technologies in promoting security and preventing crime in law enforcement forces, has conducted an extensive review of research conducted in this field. Among the key findings of this research, the following can be mentioned: Machine learning algorithms and artificial neural networks are able to identify and predict criminal behavior patterns by analyzing a huge amount of data. This allows law enforcement forces to take preventive action and prevent crime from occurring. By connecting different devices to each other, the Internet of Things allows the collection of a large amount of data that can be used to monitor the environment and identify potential threats. By creating a distributed, immutable ledger, blockchain can help improve transparency, security, and traceability in criminal cases. In addition to the benefits mentioned, this research also addresses the challenges in implementing these technologies. These include privacy concerns, algorithmic bias, and more. Overall, this research shows that new technologies can be used as a powerful tool for crime prevention and proactive protection.

References:

Afshani, A. R. G. (2020). Obstacles and Limitations of Effective Intervention of Police Staff in Dealing with Visible Crimes (Case Study of Fateb Eleventh Police Station). https://api.semanticscholar.org/CorpusID:226057696 [In Persian].
Aghaei, A., Jahedi, P., & Karami, H. (2020). The social construction of desirable behavior of police officers from the perspective of students. https://api.semanticscholar.org/CorpusID:226024940 [In Persian].
Alinejad, M. (1403). The Impact of Technology on Crime Prevention and Detection: Challenges and Opportunities. 10th International and National Conference on Management, Accounting and Law Studies. https://civilica.com/doc/2042286 [In Persian].
Arietti, R. (2024). Do real-time crime centers improve case clearance? An examination of Chicago’s strategic decision support centers. Journal of Criminal Justice, 90, 102145. https://doi.org/10.1016/j.jcrimjus.2023.102145
Awasthi, L. S., Rai, A. K., Awasthi, K. S., Kumar, S., Bajpai, A. K., & Pathak, H. (2023). Cyber Crime Prevention Model Using Artificial Intelligence. Journal of Chemical Health Risks, 13(4s), Article 4s. https://doi.org/10.52783/jchr.v13.i4s.1660
Bag, A., Roy, S., & Pandey, A. (2024). Harnessing the Power of Artificial Intelligence in Law Enforcement: A Comprehensive Review of Opportunities and Ethical Challenges. In A. Ara & A. Ara (Eds.), Advances in Computational Intelligence and Robotics (pp. 121–145). IGI Global. https://doi.org/10.4018/979-8-3693-1565-1.ch008
Barangi, H., Raji, F., & Khaseh, A. A. (2020). Analysis of Security and Privacy Research in the Field of Blockchain: A Scientometric Study. Journal of Soft Computing, undefined(undefined). https://civilica.com/doc/1487151 [In Persian].
Benito, R. C., & Tejera, Y. S. (2020). Experiencia internacional de la aplicación de la prevención situacional como estrategia para la reducción de los delitos. Boletín ONBC. Revista Abogacía, 64.
Cunningham, M. R., Jones, J. W., & Dreschler, B. W. (2018). Personnel risk management assessment for newly emerging forms of employee crimes. International Journal of Selection and Assessment, 26(1), 5–16. https://doi.org/10.1111/ijsa.12202
Dey, N., Hassanien, A. E., Bhatt, C., Ashour, A. S., & Satapathy, S. C. (2017). Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. Springer International Publishing. https://books.google.com/books?id=2fwwDwAAQBAJ
Dharsan, R., Krishanthini, M., Traveena, C., Anubama, L., Hansika, M. M. D. J. T., & Chandrasiri, S. (2023). The Future of Crime Prevention: Police Case Analysis Using Machine Learning. 2023 5th International Conference on Advancements in Computing (ICAC), 454–459.
Dimovski, D., & Grujić, Z. (2024). Possibilities of using artificial intelligence in crime prevention. Bezbednost, Beograd. https://api.semanticscholar.org/CorpusID:271315276
Dlodlo, N., Mbecke, P., Mofolo, M. R. O., & Mhlanga, M. (2015). The Internet of Things in Community Safety and Crime Prevention for South Africa. https://api.semanticscholar.org/CorpusID:53139524
Douglas, S. (2021). The Effects of Body-Worn Cameras on Violent Police Victimization. Policing: A Journal of Policy and Practice, 15(2), 1399–1416. https://doi.org/10.1093/police/paaa032
Eck, J. E., & Clarke, R. V. (2019). Situational Crime Prevention: Theory, Practice and Evidence. In M. D. Krohn, N. Hendrix, G. Penly Hall, & A. J. Lizotte (Eds.), Handbook on Crime and Deviance (pp. 355–376). Springer International Publishing. https://doi.org/10.1007/978-3-030-20779-3_18
Emerging technologies. (2024). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Emerging_technologies&oldid=1253844555#cite_note-1
Eran, M. S., & Hasranizam, H. (2024). The Effectiveness of Crime Prevention Using GIS Technology and CCTV Application for Smart City. In R. N. Yadava & M. U. Ujang (Eds.), Advances in Geoinformatics Technologies (pp. 59–75). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-50848-6_4
Fatih, T., & Bekir, C. (2015). POLICE USE OF TECHNOLOGY TO FIGHT AGAINST CRIME. European Scientific Journal, ESJ, 11. https://api.semanticscholar.org/CorpusID:54086329
Feltovic, M. (2024). Utilizing Blockchain Technology to Modernize Police Operations: Ensuring Security, Transparency, and Efficiency. Eximia, 13, 661–672. https://doi.org/10.47577/eximia.v13i1.493
Fomin, V., & Luk’janova, E. (2023). SOME ASPECTS OF THE ACTIVITIES OF THE INTERNAL AFFAIRS BODIES IN TRANSPORT TO COUNTERACT CRIMES COMMITTED USING INFORMATION AND ℡ECOMMUNICATION TECHNOLOGIES. Man: Crime and Punishment. https://api.semanticscholar.org/CorpusID:268863613
Gazinejad, S., Darvish, H., & Mahmoudi Meymand, M. (2024). Designing a Futures Model of Bank Employees’ Attitudes Regarding Job Security in the Face of Blockchain in the Horizon of 2031. Asset Management and Financing, 12(3), 1–22. https://doi.org/10.22108/amf.2024.139968.1844 [In Persian].
Ghajari, somaye. 2025. “The Impact of Blockchain Technology on Administrative Processes with emphasised on Enhancing Transparency, Efficiency, and Trust.” New Approaches in Public Administration (1):88–109. doi:10.71815/jnapa.2025.1194698 [In Persian].
Hassanvand, A., Rahmati, D., & Abedi, Y. (2014). Factors affecting the commission of financial crimes by NAJA employees and strategies to combat them. NAJA Human Resources Quarterly, 15(64), 9–32 [In Persian].
Hendrix, J. A., Taniguchi, T., Strom, K. J., Aagaard, B., & Johnson, N. (2019). Strategic policing philosophy and the acquisition of technology: Findings from a nationally representative survey of law enforcement. Policing and Society, 29(6), 727–743. https://doi.org/10.1080/10439463.2017.1322966
Iansiti, M., & Lakhani, K. R. (2017). The Truth About Blockchain. Harvard Business Review. https://hbr.org/2017/01/the-truth-about-blockchain
Idy, M. Y. (2022). Law Enforcement Against Members of The Indonesian National Police Commit Crimes. Substantive Justice International Journal of Law. https://api.semanticscholar.org/CorpusID:253059791
Jeon, J., & Jeong, S. R. (2016). Designing a Crime-Prevention System by Converging Big Data and IoT. https://api.semanticscholar.org/CorpusID:114435867
Johnson, S. D. (2024). Identifying and preventing future forms of crimes using situational crime prevention. Security Journal, 37(3), 515–534. https://doi.org/10.1057/s41284-024-00441-5
Jones, H. D. (2016). Body-worn cameras are the cure for the curse of official police misconduct and unlawful use of force complaints.
Kabiru, H. S., Jika, A. J., & Mishra, R. (2024). Company Crime Tracking System Using Blockchain. 2024 2nd International Conference on Disruptive Technologies (ICDT), 1434–1438. https://doi.org/10.1109/ICDT61202.2024.10489118
Kahla, L. Z. (2024). Leveraging Artificial Intelligence for Crime Detection and Prevention. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 08(05), 1–5. https://doi.org/10.55041/IJSREM34207
Kesarkar, T. (2024). Blockchain Technology in Law Enforcement and Security: Overview. International Journal for Research in Applied Science and Engineering Technology. https://api.semanticscholar.org/CorpusID:270810085
Kobets, P. (2024). The causal complex of the emergence of criminal risks caused by the use of artificial intelligence technologies and preventive measures to prevent them. Юридическая Наука и Практика. https://doi.org/doi: 10.36511/2078-5356-2024-1-80-85
Kot, P. (2021). Psychosocial Aspects of Employee Control with the Use of Modern Technologies. Journal for Perspectives of Economic Political and Social Integration. https://api.semanticscholar.org/CorpusID:247309589
Krezi, A. A., Ahmari, H., & Galvardi, M. K. (2021). Prevention of specific military and police crimes in Iranian criminal policy. https://api.semanticscholar.org/CorpusID:238737817 [In Persian].
Lemos, M. H., & Minzner, M. (2014). For-Profit Public Enforcement. Harvard Law Review.
Lunhol, O., & Torhalo, P. (2024). Artificial Intelligence in Law Enforcement: Current State and Development Prospects. Socratic Lectures 10 - Part II, 120–124. https://doi.org/10.55295/PSL.2024.II12
Mastrobuoni, G. (2020). Crime is Terribly Revealing: Information Technology and Police Productivity. The Review of Economic Studies, 87, 2727–2753. https://doi.org/10.1093/restud/rdaa009
Matlala Ramolobi L.G. (2018). Defining e-policing and smart policing for law enforcement agencies in Gauteng Province. Acta Criminologica : African Journal of Criminology & Victimology, 31(1), 136–148. https://doi.org/10.10520/EJC-11c62342cd
Mena, J. (2011). Machine Learning Forensics for Law Enforcement, Security, and Intelligence. Auerbach Publications. https://doi.org/10.1201/b11026
Milidragovic, D., & Milić, N. (2024). Implementation of body cameras worn by police officers in police organizations: Real need or necessary solution. Bezbednost, Beograd. https://api.semanticscholar.org/CorpusID:268435497
Mokhtari, H., & Jalali, S. (2024). The impact of information and communication technology (ICT) and digital data on crime control and prevention in police stations. Digital and Smart Library Research, 11(No. 2 (41)), 13–28. https://doi.org/10.30473/mrs.2024.71441.1595 [In Persian].
Mousavi, P., Salehan, A., & Yousefi-Zanouz, R. (2022). Identifying and reviewing research areas and trends in blockchain technology. Smart Business Management Studies, 10(39), 127–162. https://doi.org/10.22054/ims.2021.64182.2074 [In Persian].
Naylor, R. (2003). TOWARDS A GENERAL THEORY OF PROFIT-DRIVEN CRIMES. British Journal of Criminology, 43, 81–101.
Ninoria, S., Upadhyay, R., Philip, R. S., Dwivedi, R., Micheal, G., Gupta, A., & Mishra, S. (2023). AI and Crime Prevention With Image and Video Analytics Using IoT: In B. K. Pandey, D. Pandey, R. Anand, D. S. Mane, & V. K. Nassa (Eds.), Advances in Computational Intelligence and Robotics (pp. 96–115). IGI Global. https://doi.org/10.4018/978-1-6684-8618-4.ch007
Patel, D., Sanghvi, H., Jadav, N. K., Gupta, R., Tanwar, S., Florea, B. C., Taralunga, D. D., Altameem, A., Altameem, T., & Sharma, R. (2022). BlockCrime: Blockchain and Deep Learning-Based Collaborative Intelligence Framework to Detect Malicious Activities for Public Safety. Mathematics, 10(17), 3195. https://doi.org/10.3390/math10173195
Peterson, B. E., & Lawrence, D. S. (2019). Body cameras and policing. Oxford Research Encyclopedia of Criminology and Criminal Justice.
Poya, M. Sh., Malmir, M., & Shadmanfar, M. R. (2020). Iran's Criminal Policy Towards Crimes of Government Employees. https://api.semanticscholar.org/CorpusID:240499858 [In Persian].
Rahimi, A., & Abbasi Rostami, N. (2021). Investigating the relationship between emotional workforce strategies and employees' off-duty behaviors. Military Sciences and Technologies, 16(54), 99–118. https://doi.org/10.22034/qjmst.2021.243873 [In Persian].
Rai, T. S. (2019). Body cameras and police misconduct. Science, 365(6450), 246.5-247. https://doi.org/10.1126/science.365.6450.246-e
Rajabi Taj Amir, A., Abdollahi, S., & Shoaei, M. (2022). The role of information exchange management in the process of preventing cybercrime. Information Management Sciences and Technologies, 8(1), 427–450. https://doi.org/10.22091/stim.2022.7572.1690 [In Persian].
Rotolo, D., Hicks, D., & Martin, B. R. (2015). What is an emerging technology? Research Policy, 44(10), 1827–1843. https://doi.org/10.1016/j.respol.2015.06.006
Rukinov, M. (2020, December 19). Opportunities for blockchain in police investigations. Cointelegraph. https://cointelegraph.com/news/opportunities-for-blockchain-in-police-investigations
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Pearson.
Amirabbas Sadeghian. (2025). Artificial Intelligence in Governance and the Governance of Artificial Intelligence. New Approaches in Public Administration, 1, 1–36. https://doi.org/10.71815/jnapa.2025.1200094
Saini, H. K., Kussum, & Mandeep. (2023). Artificial Intelligence and Internet of Things: A Boon for the Crime Prevention. 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), 7–11.
Sardana, D., Marwaha, S., & Bhatnagar, R. (2021). Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern Analysis. International Journal of Artificial Intelligence & Applications. https://api.semanticscholar.org/CorpusID:234089169
Shahaab, A., Hewage, C., & Khan, I. (2021). Preventing spoliation of evidence with blockchain: A perspective from South Asia. 45–52.
Shama, N. (2017). A machine learning approach to predict crime using time and location data. https://api.semanticscholar.org/CorpusID:113942997
Sharifi, M. (2020). Personality typology of illegal employees and presenting a clustering model and predicting their violations using data mining. https://api.semanticscholar.org/CorpusID:226167077 [In Persian].
Sharma, A., Yaduvanshi, E., Sharma, A., & Saha, P. (2024). Mitigating SAD States and Maladaptive Coping in Law Enforcement: Enhance Emotional Competence. International Journal of Experimental Research and Review, 40, 132–141. https://doi.org/10.52756/ijerr.2024.v40spl.010
Singh, R., & Ramdeo, S. (2023). Employee Motivation in a Changing Environment. In R. Singh & S. Ramdeo (Eds.), Contemporary Perspectives in Human Resource Management and Organizational Behavior: Research Overviews and Gaps to Advance Interrelated Fields (pp. 191–208). Springer International Publishing. https://doi.org/10.1007/978-3-031-30225-1_11
Stinson, P. M. (2015). Police Crime: The Criminal Behavior of Sworn Law Enforcement Officers. Sociology Compass, 9, 1–13.
Stinson, P. M., Liederbach, J., Buerger, M., & Brewer, S. L. (2018). To protect and collect: A nationwide study of profit-motivated police crime. Criminal Justice Studies, 31, 310–331.
Stinson, P. M., Liederbach, J., Lab, S. P., & Brewer, S. L. (2016). Police Integrity Lost: A Study of Law Enforcement Officers Arrested. https://api.semanticscholar.org/CorpusID:112648472
Stones, E., & Tilley, N. (2022). Situational Crime Prevention. In Encyclopedia of Violence, Peace, & Conflict (pp. 404–412). Elsevier. https://doi.org/10.1016/B978-0-12-820195-4.00291-0
Sukhodolov, A. P., & Bychkova, A. M. (2018). Artificial Intelligence in Crime Counteraction, Prediction, Prevention and Evolution. Всероссийский Криминологический Журнал. https://api.semanticscholar.org/CorpusID:192661875
Talob, A. R., & Asgari, H. (2021). The Relationship Between Key Economic Variables and Crime: A Markov-Switching Approach. https://api.semanticscholar.org/CorpusID:238153672 [In Persian].
Tasnim, M. A., Omar, A. A., Rahman, M. S., & Bhuiyan, M. Z. A. (2018). CRAB: Blockchain Based Criminal Record Management System. International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage. https://api.semanticscholar.org/CorpusID:54461198
Tsvyk, V. A., & Tsvyk, I. V. (2023). Personal information security as a social problem. RUDN Journal of Sociology. https://api.semanticscholar.org/CorpusID:264139194
Tulinov, V. S., Bilykh, I., Merdova, O., Volobuieva, O., & Veselov, M. (2022). Activities of Law Enforcement Agencies in the Context of the Introduction of Innovative Technologies (Comparative Legal Aspect). Cuestiones Políticas. https://api.semanticscholar.org/CorpusID:247689972
Vafaei, Amir, Karamollah Daneshfard, and Morteza Mousakhani. 2025. “Developing a Model for Monitoring the Effectiveness of Public Policies in the Banking System in the Digital Age.” New Approaches in Public Administration (1):92–116. doi:10.71815/2025/JNAPA.1204102.XML [In Persian].
Zhadan, D. O., Mordvyntsev, M., & Pashniev, D. V. (2024). Tracking illegal activities using video surveillance systems: A review of the current state of research. Law and Safety. https://api.semanticscholar.org/CorpusID:269181013
Kolodyazhny (Колодяжний), М. Г. (2020). Application of modern technologies in the field of crime prevention. Herald of the Association of Criminal Law of Ukraine. https://api.semanticscholar.org/CorpusID:230679192