Abstract
Cloud computing offers internet-based services to access various on-demand resources by overcoming the necessity of centralized computing. There are plenty of challenges, like privacy, security, load balancing, resource provisioning, existing in this virtualized environment. Among them, security is one of the major complications. Concerning the security and privacy issues, distributed denial of service (DDoS) attacks can cause great damage to the availability of cloud services and resources. Till now, attack mitigation strategies residues is an on-going research challenge due to the attack tendency to advance in sophistication and ease of implementation. Moreover, cloud service customers, as well as providers, need to be observant in understanding the menaces of DDoS attacks. The crux of such attack mitigation mechanism is to assure early and fast detection of illegitimate entries into the network. To address such monitoring and detecting mechanism, this paper aims to address various nature-inspired algorithms which are having the propensity to resolve malware issues, such as DDoS attacks, naturally by offering an optimized solution.
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Prathyusha, D.J., Naseera, S., Anusha, D.J., Alisha, K. (2020). A Review of Biologically Inspired Algorithms in a Cloud Environment to Combat DDoS Attacks. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 160. Springer, Singapore. https://doi.org/10.1007/978-981-32-9690-9_7
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DOI: https://doi.org/10.1007/978-981-32-9690-9_7
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