Deep learning for phishing detection: Taxonomy, current challenges and future directions

NQ Do, A Selamat, O Krejcar, E Herrera-Viedma… - Ieee …, 2022 - ieeexplore.ieee.org
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …

Cyber-attack prediction based on network intrusion detection systems for alert correlation techniques: a survey

H Albasheer, M Md Siraj, A Mubarakali… - Sensors, 2022 - mdpi.com
Network Intrusion Detection Systems (NIDS) are designed to safeguard the security needs of
enterprise networks against cyber-attacks. However, NIDS networks suffer from several …

Machine learning and deep learning methods for intrusion detection systems in iomt: A survey

Y Rbah, M Mahfoudi, Y Balboul… - … Research in Applied …, 2022 - ieeexplore.ieee.org
The integration of healthcare-related sensors and devices into IoT has resulted in the
evolution of the IoMT (Internet of Medical Things). IoMT that can be viewed as an …

Intrusion detection in iot using deep learning

AM Banaamah, I Ahmad - Sensors, 2022 - mdpi.com
Cybersecurity has been widely used in various applications, such as intelligent industrial
systems, homes, personal devices, and cars, and has led to innovative developments that …

Voting classifier-based intrusion detection for iot networks

MA Khan, MA Khan Khattk, S Latif, AA Shah… - Advances on Smart and …, 2022 - Springer
Abstract Internet of Things (IoT) is transforming human lives by paving the way for the
management of physical devices on the edge. These interconnected IoT objects share data …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …

Towards an explainable universal feature set for IoT intrusion detection

MM Alani, A Miri - Sensors, 2022 - mdpi.com
As IoT devices' adoption grows rapidly, security plays an important role in our daily lives. As
part of the effort to counter these security threats in recent years, many IoT intrusion …

Network intrusion detection system: a survey on artificial intelligence‐based techniques

MS Habeeb, TR Babu - Expert Systems, 2022 - Wiley Online Library
High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …

A multifractal analysis and machine learning based intrusion detection system with an application in a UAS/RADAR system

R Zhang, JP Condomines, E Lochin - Drones, 2022 - mdpi.com
The rapid development of Internet of Things (IoT) technology, together with mobile network
technology, has created a never-before-seen world of interconnection, evoking research on …

Generating a benchmark cyber multi-step attacks dataset for intrusion detection

M Almseidin, J Al-Sawwa… - Journal of Intelligent & …, 2022 - content.iospress.com
Nowadays, with the rapid increase in the number of applications and networks, the number
of cyber multi-step attacks has been increasing exponentially. Thus, the need for a reliable …