EFFICIENT MALICIOUS NODE DETECTION IN WIRELESS SENSOR NETWORKS USING RABIN-KARP ALGORITHM by T Devapriya, V Ganesan, S Velmurugan

“…A scalable, lightweight algorithm that can detect and mitigate harmful behavior is the goal of this effort to improve network security. The Rabin-Karp method, well-known for its pattern-matching efficiency, is modified to verify transmitted data packets using hashes. …”
Get full text

Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…Nowadays, one of the biggest risks to network security is Distributed Denial of Service (DDoS) assaults, which cause disruptions to services by flooding systems with malicious traffic. …”
Get full text

Network Packet Sniffer: A Case Study of Kabale University. by Mugarurebye, Shawn, Gumoshabe, Rebecca

“…As a fundamental procedure of network security measurement, network data collection executes real-time network monitoring, supports network performance evaluation, assists network billing, and helps traffic testing and filtering. …”
Get full text

DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK by Trần Đắc Tốt, Phạm Tuấn Khiêm, Phạm Nguyễn Huy Phương

“…Botnets are increasingly becoming the most dangerous threats in the field of network security, and many different approaches to detecting attacks from botnets have been studied. …”
Get full text

Experimental Study and Theoretical Verification of Explosion-Proof Performance of Insulated Glass by Jinju Zhang, Xinjian Wang, Liqiong Wang, Pengchong Su

Get full text

Optimal Design of One-Sided Exponential Adaptive EWMA Scheme Based on Median Run Length by Yulong Qiao, Zixing Wu, Qian Zhang, Qin Xu, Ge Jin

Get full text

IMPROVING INTRUSION DETECTION USING TREE ADJOINING GRAMMAR GUIDED GENETIC PROGRAMMING by Vũ Văn Cảnh, Hoàng Tuấn Hảo, Nguyễn Văn Hoàn

“…Nowadays, the problem of network security has become urgent and affect the performance of modern computer networks greatly. …”
Get full text

Cryptanalysis of ultralightweight mutual authentication protocol for radio frequency identification enabled Internet of Things networks by Madiha Khalid, Umar Mujahid, Muhammad Najam-ul-Islam

“…To reduce the overall cost of radio frequency identification enabled Internet of Thing network security, the researchers use simple bitwise logical operations such as XOR , AND , OR , and Rot and have proposed many ultralightweight mutual authentication protocols. …”
Get full text

Traffic Anomaly Detection Algorithm for Wireless Sensor Networks Based on Improved Exploitation of the GM(1,1) Model by Qin Yu, Jibin Lyu, Lirui Jiang, Longjiang Li

“…Because worms, attacks, intrusions, and other kinds of malicious behaviors can be recognized by traffic analysis and anomaly detection, WSN traffic anomaly detection provides useful tools for timely reaction and appropriate prevention in network security. In the paper, we improve exploitation of GM(1,1) model to make traffic prediction and judge the traffic anomaly in WSNs. …”
Get full text

Elevated few-shot network intrusion detection via self-attention mechanisms and iterative refinement. by Congyuan Xu, Yong Zhan, Guanghui Chen, Zhiqiang Wang, Siqing Liu, Weichen Hu

“…The network intrusion detection system (NIDS) plays a critical role in maintaining network security. However, traditional NIDS relies on a large volume of samples for training, which exhibits insufficient adaptability in rapidly changing network environments and complex attack methods, especially when facing novel and rare attacks. …”
Get full text

LKM: A LDA-Based -Means Clustering Algorithm for Data Analysis of Intrusion Detection in Mobile Sensor Networks by Yuhua Zhang, Kun Wang, Min Gao, Zhiyou Ouyang, Siguang Chen

“…Intrusion detection system (IDS) is a kind of active network security technology to protect network from attacks. …”
Get full text

An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data by Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam

“…Abstract One of the widening perils in network security is the Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) ecosystem. …”
Get full text

Wireless body area network: Architecture and security mechanism for healthcare using internet of things by Arun Kumar, Ritu Dewan, Wisam Subhi Al-Dayyeni, Bharat Bhushan, Jayant Giri, Sardar MN Islam, Ahmed Elaraby

“…The data generated by small sensor devices need strong security methods for secure transmission over a public network. Security of the data sent from source to destination is handled by transport layer security (TLS) protocol and prevent message loss or reordering. …”
Get full text

A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…AD is crucial for various applications, including network security, fraud detection, predictive maintenance, fault diagnosis, and industrial and healthcare monitoring. …”
Get full text

A Modified WASPAS Method for the Evaluation of E-Commerce Websites Based on Pythagorean Fuzzy Information by Xiufang Ou, Bingbin Chen

Get full text

Enhancing the robustness of block ciphers through a graphical S-box evolution scheme for secure multimedia applications by Abdul Razaq, Muhammad Mahboob Ahsan, Hanan Alolaiyan, Musheer Ahmad, Qin Xin

“…Block ciphers are essential for the secure exchange of data and communication, as they are one of the primary components of network security systems. Modern-day block ciphers are most significantly reliant on substitution-boxes (S-boxes). …”
Get full text

A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Nuruzzaman Faruqui

“…This study offers a comprehensive literature review on the role, effect, and future prospects of AI across five critical areas of cybersecurity: threat detection, endpoint security, phishing and fraud detection, network security, and adaptive authentication. The study examines contemporary developments in AI for cybersecurity, highlighting the use of these technologies to enhance security protocols. …”
Get full text

Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments by Hui Chen, Zhendong Wang, Shuxin Yang, Xiao Luo, Daojing He, Sammy Chan

“…The swift proliferation of IoT devices has brought about a multitude of complex cyberattacks that breach network security and compromise user privacy. To address these threats, this paper proposes a synaptic intelligent convolutional neural network (SICNN) model for intrusion detection in dynamic IoT environments. …”
Get full text

Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection by Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long

Get full text

Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches by Saud Yonbawi, Adil Afzal, Muhammad Yasir, Muhammad Rizwan, Natalia Kryvinska

“…Intrusion Detection System (IDS) plays a pivotal role in safeguarding network security. The efficacy of these systems is rigorously assessed through established metrics including precision, recall, F1 score, and AUC score. …”
Get full text