Results 51 to 60 of about 11,129 (248)

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

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, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Botnet with Browser Extensions [PDF]

2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, 2011
Botnets are responsible for many large scale organized Internet attacks today. Along with the fight between botnet developers and defenders, the battle field has significantly evolved from traditional centralized IRC to various new approaches, aiming to make bots and command and control channel more and more stealthy.
Lei Liu 0021, Xinwen Zhang, Songqing Chen   +2 more
openaire   +1 more source

Botnets : lifecycle and taxonomy

, 2011
International audienceThe new threat of the Internet, but little known to the 'general public' is constituted by botnets. Botnets are networks of infected computers, which are headed by a pirate called also 'Attacker' or 'Master'.
Yosra Ben Mustapha, Gonzalez Granadillo, Gustavo Daniel, Gustavo Gonzalez Granadillo, DEBAR, Hervé, Herve Debar, Ben Mustapha, Yosra, Nabil Hachem, Hachem, Nabil   +7 more
core   +1 more source

Enhancing Botnet Detection in Network Security Using Profile Hidden Markov Models

Applied Sciences
A botnet is a network of compromised computer systems, or bots, remotely controlled by an attacker through bot controllers. This covert network poses a threat through large-scale cyber attacks, including phishing, distributed denial of service (DDoS ...
Rucha Mannikar, Fabio Di Troia
doaj   +1 more source

Analysis and Characterization of IoT Malware Command and Control Communication

Telfor Journal, 2020
The emergence of Mirai botnet in 2016 took worldwide research teams by surprise, proving that a large number of low-performance IoT devices could be hacked and used for illegal purposes, causing extremely voluminous DDoS attacks.
Đ. D. Jovanović, P. V. Vuletić
doaj   +1 more source

HSL‐CFS: Hybrid stacked learning with cooperative feature selection for cyberattack detection in smart grids

Energy Conversion and Economics, EarlyView.
Abstract An effective method for detecting cyberattacks is essential to the security of smart grids (SGs). In SGs, data from both cyber and physical domains can support attack detection. However, existing works insufficiently consider the heterogeneity, high dimensionality, and cross‐domain correlations of multi‐source data, affecting model ...
Qize Gao, Qiuyu Lu, June Li, Zhao Peng, Guo Shen, Ming Ni   +5 more
wiley   +1 more source

Impact of Electric Vehicles Botnets on the Power Grid [PDF]

Electrical Power and Energy Conference, 2019
The increased penetration of Electric Vehicles (EVs) in the transportation sector has increased the requirement of Fast Charging Direct Current (FCDC) stations to meet customer's speedy charging requirements.
O. G. M. Khan, E. El-Saadany, A. Youssef, M. Shaaban   +3 more
semanticscholar   +1 more source

An anomaly-based botnet detection approach for identifying stealthy botnets [PDF]

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2011
Botnets (networks of compromised computers) are often used for malicious activities such as spam, click fraud, identity theft, phishing, and distributed denial of service (DDoS) attacks. Most of previous researches have introduced fully or partially signature-based botnet detection approaches.
Sajjad Arshad, Maghsoud Abbaspour, Mehdi Kharrazi, Hooman Sanatkar   +3 more
openaire   +2 more sources

Peer-to-peer botnets: exploring behavioural characteristics and machine/deep learning-based detection

EURASIP Journal on Information Security
The orientation of emerging technologies on the Internet is moving toward decentralisation. Botnets have always been one of the biggest threats to Internet security, and botmasters have adopted the robust concept of decentralisation to develop and ...
Arkan Hammoodi Hasan Kabla, Achmad Husni Thamrin, Mohammed Anbar, Selvakumar Manickam, Shankar Karuppayah   +4 more
doaj   +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, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +1 more source