16 papers · ranked by Valyu relevance
Adel Binbusayyis, Thavavel Vaiyapuri
The revolutionary advances in network technologies have spearheaded the design of advanced cyberattacks to surpass traditional security defense with dreadful consequences. Recently, Intrusion Detection System (IDS) is considered as a pivotal element in network security infrastructures to achieve solid line of…
Manuel Lopez-Martin, Belen Carro, Antonio Sanchez-Esguevillas, Jaime Lloret
'Jaime Lloret'] The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host’s network. In current networks, such systems are becoming more important as the number and variety of attacks increase along with the volume and sensitiveness of the…
Yanqing Yang, Kangfeng Zheng, Chunhua Wu, Yixian Yang
Intrusion detection systems play an important role in preventing security threats and protecting networks from attacks. However, with the emergence of unknown attacks and imbalanced samples, traditional machine learning methods suffer from lower detection rates and higher false positive rates. We propose a novel…
Mahdi Rabbani, Yongli Wang, Reza Khoshkangini, Hamed Jelodar + 6 more
'Ruxin Zhao' 'Sajjad Bagheri Baba Ahmadi' 'Seyedvalyallah Ayobi' 'Eirik Rosnes' 'Alexandre Graell i Amat' 'Hsuan-Yin Lin'] Network anomaly detection systems (NADSs) play a significant role in every network defense system as they detect and prevent malicious activities. Therefore, this paper offers an exhaustive…
Ilkyu Kim, Doohwan Oh, Myung Kuk Yoon, Kyueun Yi + 1 more
Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the sensor nodes owing to…
Marcin Niemiec, Rafał Kościej, Bartłomiej Gdowski, Amelia Carolina Sparavigna + 2 more
'Amelia Carolina Sparavigna' 'Héctor D. Menéndez' 'Guillermo Suárez-Tangil'] The Internet is an inseparable part of our contemporary lives. This means that protection against threats and attacks is crucial for major companies and for individual users. There is a demand for the ongoing development of methods for…
Swapnoneel Roy, Sriram Sankaran, Mini Zeng, Jose Manuel Molina López + 1 more
'Alessandra Rizzardi'] Intrusion detection systems have proliferated with varying capabilities for data generation and learning towards detecting abnormal behavior. The goal of green intrusion detection systems is to design intrusion detection systems for energy efficiency, taking into account the resource constraints…
Abdullah Al-Saleh
The Internet of Things field has created many challenges for network architectures. Ensuring cyberspace security is the primary goal of intrusion detection systems (IDSs). Due to the increases in the number and types of attacks, researchers have sought to improve intrusion detection systems by efficiently protecting…
Muhammad Fahad Umer, Muhammad Sher, Yaxin Bi, Yongtang Shi
The next-generation network provides state-of-the-art access-independent services over converged mobile and fixed networks. Security in the converged network environment is a major challenge. Traditional packet and protocol-based intrusion detection techniques cannot be used in next-generation networks due to slow…
Yi Ren, Kanghui Feng, Fei Hu, Liangyin Chen + 2 more
'Nikos Fotiou'] With the gradual integration of internet technology and the industrial control field, industrial control systems (ICSs) have begun to access public networks on a large scale. Attackers use these public network interfaces to launch frequent invasions of industrial control systems, thus resulting in…
S. Ganapathy, P. Yogesh, A. Kannan
Intrusion detection systems were used in the past along with various techniques to detect intrusions in networks effectively. However, most of these systems are able to detect the intruders only with high false alarm rate. In this paper, we propose a new intelligent agent-based intrusion detection model for mobile ad…
Wenguang Song, Mykola Beshley, Krzysztof Przystupa, Halyna Beshley + 4 more
'Orest Kochan' 'Andrii Pryslupskyi' 'Daniel Pieniak' 'Jun Su'] In this paper, to solve the problem of detecting network anomalies, a method of forming a set of informative features formalizing the normal and anomalous behavior of the system on the basis of evaluating the Hurst (H) parameter of the network traffic has…
Xuemei Sun, Bo Yan, Xinzhong Zhang, Chuitian Rong + 1 more
Considering wireless sensor network characteristics, this paper combines anomaly and mis-use detection and proposes an integrated detection model of cluster-based wireless sensor network, aiming at enhancing detection rate and reducing false rate. Adaboost algorithm with hierarchical structures is used for anomaly…
Duraid Thamer Salim, Manmeet Mahinderjit Singh, Pantea Keikhosrokiani
Advancements in computing technology and the growing number of devices (e.g., computers, mobile) connected to networks have contributed to an increase in the amount of data transmitted between devices. These data are exposed to various types of cyberattacks, one of which is advanced persistent threats (APTs). APTs are…
Vasily Desnitsky, Andrey Chechulin, Igor Kotenko, Gautam Srivastava + 3 more
This article covers the issues of constructing tools for detecting network attacks targeting devices in IoT clouds. The detection is performed within the framework of cloud infrastructure, which receives data flows that are limited in size and content, and characterize the current network interaction of the analyzed…
Basheer Husham Ali, Nasri Sulaiman, Syed Abdul Rahman Al-Haddad, Rodziah Atan + 5 more
'Rodziah Atan' 'Siti Lailatul Mohd Hassan' 'Mokhalad Alghrairi' 'Hamed Badihi' 'Tao Chen' 'Ningyun Lu'] One of the most dangerous kinds of attacks affecting computers is a distributed denial of services (DDoS) attack. The main goal of this attack is to bring the targeted machine down and make their services unavailable…