A systematic literature review on phishing email detection using natural language processing techniques

S Salloum, T Gaber, S Vadera, K Shaalan - IEEE Access, 2022 - ieeexplore.ieee.org
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …

Smart home security: challenges, issues and solutions at different IoT layers

H Touqeer, S Zaman, R Amin, M Hussain… - The Journal of …, 2021 - Springer
Abstract The Internet of Things is a rapidly evolving technology in which interconnected
computing devices and sensors share data over the network to decipher different problems …

[HTML][HTML] Phishing website detection with semantic features based on machine learning classifiers: a comparative study

A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

BB Gupta, K Yadav, I Razzak, K Psannis… - Computer …, 2021 - Elsevier
In recent times, we can see a massive increase in the number of devices that are being
connected to the internet. These devices include but are not limited to smartphones, IoT, and …

Machine learning based phishing detection from URLs

OK Sahingoz, E Buber, O Demir, B Diri - Expert Systems with Applications, 2019 - Elsevier
Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

Detecting Internet of Things attacks using distributed deep learning

GDLT Parra, P Rad, KKR Choo, N Beebe - Journal of Network and …, 2020 - Elsevier
The reliability of Internet of Things (IoT) connected devices is heavily dependent on the
security model employed to protect user data and prevent devices from engaging in …

[HTML][HTML] An effective detection approach for phishing websites using URL and HTML features

A Aljofey, Q Jiang, A Rasool, H Chen, W Liu, Q Qu… - Scientific Reports, 2022 - nature.com
Today's growing phishing websites pose significant threats due to their extremely
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …

A new hybrid ensemble feature selection framework for machine learning-based phishing detection system

KL Chiew, CL Tan, KS Wong, KSC Yong, WK Tiong - Information Sciences, 2019 - Elsevier
This paper proposes a new feature selection framework for machine learning-based
phishing detection system, called the Hybrid Ensemble Feature Selection (HEFS). In the first …

A survey of phishing attack techniques, defence mechanisms and open research challenges

AK Jain, BB Gupta - Enterprise Information Systems, 2022 - Taylor & Francis
Phishing is an identity theft, which deceives Internet users into revealing their sensitive data,
eg, login information, credit/debit card details, and so on. Researchers have developed …

On the effectiveness of machine and deep learning for cyber security

G Apruzzese, M Colajanni, L Ferretti… - … conference on cyber …, 2018 - ieeexplore.ieee.org
Machine learning is adopted in a wide range of domains where it shows its superiority over
traditional rule-based algorithms. These methods are being integrated in cyber detection …