Published January 30, 2022 | Version CC BY-NC-ND 4.0
Journal article Open

Protecting Against Malicious Code Injection in Reviews on Web Applications

Creators

  • 1. P.G Graduate, Department of Computer Science Engineering, Prince Dr. K. .Vasudevan College of Engineering and Technology, Ponmar, Chennai, India,
  • 2. Assistant Professor, Department of Computer Science Engineering, Prince Dr. K.. Vasudevan College of Engineering and Technology, Ponmar, Chennai, India,
  • 3. M.E, Head of Department of Computer Science Engineering, Prince Dr. K.. Vasudevan College of Engineering and Technology, Ponmar, Chennai, India,

Contributors

Contact person:

  • 1. P.G Graduate, Department of Computer Science Engineering, Prince Dr. K. .Vasudevan College of Engineering and Technology, Ponmar, Chennai, India

Description

Abstract: Malicious code injection is done by the attackers or hackers mainly in reviews, these are the fake user identities that are created by the attackers, through sending continuous links to some user till the user clicks on that link. When user clicks the link, that particular users identity will be stolen by the attackers which is done like the phishing, generally these reviews which are maliciously injected are mixed with the original users review of the product in a website. To identify these malicious injection attacked reviews, in this paper the Naive Bayes Classifier (NBC) algorithm is used. Then to eliminate the unwanted disturbed data in the website the Natural Language Processing technique is used. The Natural Language Processing (NLP) technique, which removes unwanted data by understanding the text or words in review. Then the length of the reviews in the given sample dataset is reduced for easy understanding by using the Principal Component Analysis (PCA) algorithm which reduces the dimensionality of the reviews. Then user input review is compared with the sample dataset and classified as good review and bad review and also detected as malicious or not by using the Naïve Bayes Classifier algorithm which is used for the classification of the objects

Notes

Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

Files

C97200111322.pdf

Files (458.0 kB)

Name Size Download all
md5:956fa9b9aad28849de047fde9a8c3a70
458.0 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2278-3075 (ISSN)

References

  • Naufal Riza Fatahillah, Pulut Suryati, Cosmas Haryaan,"Implementation Of Naive Bayes Classifier Algorithm On Social Media (Twitter) To The Teaching Of Indonesian Hate Speech", 2017
  • Revathy M, Minu Lalitha Madhavu, "Efficient Author Community Generation On Nlp Based Relevance Feature Detection", 2017
  • Yunjing An, Shutao Sun, Shujuan Wang, "Naive Bayes Classifiers for Music Emotion Classification Based on Lyrics", 2017
  • Ershad Sharifahmadian, Alireza Ahmadian, "Adaptive Signal Processing Algorithm for Remote Detection of Heart Rate (HR) Using Ultra-Wideband Waveforms based on Principal Component Analysis", 2009
  • Moch. Fadli Shadiqin Thirafi, Faisal Rahutomo, "Implementation of Naïve Bayes Classifier Algorithm to Categorize Indonesian Song Lyrics Based on Age", 2018
  • Rushrukh Rayan, Md. Sabir Hossain, and Asaduzzaman, "Compression of Large-Scale Image Dataset using Principal Component Analysis and K-means Clustering", 2019
  • Uma M, Sneha V, Sneha G, Bhuvana J, Bharathi B, "Formation of SQL from Natural Language Query using NLP", 2019
  • Sidharth Prasad Mishra, Uttam Sarkar, Subhash Taraphder, Sanjay Datta, Devi Prasanna Swain, Reshma Saikhom, Sasmita Panda and Menalsh Laishram, "Multivariate Statistical Data Analysis- Principal Component Analysis (PCA)", 2018
  • Dr. N. Srinivasan, Anandaraj Selvaraj, "Mobile Based Data Retrieval using RDF and NLP in an Efficient Approach", 2017
  • Anggit Dwi Hartanto, Ema Utami, Sumarni Adi, Harish Setyo Hudnanto, "Job Seeker Profile Classification of Twitter Data Using the Naïve Bayes Classifier Algorithm Based on the DISC Method", 2019

Subjects

ISSN: 2278-3075 (Online)
https://portal.issn.org/resource/ISSN/2278-3075#
Retrieval Number: 100.1/ijitee.C97200111322
https://www.ijitee.org/portfolio-item/C97200111322/
Journal Website: www.ijitee.org
https://www.ijitee.org/
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org/