|
|
|
|
|
Merve Ozkan-Okay, Refik Samet, Ömer Aslan, Selahattin Kosunalp, Teodor Iliev and Ivaylo Stoyanov
The fast development of communication technologies and computer systems brings several challenges from a security point of view. The increasing number of IoT devices as well as other computing devices make network communications more challenging. The num...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed A. Mohammed, Manel Boujelben and Mohamed Abid
Recently, the advent of blockchain (BC) has sparked a digital revolution in different fields, such as finance, healthcare, and supply chain. It is used by smart healthcare systems to provide transparency and control for personal medical records. However,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Tubishat, Feras Al-Obeidat, Ali Safaa Sadiq and Seyedali Mirjalili
Spam emails have become a pervasive issue in recent years, as internet users receive increasing amounts of unwanted or fake emails. To combat this issue, automatic spam detection methods have been proposed, which aim to classify emails into spam and non-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Khaled A. Alaghbari, Heng-Siong Lim, Mohamad Hanif Md Saad and Yik Seng Yong
The intrusion detection system (IDS) is a promising technology for ensuring security against cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and feature extraction are performed by two different models. In this paper,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shenghan Zhou, Tianhuai Wang, Linchao Yang, Zhao He and Siting Cao
This paper aims to build a Self-supervised Fault Detection Model for UAVs combined with an Auto-Encoder. With the development of data science, it is imperative to detect UAV faults and improve their safety. Many factors affect the fault of a UAV, such as...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kenan Shen and Dongbiao Zhao
Aircraft hydraulic fault diagnosis is an important technique in aircraft systems, as the hydraulic system is one of the key components of an aircraft. In aircraft hydraulic system fault diagnosis, complex environmental noises will lead to inaccurate resu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Farashazillah Yahya, Ali Farzamnia, Florence Sia, Nur Faraha Mohd Naim and Lorita Angeline
Plastic waste is a growing environmental concern that poses a significant threat to onshore ecosystems, human health, and wildlife. The accumulation of plastic waste in oceans has reached a staggering estimate of over eight million tons annually, leading...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dessy Riyana Wati,Mauren Gita Miranti,Suhartiningsih Suhartiningsih,Niken Purwidiani
Pág. 1 - 11
The Covid-19 pandemic forced learning to be adjusted to these conditions, the Ministry of Education and Culture has issued a circular letter Number 15 of 2020 regarding learning techniques in pandemic conditions or the new normal era which includes onlin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junwen Lu, Jinhui Wang, Xiaojun Wei, Keshou Wu and Guanfeng Liu
There is relatively little research on deep learning for anomaly detection within the field of deep learning. Existing deep anomaly detection methods focus on the learning of feature reconstruction, but such methods mainly learn new feature representatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mário Antunes, Luís Oliveira, Afonso Seguro, João Veríssimo, Ruben Salgado and Tiago Murteira
Network security encloses a wide set of technologies dealing with intrusions detection. Despite the massive adoption of signature-based network intrusion detection systems (IDSs), they fail in detecting zero-day attacks and previously unseen vulnerabilit...
ver más
|
|
|
|
|
|