Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Security is considered as most crucial aspect in cloud computing. It has attracted lots of research in the recent years. On the other hand, attackers are exploring and exploiting the vulnerabilities in cloud. The heart of the Cloud computing lies in Virtualization technology. Attackers are taking the advantage of vulnerabilities in Virtual Machines and they can able to compromise virtual machines thereby launching DDOS attacks. Services such as Saas,IaaS which are meant to support end users may get affected and attackers may launch attacks either directly or by using zombies. Generally, Data Centres own security policies for dealing with security issues. Suppose incase of DDoS attacks, only the policies which deals with it ,can only been applied. However, in datacenters, all the security policies are commonly been applied on the applications irrespective of their category or security threats that it face. The existing approach consumes lots of time and wastage of resources. In this paper, we have developed an approach to segregate the applications as per the type or threats (by adapting detection mechanisms) being faced . Based on the zone in which it is lying , only the relevant security policies will only be applied. This approach is optimized where we can efficiently reduce the latency associated with applying security policies.
E.S.Phalguna Krishna. 2014. \u201cManaging DDoS attacks on Virtual Machines by Segregated Policy Management\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E6): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
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Neural Networks and Rules-based Systems used to Find Rational and
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Security is considered as most crucial aspect in cloud computing. It has attracted lots of research in the recent years. On the other hand, attackers are exploring and exploiting the vulnerabilities in cloud. The heart of the Cloud computing lies in Virtualization technology. Attackers are taking the advantage of vulnerabilities in Virtual Machines and they can able to compromise virtual machines thereby launching DDOS attacks. Services such as Saas,IaaS which are meant to support end users may get affected and attackers may launch attacks either directly or by using zombies. Generally, Data Centres own security policies for dealing with security issues. Suppose incase of DDoS attacks, only the policies which deals with it ,can only been applied. However, in datacenters, all the security policies are commonly been applied on the applications irrespective of their category or security threats that it face. The existing approach consumes lots of time and wastage of resources. In this paper, we have developed an approach to segregate the applications as per the type or threats (by adapting detection mechanisms) being faced . Based on the zone in which it is lying , only the relevant security policies will only be applied. This approach is optimized where we can efficiently reduce the latency associated with applying security policies.
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