Machine Learning-Based Botnet Detection in Software-Defined Network: A Systematic Review
نویسندگان
چکیده
منابع مشابه
A Review of Intrusion Detection Defense Solutions Based on Software Defined Network
Most networks without fixed infrastructure are based on cloud computing face various challenges. In recent years, different methods have been used to distribute software defined network to address these challenges. This technology, while having many capabilities, faces some vulnerabilities in the face of some common threats and destructive factors such as distributed Denial of Service. A review...
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As an inevitable trend of future 5G networks, Software Defined architecture has many advantages in providing centralized control and flexible resource management. But it is also confronted with various security challenges and potential threats with emerging services and technologies. As the focus of network security, Intrusion Detection Systems (IDS) are usually deployed separately without coll...
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As an inevitable trend of future 5G networks, Software Defined architecture has many advantages in providing centralized control and flexible resource management. But it is also confronted with various security challenges and potential threats with emerging services and technologies. As the focus of network security, Intrusion Detection Systems (IDS) are usually deployed separately without coll...
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As the use of mobile devices spreads dramatically, hackers have started making use of mobile botnets to steal user information or perform other malicious attacks. To address this problem, in this paper we propose a mobile botnet detection system, called MBotCS. MBotCS can detect mobile device traffic indicative of the presence of a mobile botnet based on prior training using machine learning te...
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BotNet is a type of malware that has posed serious threats to Internet community and has been a common weapon for committing cybercrimes such as spam generation, stealing sensitive information, click fraud and DDOS attacks. In this document, we propose an approach for BotNet detection at large scale where network traffic is monitored at a central core in the Internet (say a Tier-1 ISP) so that ...
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ژورنال
عنوان ژورنال: Symmetry
سال: 2021
ISSN: 2073-8994
DOI: 10.3390/sym13050866