Results 11 to 20 of about 1,222 (178)

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

Botnet Identification Technology Based on Fuzzy Clustering [PDF]

Jisuanji gongcheng, 2018
A Botnet that combining worms,backdoors,and Trojans has become the backing of Advanced Persistent Threat(APT) attacks because it can be used by attackers to send spam,perform denial of service attacks,and steal sensitive information.Existing Botnet ...
CHEN Ruidong,ZHAO Lingyuan,ZHANG Xiaosong
doaj   +1 more source

A comparative analysis of using ensemble trees for botnet detection and classification in IoT

Scientific Reports, 2023
Enhancing IoT security is a corner stone for building trust in its technology and driving its growth. Limited resources and diversified nature of IoT devices make them vulnerable to attacks.
Mohamed Saied, Shawkat Guirguis, Magda Madbouly   +2 more
doaj   +1 more source

Hybrid Metaheuristics With Machine Learning Based Botnet Detection in Cloud Assisted Internet of Things Environment

IEEE Access, 2023
Botnet detection in a cloud-aided Internet of Things (IoT) environment is a tedious process, meanwhile, IoT gadgets are extremely vulnerable to attacks due to poor security practices and limited computing resources.
Latifah Almuqren, Hamed Alqahtani, Sumayh S. Aljameel, Ahmed S. Salama, Ishfaq Yaseen, Amani A. Alneil   +5 more
doaj   +1 more source

Botnet dataset with simultaneous attack activity

Data in Brief, 2022
The proposed dataset shows characteristics of simultaneous botnet attack activities. Botnet network traffic has sequentially interconnected as formed as bidirectional network flow (binetflow), which is combined with normal activities. The dataset is generated from a simulation process by extracting botnet pattern behaviors taken from CTU-13 and NCC ...
Muhammad Aidiel Rachman Putra, Dandy Pramana Hostiadi, Tohari Ahmad   +2 more
openaire   +3 more sources

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

Sensors, 2020
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.
Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai   +4 more
doaj   +1 more source

Applications of Artificial Intelligence to Detect Android Botnets: A Survey

IEEE Access, 2022
From the growing popularity of Android smart devices, and especially with the recent advances brought on by the COVID-19 pandemic on digital adoption and transformation, the importance of protecting these devices has grown, as they carry very sensitive ...
Abdullah M. Almuhaideb, Dalal Y. Alynanbaawi   +1 more
doaj   +1 more source

Security Hardening of Botnet Detectors Using Generative Adversarial Networks

IEEE Access, 2021
Machine learning (ML) based botnet detectors are no exception to traditional ML models when it comes to adversarial evasion attacks. The datasets used to train these models have also scarcity and imbalance issues. We propose a new technique named Botshot,
Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq, Frank Comeau   +4 more
doaj   +1 more source

A Meta-Classification Model for Optimized ZBot Malware Prediction Using Learning Algorithms

Mathematics, 2023
Botnets pose a real threat to cybersecurity by facilitating criminal activities like malware distribution, attacks involving distributed denial of service, fraud, click fraud, phishing, and theft identification.
Shanmugam Jagan, Ashish Ashish, Miroslav Mahdal, Kenneth Ruth Isabels, Jyoti Dhanke, Parita Jain, Muniyandy Elangovan   +6 more
doaj   +1 more source

IoT Botnet Attack Detection Based on Optimized Extreme Gradient Boosting and Feature Selection

Sensors, 2020
Nowadays, Internet of Things (IoT) technology has various network applications and has attracted the interest of many research and industrial communities.
Mnahi Alqahtani, Hassan Mathkour, Mohamed Maher Ben Ismail   +2 more
doaj   +1 more source