Abstract
Internet of things has significantly revamped the whole dynamics of communication. It consists of multiple heterogeneous devices which exchange and receive data over the Internet with phenomenal ubiquitous connection. The heavy penetration of these devices into everyone’s life poses diverse nature of cyber security threats. IoT devices are susceptible to vast range of attacks due to their limited computation capabilities, low power and memory constraints. Even within one IoT standard, a device typically has multiple options to communicate with other devices. Various security measures have been proposed to counter these attacks from time to time. Intrusion detection system are excellent frameworks to save these devices from such vulnerabilities. This paper aims to conduct a deep, systematic and comprehensive survey on different IDS and security frameworks. Also, a novel security framework based on deep learning algorithms and blockchain platform has been proposed for this study.
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Sharma, H., Manhas, J., Sharma, V. (2023). A Survey on Different Security Frameworks and IDS in Internet of Things. In: Singh, Y., Singh, P.K., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Proceedings of International Conference on Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 1001. Springer, Singapore. https://doi.org/10.1007/978-981-19-9876-8_17
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