Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63713

BIG DATA FOR PREDICTIVE POLICING AND CRIME PREVENTION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63713

Volume:

10 |

5 |

May 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63713

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

VMB

Vinayak M Bhairakkanavar

MASTER OF COMPUTER APPLICATIONS

BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE

Download Author Certificate
RBN

RENUKA B N

MASTER OF COMPUTER APPLICATIONS

BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE

Download Co-Author Certificate

Mentors

RBN

RENUKA B N

MASTER OF COMPUTER APPLICATIONS

BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Crime prevention and control for society. Traditional policing. methods mainly focus on responding to crimes after they occur, which often results in delays. and limited effectiveness. With the rise of modern technology and the availability of data, it has become possible to predict and prevent crimes before they happen. This project, titled “Big Data for Predictive Policing and Crime Prevention,” aims to use big techniques to analyte crime patterns and predict potential. future crimes. By studying large volumes of data collected from police records, public databases, and social media, the system can identify crime-prone areas, high-risk time periods, and possible trends in criminal behaviour. Data gathering, data processing, data storage, predictive analysis, and visualization. are the main phases of the suggested system. While prediction models produce insights that can aid law enforcement in making better decisions, technologies are utilized. to manage big datasets effectively. The output is presented through an interactive dashboard that displays crime hotspots, charts, and reports, enabling police to take preventive measures. This project demonstrates technology with predictive analytics can transform traditional. policing into smart policing. By shifting from a reactive to law public safety, optimize resources, and reduce overall crime rates.

KEYWORDS

Big Data

Cite This Article

Vinayak M Bhairakkanavar, RENUKA B N, RENUKA B N, "BIG DATA FOR PREDICTIVE POLICING AND CRIME PREVENTION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-5, May 2026. https://doi.org/10.55041/IJSREM63713

Full Article/Conclusion

The Big Data for Predictive Policing and Crime Prevention system provides a modern, data-driven approach. to law enforcement by predicting and preventing crimes through the use of Big Data analytics and machine learning techniques. The system effectively analyzes large volumes of data from multiple sources such as police records, social media, and CCTV feeds to. identify patterns and forecast potential criminal activities.   This project successfully integrates modules for data preprocessing, predictive modeling, visualization, and alert notification, ensuring that the system operates efficiently and delivers accurate results. It assists police departments in decision-making, resource allocation, and timely preventive action based on reliable data insights. The results demonstrate that predictive analytics can significantly enhance policing by reducing manual work and enabling quicker, smarter responses. By converting raw data into meaningful insights and visual representations, the system helps law enforcement act proactively rather than reactively.   In conclusion, this project proves that Big Data-based predictive policing can greatly improve public safety and operational efficiency. It marks a step toward the future of smart policing, where technology and data work together to create safer and more secure communities.

References

1.Mohler, G. O., Short, M. B., Brantingham, P. J., Schoenberg, F. P., & Tita, G. E. (2015). Randomized controlled field trials of predictive policing. Journal of the American Statistical Association, 110(512), 1399–1411. 2.Perry, W. L., McInnis, B., Price, C. C., Smith, S. C., & Hollywood, J. S. (2013). Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations. RAND Corporation. 3.Chainey, S., & Ratcliffe, J. (2013). GIS and Crime Mapping. Wiley-Blackwell Publishing. 4.Singh, A., & Sharma, R. (2019). A Big Data Approach for Predictive Crime Analytics Using Machine Learning. International Journal of Computer Applications, 182(22), 10–15. 5.Ratcliffe, J. H. (2016). Intelligence-Led Policing. Routledge. 6.Chen, H., & Zeng, D. (2017). Big Data for Security and Crime Analysis. IEEE Intelligent Systems, 32(2), 50–59. 7.Bichler, G., & Malm, A. (2020). Disrupting Criminal Networks: Network Analysis in Crime Prevention. Lynne Rienner Publishers. 8.Kapoor, V., & Verma, S. (2021). Data Mining Techniques for Predictive Crime Analysis Using Big Data Tools. International Journal of Advanced Research in Computer Science, 12(4), 98–104.  

Editorial & Review Transparency

Publication Date

5/21/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

1

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...