Abstract
The Internet of Things had made IoT devices for cyber-attacks, and constant rise of concerns about IoT security is necessary as connectivity between different devices and objects is a key challenge. The traditional security approaches are not applicable because of size and computational power. There are many kinds of attacks like denial of service attacks, man in the middle attack, etc. Identification of non-authorized devices in the provision of security is very important to provide identification and authentication of different devices. Authenticating different objects and data is very complicated task especially from compromised devices. This paper presents a brief survey on distributed denial of service attacks.
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Niraja, K.S., Chennam, K.K., Madana Mohana, R. (2022). A Survey on DDoS Attacks from Compromised Devices to Enhance IoT Security. In: Kumar, A., Zurada, J.M., Gunjan, V.K., Balasubramanian, R. (eds) Computational Intelligence in Machine Learning. Lecture Notes in Electrical Engineering, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-16-8484-5_24
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DOI: https://doi.org/10.1007/978-981-16-8484-5_24
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