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14 papers · ranked by Valyu relevance

01
PPubMed5 Aug 2020
Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture †
Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto + 1 more
'Kouichi Sakurai'] With the rapid development and popularization of Internet of Things (IoT) devices, an increasing number of cyber-attacks are targeting such devices. It was said that most of the attacks in IoT environments are botnet-based attacks. Many security weaknesses still exist on the IoT devices because most…
90relevance
02
PPubMed28 May 2021
A robust intelligent zero-day cyber-attack detection technique
Vikash Kumar, Ditipriya Sinha
With the introduction of the Internet to the mainstream like e-commerce, online banking, health system and other day-to-day essentials, risk of being exposed to various are increasing exponentially. Zero-day attack(s) targeting unknown vulnerabilities of a software or system opens up further research direction in the…
89relevance
03
PPubMed25 Feb 2022
Multi-Aspect Based Approach to Attack Detection in IoT Clouds
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…
85relevance
04
PPubMed22 Jun 2023
Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning
Muhammad Arsalan Paracha, Muhammad Sadiq, Junwei Liang, Muhammad Hanif Durad + 2 more
'Muhammad Hanif Durad' 'Muhammad Sheeraz' 'Jian Li'] The advancements and reliance on digital data necessitates dependence on information technology. The growing amount of digital data and their availability over the Internet have given rise to the problem of information security. With the increase in connectivity…
81relevance
05
PPubMed19 Jun 2021
Multivariable Heuristic Approach to Intrusion Detection in Network Environments
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…
80relevance
06
PPubMed16 Jun 2023
A systematic literature review for APT detection and Effective Cyber Situational Awareness (ECSA) conceptual model
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…
80relevance
07
PPubMed1 Aug 2023
High-Speed Network DDoS Attack Detection: A Survey
Rana M. Abdul Haseeb-ur-rehman, Azana Hafizah Mohd Aman, Mohammad Kamrul Hasan, Khairul Akram Zainol Ariffin + 8 more
'Mohammad Kamrul Hasan' 'Khairul Akram Zainol Ariffin' 'Abdallah Namoun' 'Ali Tufail' 'Ki-Hyung Kim' 'Rupak Kharel' 'Ahmed A. Abd El-Latif' 'Piyush Kumar Shukla' 'Prashant Kumar Shukla' 'Udai Pratap Rao'] Having a large number of device connections provides attackers with multiple ways to attack a network. This…
80relevance
08
PPubMed13 Jun 2022
Real-time DDoS flood attack monitoring and detection (RT-AMD) model for cloud computing
Omaimah Bamasag, Alaa Alsaeedi, Asmaa Munshi, Daniyal Alghazzawi + 3 more
In recent years, the advent of cloud computing has transformed the field of computing and information technology. It has been enabling customers to rent virtual resources and take advantage of various on-demand services with the lowest costs. Despite the advantages of cloud computing, it faces several threats; an…
79relevance
09
PPubMed9 Jul 2020
Comprehensive analysis and recommendation of feature evaluation measures for intrusion detection
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…
79relevance
10
PPubMed14 Jun 2024
Efficient Cyberattack Detection Methods in Industrial Control Systems
Piotr Marusak, Robert Nebeluk, Andrzej Wojtulewicz, Krzysztof Cabaj + 5 more
'Patryk Chaber' 'Maciej Ławryńczuk' 'Sebastian Plamowski' 'Krzysztof Zarzycki' 'Weizhi Meng'] The article deals with the issue of detecting cyberattacks on control algorithms running in a real Programmable Logic Controller (PLC) and controlling a real laboratory control plant. The vulnerability of the widely used…
77relevance
11
PPubMed27 Sep 2021
Identification of Distributed Denial of Services Anomalies by Using Combination of Entropy and Sequential Probabilities Ratio Test Methods
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…
77relevance
12
PPubMed1 Jun 2024
Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques
Metehan Gelgi, Yueting Guan, Sanjay Arunachala, Maddi Samba Siva Rao + 3 more
'Nicola Dragoni' 'Joaquin Ordieres Meré' 'Keshav Dahal'] Internet of Things (IoT) technology has become an inevitable part of our daily lives. With the increase in usage of IoT Devices, manufacturers continuously develop IoT technology. However, the security of IoT devices is left behind in those developments due to…
73relevance
13
PPubMed25 Apr 2021
A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies
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…
71relevance
14
PPubMed13 Aug 2021
Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic
Saif Al-mashhadi, Mohammed Anbar, Iznan Hasbullah, Taief Alaa Alamiedy + 1 more
Botnets can simultaneously control millions of Internet-connected devices to launch damaging cyber-attacks that pose significant threats to the Internet. In a botnet, bot-masters communicate with the command and control server using various communication protocols. One of the widely used communication protocols is the…
70relevance

Results for attack detection

Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture †

A robust intelligent zero-day cyber-attack detection technique

Multi-Aspect Based Approach to Attack Detection in IoT Clouds

Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning

Multivariable Heuristic Approach to Intrusion Detection in Network Environments

A systematic literature review for APT detection and Effective Cyber Situational Awareness (ECSA) conceptual model

High-Speed Network DDoS Attack Detection: A Survey

Real-time DDoS flood attack monitoring and detection (RT-AMD) model for cloud computing

Comprehensive analysis and recommendation of feature evaluation measures for intrusion detection

Efficient Cyberattack Detection Methods in Industrial Control Systems

Identification of Distributed Denial of Services Anomalies by Using Combination of Entropy and Sequential Probabilities Ratio Test Methods

Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic

Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture †

A robust intelligent zero-day cyber-attack detection technique

Multi-Aspect Based Approach to Attack Detection in IoT Clouds

Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning

Multivariable Heuristic Approach to Intrusion Detection in Network Environments

A systematic literature review for APT detection and Effective Cyber Situational Awareness (ECSA) conceptual model

High-Speed Network DDoS Attack Detection: A Survey

Real-time DDoS flood attack monitoring and detection (RT-AMD) model for cloud computing

Comprehensive analysis and recommendation of feature evaluation measures for intrusion detection

Efficient Cyberattack Detection Methods in Industrial Control Systems

Identification of Distributed Denial of Services Anomalies by Using Combination of Entropy and Sequential Probabilities Ratio Test Methods

Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic