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Netspam: An Efficient Approach to Prevent Spam Messages using Support Vector Machine

P. Sai Kiran, K. Prudhvi Chowdary, T. T. Venkata Rayudu | K. Vinay Kumar
2018 International Journal of Trend in Scientific Research and Development  
In this study, we aim at classifying reviews as positive, negative and spam reviews by creating a social network similar platform and providing communication between users in it.  ...  Network analysis has recently gained a lot of attention because of the arrival and increasing attractiveness of social sites, such as blogs, social networks, micro blogging, or customer review sites.  ...  Addressing the problem of spam detection in such networks can be considered as a new research line in this field.  ... 
doi:10.31142/ijtsrd11419 fatcat:xmrg6fbwsnh53mndbmujk54lgq

Survey on Spam Reviews and Spammer Community Detection Technique

Kajal Sonawane
2019 International Journal for Research in Applied Science and Engineering Technology  
The proposed work generates a heterogeneous network having users and reviews are the node type and the spam detection technique is mapped to the heterogeneous network problem.  ...  Online reviews and feedback of a product plays a vital role in human tendency to purchase those products. To affect the product sale spammer generates fake reviews on online social media platform.  ...  Example of Network Schema generated based on a given spam features list Table 1 : 1 Metapaths used in the proposed framework  ... 
doi:10.22214/ijraset.2019.7152 fatcat:uf44tsarqjgurguizsuyqz24qa

Spammer Community Used for Spam Detection in Online Social Media Reviews

Arun. K
2018 International Journal for Research in Applied Science and Engineering Technology  
The spammer community frameworks use the importance of spam features for review datasets as heterogeneous information networks to detect the spam in social media and E-commerce.  ...  Nowadays, Social media and internet usage increases in day by day. All the facilities are available in a just a click on the internet.  ...  ACKNOWLEDGMENT This work has begun as a part of Master's Degree project. In this respect, the authors would like to thank the staffs of the college.  ... 
doi:10.22214/ijraset.2018.4313 fatcat:zr7cr2aowbdojoa737dkbtc4su

A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS

Saini Jacob Soman, S. Murugappan
2014 Journal of Computer Science  
The growing popularity of social networking sites has made them prime targets for spammers.  ...  Therefore, this study attempts to review various spam detection frameworks which deals about the detection and elimination of spams in various sources.  ...  But still this area remains in its infant stage and more number of spam detection algorithms need to be devised for social media networks.  ... 
doi:10.3844/jcssp.2014.2135.2140 fatcat:56u4f2hs75gdbl2w5yjyoagfym

A Study of Spam Detection Algorithm on Social Media Networks [chapter]

Jacob Soman Saini
2013 Advances in Intelligent Systems and Computing  
The growing popularity of social networking sites has made them prime targets for spammers.  ...  Therefore, this study attempts to review various spam detection frameworks which deals about the detection and elimination of spams in various sources.  ...  But still this area remains in its infant stage and more number of spam detection algorithms need to be devised for social media networks.  ... 
doi:10.1007/978-81-322-1680-3_22 fatcat:zbmffnwkufabrp3d6a5dd444ei

DISCERNING SPAM IN SOCIAL NETWORKING SITES

Sarita Yadav, Aakanksha Saini, Akanksha Dhamija, Yoganta Narnauli
2016 Zenodo  
In this paper, we propose a framework for spam detection in the two largest social networking sites namely, Twitter and Facebook.  ...  Social Networking Sites, in the present scenario, are an amalgam of knowledge and spam.  ...  Vanita Jain, Head of Department, Bharati Vidyapeeth College of Engineering and our mentor, Mrs Sarita Yadav for the for helpful guidance.  ... 
doi:10.5281/zenodo.3663299 fatcat:m3xulnvk6rdphofywa4lf55iny

Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges

Naeem Ahmed, Rashid Amin, Hamza Aldabbas, Deepika Koundal, Bader Alouffi, Tariq Shah
2022 Security and Communication Networks  
The ratio of spam emails is increasing rapidly day by day. Spam detection and filtration are significant and enormous problems for email and IoT service providers nowadays.  ...  Among all the techniques developed for detecting and preventing spam, filtering email is one of the most essential and prominent approaches.  ...  [12, 58] present a procedure for detecting spammers and spam messages in any social network.  ... 
doi:10.1155/2022/1862888 doaj:27c7fab9297747cba125d6dff8deb631 fatcat:fsasq7gapbhd7lv66wwgxveyyq

NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media

Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh, Noel Crespi
2017 IEEE Transactions on Information Forensics and Security  
In this study, we propose a novel framework, named NetSpam, which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification  ...  Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product).  ...  NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media Saeedreza Shehnepoor, Mostafa Salehi*, Reza Farahbakhsh, Noel Crespi Abstract-Nowadays, a big part of people rely on  ... 
doi:10.1109/tifs.2017.2675361 fatcat:jxzetjvohffhlej4vwp7cud5oq

Spam Detection using Sentiment Analysis of Text

Vignesh N
2019 International Journal for Research in Applied Science and Engineering Technology  
In this study, we propose a novel framework, named NetSpam, which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification  ...  Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product).  ...  Addressing the problem of spam detection in such networks can be considered as a new research line in this field.  ... 
doi:10.22214/ijraset.2019.3413 fatcat:fpu7clgop5b7nmqt6pcaf4y5gi

Spam, a Digital Pollution and Ways to Eradicate It

2019 International Journal of Engineering and Advanced Technology  
This survey is thus mainly used to discuss and analyze the recent research that had been put forth regarding the spam detection in social media sites such as Twitter.  ...  We then compared all the methods present in the papers to see which method or combination of methods could give the best result in detecting spam.  ...  The data extracted from social media sites is widely used in numerous researches, but this rapid increase in spam content is making the data biased which raises a suspicion for researchers whether they  ... 
doi:10.35940/ijeat.b4107.129219 fatcat:uze7gfg3wrgjdmetvpuhzhl7p4

Review on Various Fake Review Detection Techniques on E-Commerce Website

Mahendra Nath Dwivedi
2018 International Journal for Research in Applied Science and Engineering Technology  
In this paper a point by point overview is finished utilizing different machine learning strategies for identifying spam and veritable reviews.  ...  This kind of exercises is frequently alluded as Review spam.  ...  Social Networking Spam Social Networking spam is focused for the standard clients of the social networking sites, for example, LinkedIn, Facebook, Google+ or MySpace.  ... 
doi:10.22214/ijraset.2018.6006 fatcat:b3gfrgib4ng4vi5chqy75fodem

Detecting Spam Messages in Twitter Data by Machine learning Algorithms using Cross Validation

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
To maintain in association, sharing ideas, exchange knowledge between we use social media networking sites.  ...  Social media networking sites like Twitter, Facebook, LinkedIn etc are available in the communication environment.  ...  [3] proposed an unsupervised social network spam detection methodology to detect spammers.  ... 
doi:10.35940/ijitee.k1913.1081219 fatcat:3rogvu5fafcmndlxrntnynu4ce

A Machine Learning Method for Spam Detection in Twitter using Naive Bayes and ERF Algorithms

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
To combat with the issue of spams, there has been a lot of methods available, Yet, there is not a perfect effective solution for detect the Twitter spams with the exactness.  ...  This became the major issues in the safety consideration of online social network and this makes the user experience as a damaged one.  ...  social networks by proposed a scalable spam detection system termed as an Oases.  ... 
doi:10.35940/ijitee.f4729.049620 fatcat:eghpqql7mzbqxmtym5yqeivjie

Integrated approach to detect spam in social media networks using hybrid features

Kurapati Subba Reddy, E. Srinivasa Reddy
2019 International Journal of Electrical and Computer Engineering (IJECE)  
In this paper we proposed a hybrid approach which uses content based and user based features for identification of spam on Twitter network.  ...  This information may be advertising some product, send some malicious links etc to disturb the natural users on social sites. Spammer detection is a major problem now days in social networking sites.  ...  Bhagyasri Toke et. al [24] analyse the integrated approach to detect spam in social network sites. Ala M et. al [25] describes a spam detection approach to detect spam in social networks.  ... 
doi:10.11591/ijece.v9i1.pp562-569 fatcat:zs6luhflcraybhy6vc4zm2yf2a

A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter

Atheer S. Alhassun, Murad A. Rassam
2022 Processes  
This paper addressed the issue of detecting spam accounts in Arabic on Twitter by collecting an Arabic dataset that would be suitable for spam detection.  ...  Twitter is one of the most popular networks in the Middle East. Similar to other social media platforms, Twitter is vulnerable to spam accounts spreading malicious content.  ...  Acknowledgments: The researchers would like to thank the Deanship of Scientific Research, Qassim University, for funding the publication of this project.  ... 
doi:10.3390/pr10030439 fatcat:vkb53jla5bfsro2cuhse62amwi
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