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 IOT Security: Intrusion Detection and Mitigation

Authors:

YEKOLLU SAI VENKATA SATHYA PAVAN SAHIL, SANEPALLI CHARAN SHIVA KUMAR, MARIYALA HARSHITH REDDY, DEVINENI SUSHANTH, DONEPUDI ROHINI

Abstract— Businesses in almost every industry have been redesigned for smarter communication and automation through investments in the Internet of Things (IoT). However, this technological change has brought about scale of cybersecurity issues with it as IoT devices are highly heterogeneous and quite limited in resources. The Internet of things (IoT) is without a doubt one of the most commercially viable technologies in history, with billions of IoT devices in use every day. However, the interconnected nature of these devices also means that they are highly vulnerable to cyber-attacks, and technological developments may prove insufficient to mitigate this threat. In this paper we study specific security challenges posed by IoT ecosystems; outline various potential innovative solutions such as lightweight encryption [1] mutual authentication [2], intrusion detection systems [3] proposed works; provide an overview of existing machine learning tools used for anomaly detection powered with Artificial intelligence which has made it easier for researchers and industries securing their Resources/trade requires building defense mechanisms using intelligent behavior over time when facing repeated cost-cyber domain attacks which operates like networks forming patterns("[4–30]). Since all these techniques still rely heavily on algorithms designed around predefined rulesets in order display higher level management capabilities suit individual needs some users near crux making lack dynamicity will result further exploitation future** The report also covers testimonials of fresh securing mechanisms like blockchain and quantum encryption as potential solutions to the proliferating threat landscape narrows down.