Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security

E Hashmi, MM Yamin, SY Yayilgan - AI and Ethics, 2024 - Springer
This survey paper explores the transformative role of Artificial Intelligence (AI) in information
security. Traditional methods, especially rule-based approaches, faced significant …

CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment

ECP Neto, S Dadkhah, R Ferreira, A Zohourian, R Lu… - Sensors, 2023 - mdpi.com
Nowadays, the Internet of Things (IoT) concept plays a pivotal role in society and brings new
capabilities to different industries. The number of IoT solutions in areas such as …

AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges

B Bala, S Behal - Computer science review, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …

[HTML][HTML] IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks

A Zohourian, S Dadkhah, H Molyneaux, ECP Neto… - Computers & …, 2024 - Elsevier
Abstract The Internet of Things (IoT) devices have been integrated into almost all everyday
applications of human life such as healthcare, transportation and agriculture. This …

An intelligent DDoS attack detection tree-based model using Gini index feature selection method

MA Bouke, A Abdullah, SH ALshatebi… - Microprocessors and …, 2023 - Elsevier
Cyber security has recently garnered enormous attention due to the popularity of the Internet
of Things (IoT), intelligent devices' rapid growth, and a vast number of real-life applications …

[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks

A Arshad, M Jabeen, S Ubaid, A Raza… - Decision Analytics …, 2023 - Elsevier
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …

MalBoT-DRL: Malware botnet detection using deep reinforcement learning in IoT networks

M Al-Fawa'reh, J Abu-Khalaf… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the dynamic landscape of cyber threats, multistage malware botnets have surfaced as
significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) …

Enhancing intrusion detection in iot communications through ml model generalization with a new dataset (idsai)

GP Fernando, AAH Brayan, AM Florina… - IEEE …, 2023 - ieeexplore.ieee.org
One of the fields where Artificial Intelligence (AI) must continue to innovate is computer
security. The integration of Wireless Sensor Networks (WSN) with the Internet of Things (IoT) …

Security in Cloud-Native Services: A Survey

T Theodoropoulos, L Rosa, C Benzaid, P Gray… - … of Cybersecurity and …, 2023 - mdpi.com
Cloud-native services face unique cybersecurity challenges due to their distributed
infrastructure. They are susceptible to various threats like malware, DDoS attacks, and Man …

An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with …

MA Setitra, M Fan… - Transactions on Emerging …, 2023 - Wiley Online Library
The growing popularity of Software Defined Networks (SDN) and the Internet of Things (IoT)
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …