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作 者:R.Mangalagowri Revathi Venkataraman
机构地区:[1]Computer Science Department,SRM Institute of Science and Technology,Kattankulathur,Tamil Nadu,603203,India [2]School of Computing,SRM Institute of Science and Technology,Kattankulathur,Tamil Nadu,603203,India
出 处:《Intelligent Automation & Soft Computing》2023年第2期1565-1580,共16页智能自动化与软计算(英文)
摘 要:Cloud computing involves remote server deployments with public net-work infrastructures that allow clients to access computational resources.Virtual Machines(VMs)are supplied on requests and launched without interactions from service providers.Intruders can target these servers and establish malicious con-nections on VMs for carrying out attacks on other clustered VMs.The existing system has issues with execution time and false-positive rates.Hence,the overall system performance is degraded considerably.The proposed approach is designed to eliminate Cross-VM side attacks and VM escape and hide the server’s position so that the opponent cannot track the target server beyond a certain point.Every request is passed from source to destination via one broadcast domain to confuse the opponent and avoid them from tracking the server’s position.Allocation of SECURITY Resources accepts a safety game in a simple format as input andfinds the best coverage vector for the opponent using a Stackelberg Equilibrium(SSE)technique.A Mixed Integer Linear Programming(MILP)framework is used in the algorithm.The VM challenge is reduced by afirewall-based controlling mechanism combining behavior-based detection and signature-based virus detection.The pro-posed method is focused on detecting malware attacks effectively and providing better security for the VMs.Finally,the experimental results indicate that the pro-posed security method is efficient.It consumes minimum execution time,better false positive rate,accuracy,and memory usage than the conventional approach.
关 键 词:Virtualization technology security cross-VM channel attack VM-escape R-VM-MILP algorithm(randomized VM allocation of security resources) Mixed Integer Linear Programming(MILP) SSE strategy firewall-based monitoring method
分 类 号:TP393.08[自动化与计算机技术—计算机应用技术]
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