Results 11 to 20 of about 1,235 (177)
Traceback Attacks in Cloud -- Pebbletrace Botnet [PDF]
2012 32nd International Conference on Distributed Computing Systems Workshops, 2012 Botmaster sets up Command and Control (CaC) server and stepping-stones in the Internet for stealing sensitive information from victim's machine. Clouds provide botmaster with an ideal environment of rich computing resources where he can easily deploy/remove CaC server and establish/tear-down stepping-stones for anonymous attacks.
Wenjie Lin, David Lee
+7 more sources
Application of representation learning in detecting botnet attacks. [PDF]
Sci RepBotnet detection remains a perennial and critical challenge in cybersecurity. As long as the internet exists, threat actors will devise new ways to create and disguise these malicious networks, making the development of robust detection methods a task that will never be obsolete.
Le Ngoc H.
europepmc +3 more sources
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
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 +2 more
openaire +3 more sources
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 +2 more
doaj +1 more source
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 +5 more
doaj +1 more source
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 +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 +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 +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 +6 more
doaj +1 more source