Detect and Mitigate Blockchain-Based DDoS Attacks Using Machine Learning and Smart Contracts

• DOI: 10.31449/inf.v46i7.4033
• Publication Date: 2022-10-24T14:36:51Z
• Authors: Yaser Issam Aljanabi; Aso Ahmed Majeed; Kamal H. Jihad; Banaz Anwer Qader
• Keywords: Smart contract; Provisioning

The key target of Distributed Denial-of-Service (DDoS) attacks is to interrupt and suspend any available online services either executed for professional or personal gains. These originate from the fast advancement in number insecure technologies. are caused due easy access internet advent technology resulting exponential growth traffic volumes. DDoS attack remains most leading security risks provisioning services. Also, current embraced mechanism defense lacks flexibility adequate resources combat these attacks. Hence, there need embrace various other critical resources, where they can share problem mitigation. In addition, emerging technologies instance smart contracts blockchain offers sharing potential information an entirely automated distributed manner. This paper recommends a design which combines Machine Learning (ML) technologies, by presenting new ideal opportunities towards efficient mitigation solutions variety cooperative domains. Furthermore, advantage benefits this structure deployment still existing public infrastructure blacklisted IP address even advertise white, application such with further mechanisms DDoS, deprived considering distribution specialized registries, facilitates implementation procedures across diverse presents demonstration features structure, discussion study findings over ML concludes recommending use contract collaborative block-chain mitigating future DDoS.