An effective process of VM migration with hybrid heuristic-assisted encryption technique for secured data transmission in cloud environment

被引:2
作者
Infantia, H. Niroshini [1 ]
Anbuananth, C. [1 ]
Kalarani, S. [2 ]
机构
[1] Annamalai Univ, Comp Sci & Engn, Chidambaram, Tamil Nadu, India
[2] St Josephs Inst Technol, Informat Technol, West Hartford, CT USA
来源
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS | 2023年 / 17卷 / 04期
关键词
Virtual machine migration; derived multi-objective constraints; improved binary battle royale with moth-flame optimization; secured data transmission; hybrid homophorphic and advanced encryption standard; VIRTUAL MACHINE PLACEMENT; NETWORK; OPTIMIZATION;
D O I
10.3233/IDT-230264
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The virtualization of hardware resources like network, memory and storage are included in the core of cloud computing and are provided with the help of Virtual Machines (VM). The issues based on reliability and security reside in its acceptance in the cloud environment during the migration of VMs. VM migration highly enhanced the manageability, performance, and fault tolerance of cloud systems. Here, a set of tasks submitted by various users are arranged in the virtual cloud computing platform by using a set of VMs. Energy efficiency is effectively attained with the help of a loadbalancing strategy and it is a critical issue in the cloud environment. During the migration of VMs, providing high security is a very important task in the cloud environment. To resolve such challenges, an effective method is proposed using an optimal key-based encryption process. The main objective of this research work is to perform the VM migration and derive the multi-objective constraints with the help of hybrid heuristic improvement. The optimal VM migration is achieved by the hybrid algorithm as Improved Binary Battle Royale with Moth-flame Optimization (IBinBRMO). It can also be used to derive the multi-objective functions by some constraints like resource utilization, active servers, makespan, energy consumption, etc. After VM migration, the data transmission should take place securely between the source and destination. To secure the data, the HybridHomophorphic and Advanced Encryption Standard(HH-AES) Algorithm, where IBinBRMO optimizes the key. After optimizing the keys, the data are securely transformed along with multi-objective functions using parameters includingthe degree of modification, hiding failure rate and information preservation rate. Thus, the effectiveness is guaranteed and analyzed with other classical models. Hence, the results illustrate that the proposed work attains better performance.
引用
收藏
页码:983 / 1006
页数:24
相关论文
共 33 条
[1]   High Availability Deployment of Virtual Network Function Forwarding Graph in Cloud Computing Environments [J].
Abdelaal, Marwa A. ;
Ebrahim, Gamal A. ;
Anis, Wagdy R. .
IEEE ACCESS, 2021, 9 :53861-53884
[2]   African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems [J].
Abdollahzadeh, Benyamin ;
Gharehchopogh, Farhad Soleimanian ;
Mirjalili, Seyedali .
COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 158
[3]   BinBRO: Binary Battle Royale Optimizer algorithm [J].
Akan , Taymaz ;
Agahian, Saeid ;
Dehkharghani, Rahim .
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 195
[4]   Mixture Localization-Based Outliers Models for securing Data Migration in Cloud Centers [J].
Alkadi, Osama ;
Moustafa, Nour ;
Turnbull, Benjamin ;
Choo, Kim-Kwang Raymond .
IEEE ACCESS, 2019, 7 :114607-114618
[5]   Fully Homomorphic Encryption with AES in Cloud Computing Security [J].
Alkady, Yasmin ;
Farouk, Fifi ;
Rizk, Rawya .
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2018, 2019, 845 :370-382
[6]   HMGOWM: A Hybrid Decision Mechanism for Automating Migration of Virtual Machines [J].
Cao, Ronghui ;
Tang, Zhuo ;
Li, Kenli ;
Li, Keqin .
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2021, 14 (05) :1397-1410
[7]   An Energy-Efficient VM Prediction and Migration Framework for Overcommitted Clouds [J].
Dabbagh, Mehiar ;
Hamdaoui, Bechir ;
Guizani, Mohsen ;
Rayes, Ammar .
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2018, 6 (04) :955-966
[8]   Enabling Secure VM-vTPM Migration in Private Clouds [J].
Danev, Boris ;
Masti, Ramya Jayaram ;
Karame, Ghassan O. ;
Capkun, Srdjan .
27TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE (ACSAC 2011), 2011, :187-196
[9]   BlockchainBus: A lightweight framework for secure virtual machine migration in cloud federations using blockchain [J].
Doyle, Joseph ;
Golec, Muhammed ;
Gill, Sukhpal Singh .
SECURITY AND PRIVACY, 2022, 5 (02)
[10]   A Dynamic Virtual Machine Placement and Migration Scheme for Data Centers [J].
Duong-Ba, Thuan ;
Tran, Tuan ;
Nguyen, Thinh ;
Bose, Bella .
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2021, 14 (02) :329-341