Detection of Denial-of-Service Attack in Wireless Sensor Networks: A lightweight Machine Learning Approach

MA Elsadig - IEEE Access, 2023 - ieeexplore.ieee.org
The characteristics and performance of wireless sensor networks (WSNs) are the main
reasons for their rapid expansion in various fields. However, these networks are extremely …

A survey study on intrusion detection system in wireless sensor network: Challenges and considerations

M Hosseini Shirvani, A Akbarifar - Journal of Electrical and Computer …, 2024 - jecei.sru.ac.ir
Background and Objectives: Wireless sensor networks (WSNs) are ad-hoc technologies that
have various applications in different industries such as in healthcare systems, environment …

A Survey on Intrusion Detection System Based on Machine Learning and Deep Learning

V Shrivastava, AK Chaturvedi - 2023 14th International …, 2023 - ieeexplore.ieee.org
The intrusion detection system (IDS) is one of the most important security solutions for a
variety of security issues that are common on the internet today. Two of an intrusion …

Towards Detection of Network Attacks by Snort Analysis Using Machine Learning Techniques

HV Chaithanya, MS Prerana… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
Network analysis is a crucial process in identifying suspicious entities and the sequence of
actions in an attack scenario. Among the various types of attacks, flooding attacks on web …

Advancing IoT Security: A Stacked Hybrid AI Approach for Anomaly Detection

DB Ananya, KS Mahalakshmi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
AI-driven anomaly detection for Internet of Things networks is a major challenge in security.
A range of ML models and DL are used in this field. Fascinatingly, multi-layer perceptron …

Comparative Deep Learning Approach for Intrusion Detection

NK Sah, M Kolli, KP Dharmaraj… - 2024 15th International …, 2024 - ieeexplore.ieee.org
In the modern world, the security of computer networks from harmful activities is very
important since cyber threats keep changing from time to time. However, Intrusion Detection …

Mitigating Denial Based Service Attacks in Heterogeneous Sensor Networks: Strategies and Solutions

JH Desai, NS Bagle, K Rami… - 2024 11th International …, 2024 - ieeexplore.ieee.org
With the development of heterogeneous sensory networks in various applications of
domains for ensuring the security against denial based service (DoS) attacks will become a …

Optimizing Energy Efficiency and Security in Wireless Sensor Networks with a Hybrid HF-ECC

B Tharani, BP Devi - 2024 10th International Conference on …, 2024 - ieeexplore.ieee.org
Numerous distinct categories of businesses take advantage of “Wireless Sensor Networks
(WSNs)”. Interfering with “Sensor Node (SN s)” and eavesdropping on communications are …

Adaptive Layered Machine Learning Approach to Detect and Mitigate Behavioral Based Intrusions in Wireless Sensor Network

S Saathvika, BL Accamma, SK BJ - 2024 Control …, 2024 - ieeexplore.ieee.org
In today's dynamic cyber-security world, adjusting to emerging attack techniques
necessitates creative ways for threat detection and mitigation. Using the KDD Train dataset …

Effective Intrusion Detection and Prevention System of Botnet attack in Blockchain Technology using Recurrent Neural Network

NK Patel, N Anagha, SK BJ - 2024 Control Instrumentation …, 2024 - ieeexplore.ieee.org
Intrusion Detection and prevention System are most common in cyber security. The aim of
this undertaking is to delve into blockchain security and specifically apply machine learning …