Anomaly detection IDS for detecting DoS attacks in IoT networks based on machine learning algorithms

E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …

Application of artificial intelligence to network forensics: Survey, challenges and future directions

S Rizvi, M Scanlon, J Mcgibney, J Sheppard - Ieee Access, 2022 - ieeexplore.ieee.org
Network forensics focuses on the identification and investigation of internal and external
network attacks, the reverse engineering of network protocols, and the uninstrumented …

Knowledge-based anomaly detection: Survey, challenges, and future directions

AQ Khan, S El Jaouhari, N Tamani, L Mroueh - Engineering Applications of …, 2024 - Elsevier
Due to the rapidly increasing number of Internet-connected objects, a huge amount of data
is created, stored, and shared. Depending on the use case, this data is visualized, cleaned …

Detection and classification of novel attacks and anomaly in IoT network using rule based deep learning model

S Chakraborty, SK Pandey, S Maity, L Dey - SN Computer Science, 2024 - Springer
Attackers are now using sophisticated techniques, like polymorphism, to change the attack
pattern for each new attack. Thus, the detection of novel attacks has become the biggest …

Securing the Internet of Things in Logistics: Challenges, Solutions, and the Role of Machine Learning in Anomaly Detection

SNU Din, SM Muzammal, R Bibi, M Tayyab… - … for improved industry …, 2024 - igi-global.com
Internet of things (IoT), a network of interconnected devices capable of collecting, storing,
analyzing, and transmitting data, has garnered significant attention. Its widespread adoption …

Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection

S Kaushik, A Bhardwaj, A Almogren, S Bharany… - Scientific Reports, 2025 - nature.com
There are serious security issues with the quick growth of IoT devices, which are
increasingly essential to Industry 4.0. These gadgets frequently function in challenging …

IoT security using heuristic aided symmetric convolution-based deep temporal convolution network for intrusion detection by extracting multi-cascaded deep attention …

R Latha, SJJ Thangaraj - Expert Systems with Applications, 2025 - Elsevier
The successful expansion of the Internet of Things (IoT) has obtained cyber criminal's
attention more than ever. The threats on IoT, if they remain unrecognized for a specific time …

IoT-based smart home security system with machine learning models

S Hızal, Ü Çavuşoğlu, D Akgün - Academic Platform Journal of …, 2024 - dergipark.org.tr
The Internet of Things (IoT) has various applications in practice, such as smart homes and
buildings, traffic management, industrial management, and smart farming. On the other …

[PDF][PDF] Machine learning with data balancing technique for IoT attack and anomalies detection

MA Arshed, MA Jabbar, F Liaquat… - Int. J. Innov. Sci …, 2022 - researchgate.net
__________________________________… owadays the significant concern in IoT
infrastructure is anomaly and attack detection from IoT devices. Due to the advanced …

Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes

R Desure, GJ Krishna - arxiv preprint arxiv:2402.10999, 2024 - arxiv.org
Designing proper treatment plans to manage diabetes requires health practitioners to pay
heed to the individuals remaining life along with the comorbidities affecting them. Older …