Results 31 to 40 of about 1,222 (178)

Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet

Sensors, 2022
In recent times, organisations in a variety of businesses, such as healthcare, education, and others, have been using the Internet of Things (IoT) to produce more competent and improved services.
Majda Wazzan, Daniyal Algazzawi, Aiiad Albeshri, Syed Hasan, Osama Rabie, Muhammad Zubair Asghar   +5 more
doaj   +1 more source

Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid

CoRR, 2022
Traditional botnet attacks leverage large and distributed numbers of compromised internet-connected devices to target and overwhelm other devices with internet packets. With increasing consumer adoption of high-wattage internet-facing "smart devices", a new "power botnet" attack emerges, where such devices are used to target and overwhelm power grid ...
Lynn Pepin, Lizhi Wang 0005, Jiangwei Wang, Songyang Han, Pranav Pishawikar, Amir Herzberg, Peng Zhang 0015, Fei Miao   +7 more
openaire   +2 more sources

An encryption-encoding architecture for security enhancement in 5G communication networks [PDF]

ITM Web of Conferences, 2023
This article introduces a hybrid architecture of cryptography and coding technique to provide security in 5G communication networks. There are various types of attacks in 5G communication systems.
Das Anwesha, Mishra Debasis, Rout Ashima, Mishra Suvendu Narayan   +3 more
doaj   +1 more source

Examining Social Dynamics for Countering Botnet Attacks [PDF]

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011
Even though promising results have been obtained from existing research on bots and associated command and control channels, there is little research in exploring the ways on how bots are created and distributed by adversaries. Consequently, innovative methods that help determine the linkage between the rogue programs and adversaries are imperative for
Ziming Zhao 0001, Gail-Joon Ahn, Hongxin Hu   +2 more
openaire   +1 more source

Detecting Internet of Things Bots: A Comparative Study

IEEE Access, 2021
Since the Mirai botnet attacks in 2016 research into the Internet of Things (IoT) botnet malware has increased substantially. IoT botnet relevant threats continue to rise, impacting businesses and users. This paper aims to contribute to the problem space
Ben Stephens, Arash Shaghaghi, Robin Doss, Salil S. Kanhere   +3 more
doaj   +1 more source

Intelligent Detection of IoT Botnets Using Machine Learning and Deep Learning

Applied Sciences, 2020
As the number of Internet of Things (IoT) devices connected to the network rapidly increases, network attacks such as flooding and Denial of Service (DoS) are also increasing.
Jiyeon Kim, Minsun Shim, Seungah Hong, Yulim Shin, Eunjung Choi   +4 more
doaj   +1 more source

ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks

Journal of Sensor and Actuator Networks, 2022
Due to the prompt expansion and development of intelligent systems and autonomous, energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and obstructed nearly all applications in our daily life.
Qasem Abu Al-Haija, Mu’awya Al-Dala’ien   +1 more
doaj   +1 more source

Safeguarding Online Research in Eating Disorders Against Fraud: Increasing Risks and Practical Recommendations

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing literature, and emerging studies in eating disorders (ED), we outline the risk and provide simple ...
Jamie‐Lee Pennesi, Mia L. Pellizzer, Tracey D. Wade   +2 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Enhancing Cybersecurity in the Internet of Things Environment Using Bald Eagle Search Optimization With Hybrid Deep Learning

IEEE Access
Nowadays, the Internet of Things (IoT) has become a rapid development; it can be employed by cyber threats in IoT devices. A correct system to recognize malicious attacks at IoT platforms became of major importance to minimize security threats in IoT ...
Louai A. Maghrabi, Sahar Shabanah, Turki Althaqafi, Dheyaaldin Alsalman, Sultan Algarni, Abdullah Al-Malaise Al-Ghamdi, Mahmoud Ragab   +6 more
doaj   +1 more source