International Journal of Scientific and Research Publications

IJSRP, Volume 7, Issue 6, June 2017 Edition [ISSN 2250-3153]

IoT Security against DDoS Attacks Using Machine Learning Algorithms
      Tayyaba Khalil
Abstract: In this report we are going to discuss how IoT can be made secure from the DDoS attacks. A Denial of Service attacks (DoS) happens to make the service unavailable to the legitimate users. The main reason of that system becomes unavailable because the victim device is overwhelmed with thousands of requests making the resources and capacity overload. The Distributed Denial of Services (DDoS) attack is carried out from a large number of systems which attack one target maliciously. For this purpose machines called botnets or zombies are used to request a service at exactly the same time.

Reference this Research Paper (copy & paste below code):

Tayyaba Khalil (2017); IoT Security against DDoS Attacks Using Machine Learning Algorithms; Int J Sci Res Publ 7(6) (ISSN: 2250-3153).
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