Spamming ≈ Spamming
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Machine learning for email spam filtering: review, approaches and open research problems Open
The upsurge in the volume of unwanted emails called spam has created an intense need for the development of more dependable and robust antispam filters. Machine learning methods of recent are being used to successfully detect and filter sp…
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Survey of review spam detection using machine learning techniques Open
Online reviews are often the primary factor in a customer’s decision to purchase a product or service, and are a valuable source of information that can be used to determine public opinion on these products or services. Because of their im…
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Exploiting Burstiness in Reviews for Review Spammer Detection Open
Online product reviews have become an important source of user opinions. Due to profit or fame, imposters have been writing deceptive or fake reviews to promote and/or to demote some target products or services. Such imposters are called r…
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Detecting spammers on social networks Open
Social network has become a very popular way for internet users to communicate and interact online. Users spend plenty of time on famous social networks (e.g., Facebook, Twitter, Sina Weibo, etc.), reading news, discussing events and posti…
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A Comprehensive Survey for Intelligent Spam Email Detection Open
The tremendously growing problem of phishing e-mail, also known as spam including spear phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e-mail filters. This survey paper describes a focused literature…
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Robust Spammer Detection Using Collaborative Neural Network in Internet-of-Things Applications Open
Spamming is emerging as a key threat to the Internet of Things (IoT)-based social media applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial intelligence-based detection and identification tech…
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Detection of spam-posting accounts on Twitter Open
Online Social Media platforms, such as Facebook and Twitter, enable all users, independently of their characteristics, to freely generate and consume huge amounts of data. While this data is being exploited by individuals and organisations…
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Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection Open
The recent growth of social networking platforms also led to the emergence of social spammers, who overwhelm legitimate users with unwanted content. The existing social spammer detection methods can be characterized into two categories: fe…
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Statistical Features-Based Real-Time Detection of Drifted Twitter Spam Open
Twitter spam has become a critical problem nowadays. Recent works focus on applying machine learning techniques for Twitter spam detection, which make use of the statistical features of tweets. In our labeled tweets data set, however, we o…
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Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges Open
Nowaday, emails are used in almost every field, from business to education. Emails have two subcategories, i.e., ham and spam. Email spam, also called junk emails or unwanted emails, is a type of email that can be used to harm any user by …
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Bimodal Distribution and Co-Bursting in Review Spam Detection Open
Online reviews play a crucial role in helping consumers evaluate and compare products and services. This critical importance of reviews also incentivizes fraudsters (or spammers) to write fake or spam reviews to secretly promote or demote …
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SMS Spam Message Detection using Term Frequency-Inverse Document Frequency and Random Forest Algorithm Open
The daily traffic of Short Message Service (SMS) keeps increasing. As a result, it leads to dramatic increase in mobile attacks such as spammers who plague the service with spam messages sent to the groups of recipients. Mobile spams are a…
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A Multivocal Literature Review on Growing Social Engineering Based Cyber-Attacks/Threats During the COVID-19 Pandemic: Challenges and Prospective Solutions Open
The novel coronavirus (COVID-19) pandemic has caused a considerable and long-lasting social and economic impact on the world. Along with other potential challenges across different domains, it has brought numerous cybersecurity challenges …
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A Review on Mobile SMS Spam Filtering Techniques Open
One of the main objectives of any working professional, be it a manager or an employee, is to deliver high job performance and to encourage his fellow peers, teams, and co-workers to do the same. Hence, the concept of job performance is an…
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Spammer Detection and Fake User Identification on Social Networks Open
Social networking sites engage millions of users around the world. The users' interactions with these social sites, such as Twitter and Facebook have a tremendous impact and occasionally undesirable repercussions for daily life. The promin…
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A Spam Transformer Model for SMS Spam Detection Open
With the prosperity of the Short Message Service (SMS), the increasing number of spam messages has become a serious problem. The need to block spam messages requires us to develop new SMS spam detection technologies. The Transformer, an at…
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Spam Review Detection Techniques: A Systematic Literature Review Open
Online reviews about the purchase of products or services provided have become the main source of users’ opinions. In order to gain profit or fame, usually spam reviews are written to promote or demote a few target products or services. Th…
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Discovering Spammers in Social Networks Open
As the popularity of the social media increases, as evidenced in Twitter, Facebook and China's Renren, spamming activities also picked up in numbers and variety. On social network sites, spammers often disguise themselves by creating fake …
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Machine learning-based social media bot detection: a comprehensive literature review Open
In today’s digitalized era, Online Social Networking platforms are growing to be a vital aspect of each individual’s daily life. The availability of the vast amount of information and their open nature attracts the interest of cybercrimina…
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Spam Review Detection Using the Linguistic and Spammer Behavioral Methods Open
Online reviews regarding different products or services have become the main source to determine public opinions. Consequently, manufacturers and sellers are extremely concerned with customer reviews as these have a direct impact on their …
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A systematic literature review on spam content detection and classification Open
The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e ., Facebook, Twitter, YouTube, and E-mail…
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Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter Open
Social spam produces a great amount of noise on social media services such as Twitter, which reduces the signal-to-noise ratio that both end users and data mining applications observe. Existing techniques on social spam detection have focu…
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‘Stop spamming me!’: exploring information overload on Facebook Open
The problem of information overload on Facebook is exacerbating as users expand their networks. Growing quantity and increasingly poor quality of information on the Newsfeed may interfere with the hedonic experience of users resulting in f…
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Fake and Spam Messages: Detecting Misinformation During Natural Disasters on Social Media Open
During natural disasters or crises, users on social media tend to easily believe contents of postings related to the events, and retweet the postings, hoping that the postings will be reached by many other users. Unfortunately, there are m…
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N-Gram Assisted Youtube Spam Comment Detection Open
This paper proposes a novel methodology for the detection of intrusive comments or spam on the video-sharing website - Youtube. We describe spam comments as those which have a promotional intent or those who deem to be contextually irrelev…
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$FAKE: Evidence of Spam and Bot Activity in Stock Microblogs on Twitter Open
Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by bots a…
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Cybercrimes in Nigeria: Analysis, Detection and Prevention Open
Over the years, the alarming growth of the internet and its wide acceptance has led to increase in security threats. In Nigeria today, several internet assisted crimes known as cybercrimes are committed daily in various forms such as fraud…
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Learning to Detect Deceptive Opinion Spam: A Survey Open
With the development of e-commerce, more and more users begin to post reviews or comments about the quality of products on the internet. Meanwhile, people usually read previous reviews before purchasing online products. However, people are…
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Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play Open
The continuing expansion of mobile app ecosystems has attracted lots of efforts from the research community. However, although a large number of research studies have focused on analyzing the corpus of mobile apps and app markets, little i…
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An Approach for Detecting Spam in Arabic Opinion Reviews Open
For the rapidly increasing amount of information available on the Internet, little quality control exists, especially over the user-generated content. Manually scanning through large amounts of user-generated content is time-consuming and …