Detection of unknown ddos attack using convolutional neural networks featuring geometrical metric

CS Shieh, TT Nguyen, MF Horng - Mathematics, 2023 - mdpi.com
DDoS attacks remain a persistent cybersecurity threat, blocking services to legitimate users
and causing significant damage to reputation, finances, and potential customers. For the …

Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection

F Safarov, M Basak, R Nasimov, A Abdusalomov… - Future Internet, 2023 - mdpi.com
In the rapidly evolving landscape of internet usage, ensuring robust cybersecurity measures
has become a paramount concern across diverse fields. Among the numerous cyber threats …

[PDF][PDF] A framework for robust attack detection and classification using rap-densenet

TS Adekunle, TA Adeleke, O Sunday, GN Ebong… - …, 2023 - researchgate.net
Network attacks must be effectively identified and categorized to guarantee strong security.
However, current techniques frequently have trouble correctly identifying and categorizing …

Open-Set Recognition in Unknown DDoS Attacks Detection with Reciprocal Points Learning

CS Shieh, FA Ho, MF Horng, TT Nguyen… - IEEE …, 2024 - ieeexplore.ieee.org
The internet, a cornerstone of modern life, has profound implications across personal,
business, and society. However, its widespread use has posed challenges, especially …

Unknown, Atypical and Polymorphic Network Intrusion Detection: A Systematic Survey

U Sabeel, SS Heydari, K El-Khatib… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Agile network security is paramount in our modern world which is currently dominated by
Internet systems and expanding digital spaces. This rapid digital transformation has created …

[PDF][PDF] Unknown DDoS Attack Detection with Fuzzy C-Means Clustering and Spatial Location Constraint Prototype Loss.

TL Nguyen, H Kao, TT Nguyen… - … , Materials & Continua, 2024 - cdn.techscience.cn
Since its inception, the Internet has been rapidly evolving. With the advancement of science
and technology and the explosive growth of the population, the demand for the Internet has …

Real-Time Recognition and Tracking in Urban Spaces Through Deep Learning: A Case Study

W Villegas-Ch, S Sánchez-Viteri, S Luján-Mora - IEEE Access, 2024 - ieeexplore.ieee.org
Real-time object detection in urban environments is critical for security, transportation, and
surveillance applications. This work presents an approach based on the You Only Look …

Rap-Densenet Framework for Network Attack Detection and Classification

AK Silivery, KRM Rao, SLK Kumar - Journal of Information & …, 2024 - World Scientific
Cybersecurity is becoming increasingly important with the rise in Internet usage. The two
most frequent cyberattacks that can seriously harm a website or a server and render them …

Sustainable Islamic Financial Inclusion: The Ethical Challenges of Generative AI in Product and Service Development

ER Kismawadi - Exploring the Ethical Implications of Generative AI, 2024 - igi-global.com
The study investigates the convergence of digital transformation, artificial intelligence (AI),
and Islamic finance. In particular, it examines the ethical consequences that may arise from …

Reciprocal Points Learning Based Unknown DDoS Attacks Detection

FA Ho, CS Shieh, MF Horng, TT Nguyen… - Asian Conference on …, 2023 - Springer
In recent years, the increasing reliance on Internet services has made the Internet an
integral part of our daily life. The COVID-19 pandemic has further accelerated this trend by …