Results 31 to 40 of about 1,235 (177)
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 +7 more
openaire +2 more sources
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 +5 more
doaj +1 more source
IoT Botnet Detection Using Autoencoders and Decision Trees
Jurnal Sisfokom, 2023 The use of IoT devices has grown rapidly, leading to an increase in cyber attacks that pose greater security and privacy threats than ever before. One such threat is botnet attacks on IoT devices.
Susanto Susanto +2 more
doaj +1 more source
Tsinghua Science and TechnologyIn this manuscript, the authors introduce a quantum enabled Reinforcement Algorithm by Universal Features (REMF) as a lightweight solution designed to identify and assess the impact of botnet attacks on 5G Internet of Things (IoT) networks.
Katta Rajesh Babu +4 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 +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 +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 +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 +1 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Survey on Visualization of Information Diffusion over Networks
Computer Graphics Forum, EarlyView.Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl +8 more
wiley +1 more source