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world-net based criminal networks mining for cyber crime investigation

Kalaivani S,Prabavathi A,Reshma V,Saradha K

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:6         Issue:3         Year: 22 April,2024         Pages:1873-1878

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

Nowadays crime rate is frequently increasing day by day in our society. Crime is part of human activities and needs to be managed. No human society has ever been totally free of deviants and it is unlikely that society will ever be. The project is aimed to develop a web based application in which a common user can report online crimes, complaints, missing persons, show most wanted person details, show snatchers, show unidentified dead bodies, stolen vehicles. Any number of clients can connect to the server. Problem was that people got tired by going here and there for getting justice. So our application is capable of registering online, shows investigation update, deliver news about crime etc. So it is an application which provides solution to the problem faced during taking actions against crime.

Kewords

Data mining , Crime Details, Cyber Crime Investigation , Fingerprint.

Reference

NowshinTasnim, IftekherToufique Imam, And M. M. A. Hashem, “A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model,” VOLUME 10 , May 9 2022. [2] Binbin Zhou, Longbiao Chen , Sha Zhao, Shijian Li, ZengweiZheng , and Gang Pan, “Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities,” VOLUME 10, DECEMBER 2023. [3] Sakirin Tam 1 And ÖmerÖzgürTanriöver -“Multimodal Deep Learning Crime Prediction Using Tweets” VOLUME 11, September 2023. [4] “ UmairMuneerButt, Sukumar Letchmunan,FadratulHafinazHassan, MubashirAli, AneesBaqir, Tieng Wei Koh, and Hafiz Husnain RazaSherazi.” Spatio - Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities. VOLUME 9, March 23 2021. [5] Wajiha Safat, Sohail Asghar, Saira and Leeb Gillani.. “Empirical analysis for crime prediction and forecasting using Machine Learning and Deep Learning Techniques,” VOLUME 9, May 2021. [6] W. Safat, S. Asghar, and S. A. Gillani, “Empirical analysis for crime prediction and forecasting using machine learning and deep learning techniques,” IEEE Access, vol.9, pp.70080-70094, 2021. [7] N. Jin, Y. Zeng, K. Yan and Z. Ji, “Multivariate air quality forecasting with nested long short term memory neural network.” IEEE Trans. Ind. Informat., vol.17, no. 12, pp. 8514-8522, Dec.2021. [8] H . Abbasimehr and R. Paki, ‘‘Improving time series forecasting using LSTM and attention models,’’ J. Ambient Intell. Hum. Comput., vol. 13,pp. 1–19, Jan. 2021. [9] M. Fang, L. Tang, X. Yang, Y. Chen, C. Li, and Q. Li, “FTPG: A fine-grained traffic prediction method with graph attention network using big trace data,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 6, pp. 5163–5175, Jun. 2021. [10] B. Liu, S. Yan, J. Li, Y. Li, J. Lang, and G. Qu, “A spatiotemporal recurrent neural network for prediction of atmospheric PM2.5: A case study of Beijing,” IEEE Trans. Computat. Social Syst., vol. 8, no. 3, pp. 578–588, Jun. 2021. [11] M . Feng, J . Zheng, J. Ren, A. Hussain , X. Li, Y. Xi, and Q. Liu, ‘‘Big data analytics and mining for effective visualization and trends forecasting of crime data,’’ IEEE Access, vol. 7, pp. 106111–106123, 2019. . [12] M. Feng, J. Zheng, Y. Han, J. Ren, and Q. Liu, ‘‘Big data analytics and mining for crime data analysis, visualization and prediction,’’ in Proc. Int. Conf. Brain Inspired Cognit. Syst. Cham, Switzerland: Springer, 2018,pp. 605–614. [13] S. Sathyadevan, M. S. Devan, and S. S. Gangadharan, ‘‘Crime analysis and prediction using data mining,’’ in Proc. 1st Int. Conf. Netw. Soft Comput. (ICNSC), pp. 406–412, Aug 2014. [14] B.Liu, Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge, U.K.: Cambridge Univ. Press, 2015. [15] N. Spencer and D. Butler, ‘‘Cities: The century of the city,’’ Nature, vol. 467, no. 7318, pp. 900–901, 2010.