A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Towards automatic filtering of fake reviews
EF Cardoso, RM Silva, TA Almeida - Neurocomputing, 2018 - Elsevier
Online opinions significantly influence consumer purchase decisions. Unfortunately, this has
led to a dramatic increase of fake (or spam) reviews that can damage the reputation of …
led to a dramatic increase of fake (or spam) reviews that can damage the reputation of …
Comprehensive literature review on machine learning structures for web spam classification
Various Web spam features and machine learning structures were constantly proposed to
classify Web spam in recent years. The aim of this paper was to provide a comprehensive …
classify Web spam in recent years. The aim of this paper was to provide a comprehensive …
Ham and spam e-mails classification using machine learning techniques
Spam e-mail has become a very serious problem. Sending inappropriate messages to a
large number of recipients indiscriminately has resulted in anger by users but large profits …
large number of recipients indiscriminately has resulted in anger by users but large profits …
GT2FS-SMOTE: An intelligent oversampling approach based upon general type-2 fuzzy sets to detect web spam
With the growing internet, web spam is also increasing, which majorly affect the user
experiences with search engines. Web spam methods target the search engine's internal …
experiences with search engines. Web spam methods target the search engine's internal …
Spam detection for social media networks using machine learning
V Niranjani, Y Agalya, K Charunandhini… - 2022 8TH …, 2022 - ieeexplore.ieee.org
People frequently examine internet product reviews before purchasing a product. More
merchants aim to deceive users in order to earn a profit. Because customers are misled in …
merchants aim to deceive users in order to earn a profit. Because customers are misled in …
A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection
The massive increase of spam is posing a very serious threat to email and SMS, which have
become an important means of communication. Not only do spams annoy users, but they …
become an important means of communication. Not only do spams annoy users, but they …
[PDF][PDF] A survey of web spam detection techniques
MD Oskuie, SN Razavi - International Journal of Computer Applications …, 2014 - Citeseer
Internet is a global information system. Most of the users use search engines due to high
volume of information in virtual world in order to access to required information. They often …
volume of information in virtual world in order to access to required information. They often …
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection
The massive increase of spam is posing a very serious threat to email and SMS, which have
become an important means of communication. Not only do spams annoy users, but they …
become an important means of communication. Not only do spams annoy users, but they …
[PDF][PDF] An ensemble feature selection method to detect web spam
MD Oskouei, SN Razavi - Asia-Pacific Journal of Information …, 2018 - journalarticle.ukm.my
Feature selection is an important issue in data mining, and it is used to reduce dimensions of
features set. Web spam detection is one of research fields of data mining. With regard to …
features set. Web spam detection is one of research fields of data mining. With regard to …