Abstract
In the present-day world, data is the key; information can change a person’s life or a country’s fate. We feel safe and secure to store our data in the databases, but the important question we need to ask ourselves will there be no intrusions on the storage? To answer this question frankly, it is “no”. The real question here is how do we face these challenges? Simply stating as the technology with the attackers improving, the intruder detection systems have been developed which are being improved with every challenge encountered. This is a really good sign for the future of cloud computing as with improvements in intruder detection systems, trust of the consumers also improves and they feel safe and secure in storing their data in the cloud systems. From years the algorithms to detect the attackers have been developing, with the inclusion of technologies like machine learning and deep learning, it has been taken to next level. In this paper, we are going to discuss and keenly observe such novel systems and proposals which aided the cloud providers with detecting and classifying the intruders and avoid the possible larceny of valuable data.
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Mohan, M., Tamizhazhagan, V., Balaji, S. (2022). Survey on Deep Learning System for Intruder Behavior Detection and Classification in Cloud Computing. In: Reddy, A.B., Kiranmayee, B., Mukkamala, R.R., Srujan Raju, K. (eds) Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-7389-4_5
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DOI: https://doi.org/10.1007/978-981-16-7389-4_5
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