Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS
PaperId: :  1890
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 2 2016
DUI:    16.0415/IJARIIE-1890
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shubham D. ShelakeSGOICOE, belhe.
Anuja B. PokharkarSGOICOE, belhe.
Nalini D. KateSGOICOE, belhe.
Arun C. MurbadeSGOICOE, belhe.

Abstract

Computer Engineering
Online Grooming attack, Cyberbullying attack, Abusive Text detection, Abusive Image Detection
As per the technology is developed the use of internet increases due to the necessity of world. The common growth of the social networking sites is done belongs to the communication world. With the help of these social Networking sites peoples are indirectly connected to each other in the world in minimal time spam, usually they express their point of view about some things, their feelings, emotions and opinions which may include public or private talks. Popularity of the social sites cause most important rise in aggressive behavior, giving birth to one of the most serious problem called online Grooming and cyber-bullying. There are number of the social networking users would have come through a worst e-day understanding .The victims of cyber-bullying, mostly being the youngsters, go through deep scars which has led to miserable attempts in many cases. Agenda for this Watchdog application chasing the aim to discover and classify the above-mentioned threats to develop the situation. Threat signs are recognized by social media analysis, text mining and image analysis techniques permitted to raise awareness about continuing attacks and to grant assistance for further actions.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade. "DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 2 2016 Page 966-970
MLA Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade. "DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS." International Journal Of Advance Research And Innovative Ideas In Education 2.2(2016) : 966-970.
APA Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, & Arun C. Murbade. (2016). DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS. International Journal Of Advance Research And Innovative Ideas In Education, 2(2), 966-970.
Chicago Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade. "DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 2 (2016) : 966-970.
Oxford Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade. 'DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, 2016, p. 966-970. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DEFENDING_MECHANISM_FOR_SOCIAL_NETWORKS_FROM_CYBERBULLYING_AND_ONLINE_GROOMING_ATTACKS_ijariie1890.pdf (Accessed : ).
Harvard Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade. (2016) 'DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS', International Journal Of Advance Research And Innovative Ideas In Education, 2(2), pp. 966-970IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DEFENDING_MECHANISM_FOR_SOCIAL_NETWORKS_FROM_CYBERBULLYING_AND_ONLINE_GROOMING_ATTACKS_ijariie1890.pdf (Accessed : )
IEEE Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade, "DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, pp. 966-970, Mar-App 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/DEFENDING_MECHANISM_FOR_SOCIAL_NETWORKS_FROM_CYBERBULLYING_AND_ONLINE_GROOMING_ATTACKS_ijariie1890.pdf [Accessed : ].
Turabian Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade. "DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 2 ().
Vancouver Shubham D. Shelake, Anuja B. Pokharkar, Nalini D. Kate, and Arun C. Murbade. DEFENDING MECHANISM FOR SOCIAL NETWORKS FROM CYBERBULLYING AND ONLINE GROOMING ATTACKS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(2) : 966-970. Available from: https://ijariie.com/AdminUploadPdf/DEFENDING_MECHANISM_FOR_SOCIAL_NETWORKS_FROM_CYBERBULLYING_AND_ONLINE_GROOMING_ATTACKS_ijariie1890.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12