A comprehensive study of DDoS attacks over IoT network and their countermeasures

P Kumari, AK Jain - Computers & Security, 2023 - Elsevier
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …

Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review

N Mishra, S Pandya - IEEE Access, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …

Distributed denial of service attack prediction: Challenges, open issues and opportunities

AB de Neira, B Kantarci, M Nogueira - Computer Networks, 2023 - Elsevier
Abstract Distributed Denial of Service (DDoS) attack is one of the biggest cyber threats.
DDoS attacks have evolved in quantity and volume to evade detection and increase …

Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades

S Condran, M Bewong, MZ Islam, L Maphosa… - IEEE …, 2022 - ieeexplore.ieee.org
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems

M Shahin, M Maghanaki, A Hosseinzadeh… - Advanced Engineering …, 2024 - Elsevier
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …

BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning

OD Okey, SS Maidin, P Adasme, R Lopes Rosa… - Sensors, 2022 - mdpi.com
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …

[PDF][PDF] Two-stage hybrid malware detection using deep learning

S Baek, J Jeon, B Jeong, YS Jeong - Human-centric Computing and …, 2021 - hcisj.com
With the increasing number and variety of Internet of Things (IoT) devices supporting a wide
range of services such as smart homes, smart transportation, and smart factories in smart …

An intelligent blockchain-based secure link failure recovery framework for software-defined internet-of-things

J Ali, G Shan, N Gul, B Roh - Journal of Grid Computing, 2023 - Springer
The frequency of link failures in Internet-of-Things (IoT) network are more than the node
failures. Hence, effective link recovery schemes are required for a seamless communication …

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) …

[HTML][HTML] Threat modeling in smart firefighting systems: Aligning MITRE ATT&CK matrix and NIST security controls

S Zahid, MS Mazhar, SG Abbas, Z Hanif, S Hina… - Internet of Things, 2023 - Elsevier
Industrial automation technologies are envisioned as multi-device systems that are
constantly interacting with one another and with enterprise systems. In these industrial …