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Title: :  Deep learning based content moderation system to stop cybercrime caused by social media
PaperId: :  24050
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24050
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sachin BhosalePravara Rural Engineering College, Loni.
Neha ShindePravara Rural Engineering College, Loni.
Shreya LawarePravara Rural Engineering College, Loni
Satyam WablePravara Rural Engineering College, Loni.

Abstract

Information Technology
Cybercrimes, Social media platforms, Content discovery system, Image auditing, Text extraction, Video auditing,Convolutional,neural network (CNN),Machine learning, Deep learning,Vicious content detection, Pornography,Terrorism, Cyber-bullying, Sexual harassment, Fraud detection
Crime rates in moment’s world have increased due to content posted on colorful social media platforms leading to cybercrimes. The proportion of crimes in this order increased from3.7 in 2020 to3.9 in 2021. During 2021,60.8 of cybercrimes reported were for fraud( 32,230 cases out of 52,974 cases) followed by sexual exploitation, with8.6( 4,555 cases) and highway robbery with5.4( 2,883 cases). In this paper we present a largely effective content discovery system, design for processing content uploaded daily to colorful social media platforms. This paper isn't only limited to image auditing but also composition and videotape auditing. The main ideal behind this idea is to check the vicious content set up on social media and thereby reduce the crime rate. This system uses a convolutional neural network( CNN) to prize textbook from images as well as descry and classify all videotape frames. It's a combination of CNN and other machine literacy and deep literacy ways. The proposed system includes transferring instant cautions to the Cyber Crime Cell if any vicious content like pornography, terrorism, cyber-bullying, etc. is detected. therefore, this system detects vicious exertion and will help terrorism, vilification and sexual importunity in future.

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IJARIIE Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable. "Deep learning based content moderation system to stop cybercrime caused by social media" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 2877-2881
MLA Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable. "Deep learning based content moderation system to stop cybercrime caused by social media." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 2877-2881.
APA Sachin Bhosale, Neha Shinde, Shreya Laware, & Satyam Wable. (2024). Deep learning based content moderation system to stop cybercrime caused by social media. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 2877-2881.
Chicago Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable. "Deep learning based content moderation system to stop cybercrime caused by social media." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 2877-2881.
Oxford Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable. 'Deep learning based content moderation system to stop cybercrime caused by social media', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 2877-2881. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_learning_based_content_moderation_system_to_stop_cybercrime_caused_by_social_media_ijariie24050.pdf (Accessed : ).
Harvard Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable. (2024) 'Deep learning based content moderation system to stop cybercrime caused by social media', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 2877-2881IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_learning_based_content_moderation_system_to_stop_cybercrime_caused_by_social_media_ijariie24050.pdf (Accessed : )
IEEE Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable, "Deep learning based content moderation system to stop cybercrime caused by social media," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 2877-2881, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_learning_based_content_moderation_system_to_stop_cybercrime_caused_by_social_media_ijariie24050.pdf [Accessed : ].
Turabian Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable. "Deep learning based content moderation system to stop cybercrime caused by social media." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Sachin Bhosale, Neha Shinde, Shreya Laware, and Satyam Wable. Deep learning based content moderation system to stop cybercrime caused by social media. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 2877-2881. Available from: https://ijariie.com/AdminUploadPdf/Deep_learning_based_content_moderation_system_to_stop_cybercrime_caused_by_social_media_ijariie24050.pdf
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