A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions

A Thakkar, R Lohiya - Artificial Intelligence Review, 2022 - Springer
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …

Machine learning techniques applied to cybersecurity

J Martínez Torres, C Iglesias Comesaña… - International Journal of …, 2019 - Springer
Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …

A survey on machine learning techniques for cyber security in the last decade

K Shaukat, S Luo, V Varadharajan, IA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

What yelp fake review filter might be doing?

A Mukherjee, V Venkataraman, B Liu… - Proceedings of the …, 2013 - ojs.aaai.org
Online reviews have become a valuable resource for decision making. However, its
usefulness brings forth a curse‒deceptive opinion spam. In recent years, fake review …

[图书][B] Analytic activism: Digital listening and the new political strategy

D Karpf - 2016 - books.google.com
Among the ways that digital media has transformed political activism, the most remarkable is
not that new media allows disorganized masses to speak, but that it enables organized …

Spotting fake reviewer groups in consumer reviews

A Mukherjee, B Liu, N Glance - … of the 21st international conference on …, 2012 - dl.acm.org
Opinionated social media such as product reviews are now widely used by individuals and
organizations for their decision making. However, due to the reason of profit or fame, people …

Spotting opinion spammers using behavioral footprints

A Mukherjee, A Kumar, B Liu, J Wang, M Hsu… - Proceedings of the 19th …, 2013 - dl.acm.org
Opinionated social media such as product reviews are now widely used by individuals and
organizations for their decision making. However, due to the reason of profit or fame, people …

Exploiting burstiness in reviews for review spammer detection

G Fei, A Mukherjee, B Liu, M Hsu… - Proceedings of the …, 2013 - ojs.aaai.org
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 …

" 8 amazing secrets for getting more clicks": detecting clickbaits in news streams using article informality

P Biyani, K Tsioutsiouliklis, J Blackmer - Proceedings of the AAAI …, 2016 - ojs.aaai.org
Clickbaits are articles with misleading titles, exaggerating the content on the landing page.
Their goal is to entice users to click on the title in order to monetize the landing page. The …

A review of machine learning approaches to spam filtering

TS Guzella, WM Caminhas - Expert Systems with Applications, 2009 - Elsevier
In this paper, we present a comprehensive review of recent developments in the application
of machine learning algorithms to Spam filtering, focusing on both textual-and image-based …