Results 21 to 30 of about 1,222 (178)
Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications
Sensors, 2021 Distributed denial-of-service (DDoS) attacks are significant threats to the cyber world because of their potential to quickly bring down victims. Memcached vulnerabilities have been targeted by attackers using DDoS amplification attacks. GitHub and Arbor
Nivedita Mishra +8 more
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Botnet identification in multi-clustered DDoS attacks [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Matta, V, Di Mauro, M, Longo, M
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IEEE Access, 2023 Nowadays, there are ample amounts of Internet of Things (IoT) devices interconnected to the networks, and with technological improvement, cyberattacks and security threads, for example, botnets, are rapidly evolving and emerging with high-risk attacks. A
Fadwa Alrowais +5 more
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Honeypot Coupled Machine Learning Model for Botnet Detection and Classification in IoT Smart Factory – An Investigation [PDF]
MATEC Web of Conferences, 2021 In the United States, the manufacturing ecosystem is rebuilt and developed through innovation with the promotion of AMP 2.0. For this reason, the industry has spurred the development of 5G, Artificial Intelligence (AI), and Machine Learning (ML ...
Lee Seungjin +3 more
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Autonomous machine learning for early bot detection in the internet of things
Digital Communications and Networks, 2023 The high costs incurred due to attacks and the increasing number of different devices in the Internet of Things (IoT) highlight the necessity of the early detection of botnets (i.e., a network of infected devices) to gain an advantage against attacks ...
Alex Medeiros Araujo +2 more
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, 2023 Botnet Attacks are one of the many types of ways to attack users in their day to day browsing, often of different trends and techniques to take your information without your control. Most firewalls can amply protect you against these trends and techniques, but scarily enough, recent articles and research have shown that they are starting to bypass said
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Botnet Attack Detection with Incremental Online Learning
, 2022 AbstractIn recent years, IoT devices have often been the target of Mirai Botnet attacks. This paper develops an intrusion detection method based on Auto-Associated Dense Random Neural Network with incremental online learning, targeting the detection of Mirai Botnet attacks. The proposed method is trained only on benign IoT traffic while the IoT network
Nakip, Mert, Gelenbe, Erol
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Intelligent Botnet Traffic Detection Method Based on Multi-granularity Statistical Features [PDF]
Jisuanji kexueWith the rapid development of information technology,botnet attacks have become a higly harmful cyber security threat.Botnet detection and disposal can prevent attackers from launching other derivative attacks based on botnets.The current botnet ...
ZHANG Haixia, HUANG Kezhen, LIAN Yifeng, ZHAO Changzhi, YUAN Yunjing, PENG Yuanyuan
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The Rise of Social Botnets: Attacks and Countermeasures
IEEE Transactions on Dependable and Secure Computing, 2018 Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a single botmaster, which collaborate to conduct malicious behavior while mimicking the interactions among normal OSN ...
Jinxue Zhang +3 more
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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
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