The volume of data transferred across communication infrastructures has recently increased
due to technological advancements in cloud computing, the Internet of Things (IoT), and …

Intrusion detection is the core topic of network security, and the intrusion detection algorithm
based on deep learning has become a research hotspot in network security. In this paper, a …

The use of machine-learning techniques is becoming more and more frequent in solving all
those problems where it is difficult to rationally interpret the process of interest. Intrusion …

Purpose: As the use of Internet of Things (IoT) systems has become widespread, cyber-
attacks against these systems have also increased. Cyber-attacks occurring in IoT …

Bilgisayar ve internetin, günlük yaşamın vazgeçilmez bir unsuru haline gelmesi ile birlikte
internet sitelerinin ve web tabanlı uygulamaların sayısı da hızla artmıştır. Bilgi, fikir, para gibi …

Dense breast tissue is a significant factor that increases the risk of breast cancer. Current
mammographic density classification approaches are unable to provide enough …

In every network, traffic anomaly detection system is an essential field of study. In the
communication system, there are various protocols and intrusions. It is still a testing area to …

This paper aims to improve the defects of traditional convolutional neural networks in
intrusion detection systems and provide an analysis of dynamic data flow. The system first …

Internet ve kablosuz haberleşme teknolojilerinin gelişmesi paralelinde IoT alanında yapılan
çalışmalar da ilerlemektedir. Sağlık alanında kullanılan IoT sensörleri ile hastaları yakından …

Internet has connected the world globally. In this Internet environment, there are many risks
of network attacks. With the information density and global reach, the risk of integrity and …