Security in CloneCloud for Mobile Cloud Computing

Patel, Payal; Patel, R. B.

doi:10.1109/csnt.2015.288

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…The larger the key, the higher the level of security [17]. However, it's essential to select the appropriate key length, taking into account specific security requirements, computational resources, and cryptographic approach [18]. Staying abreast of recommended key sizes is crucial, given the rapid advancements in computing technology, to ensure an unbreakable encryption strategy.…”

Section: B Containers Data Protection In the Cloudmentioning

confidence: 99%

Optimized Encryption-Integrated Strategy for Containers Scheduling and Secure Migration in Multi-Cloud Data Centers

Altahat,

Daradkeh,

Agarwal

2024

IEEE Access

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Containers are recognized for their lightweight and virtualization efficiency, making them a vital element in modern application orchestration. In this context, the scheduler is crucial in strategically distributing containers across diverse computing nodes. This paper presents a novel two-stage container scheduling solution that addresses node imbalances and efficiently deploys containers. The proposed solution formulates the scheduling process as an optimization problem, integrating various objective functions and constraints to enhance server consolidation and minimize energy consumption. The confidentiality of migrated containers is ensured through encryption, and the associated costs are incorporated into the optimization constraints. This approach ensures security in container scheduling, considering container attributes as input features in our proposed attributes-based encryption model. By carefully selecting containers and destination nodes, this work seeks to establish balance within cloud-based clusters. This contributes to the improvement of container orchestration systems and their effectiveness in real-world scenarios. The proposed solution's efficacy is demonstrated in its ability to efficiently deploy containers in multi-data center cloud environments and seamlessly migrate them between hosts within the same data center or across different data centers. The results show optimal consolidation, balanced server loads, and minimal total power consumption, highlighting the effectiveness of the proposed container scheduling approach.

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Section: B Containers Data Protection In the Cloudmentioning

confidence: 99%

Optimized Encryption-Integrated Strategy for Containers Scheduling and Secure Migration in Multi-Cloud Data Centers

Altahat,

Daradkeh,

Agarwal

2024

IEEE Access

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“…Recent research has discussed approaches like platform diversity to reduce the cyber risks of Internet-connected systems [18]. Studies have also evaluated tailored encryption schemes and adaptive authentication methods for resource-constrained SCADA [19]. As attacks grow more sophisticated, research continuously works to enhance the resiliency of modernized SCADA infrastructure against both current and emerging threats.…”

Section: Cybersecurity Risks Of Scadamentioning

confidence: 99%

Seamless Industry 4.0 Integration: A Multilayered Cyber-Security Framework for Resilient SCADA Deployments in CPPS

Wai,

Lee

2023

Applied Sciences

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The increased connectivity and automation capabilities of Industry 4.0 cyber-physical production systems (CPPS) create significant cyber-security vulnerabilities in supervisory control and data acquisition (SCADA) environments if robust protections are not properly implemented. Legacy industrial control systems and new IP-enabled sensors, instruments, controllers, and appliances often lack basic safeguards like encryption, rigorous access controls, and endpoint security. This exposes manufacturers to substantial risks of cyberattacks that could manipulate, disrupt, or disable critical physical assets and processes related to their production lines and facilities. This study presents a multilayered cybersecurity framework to address these challenges and harden SCADA environments by implementing granular access controls, network micro-segmentation, anomaly detection, encrypted communications, and legacy system upgrades. The multilayered defense-in-depth (DID) approach combines policies, processes, and technologies to counter emerging vulnerabilities. The methodology was implemented in an electronics manufacturing facility across access control, zoning, monitoring, and encryption scenarios. Results show security improvements, including 57.4% fewer unauthorized access events, 41.2% faster threat containment, and 79.2% fewer hacking attempts. The quantified metrics highlight the CPPS resilience and threat mitigation capabilities enabled by the securely designed SCADA architecture, which allows manufacturers to confidently pursue Industry 4.0 integration and digital transformation with minimized disruption.

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“…We normalize the amount of input and output data of each neuron to 1. Then we can get some specific sample points of tuple (𝑆 𝑛 , 𝐷 𝑛 off ) as (6,15), (5,10), (4,6), (3,3) and (2,1) as shown in Fig. 3(b).…”

Section: Un-offloaded Part Executed By Ue Offloaded Part Executed By ...mentioning

confidence: 99%

“…MEC normally assumes that all the users' programs and running environments should be pre-installed on edge servers in the form of virtual machines (VMs) [5] or mobile clones [6]. Recently, with the development of network function virtualization (NFV), flexible storage and service resource scheduling have made MEC more widely deployed in computation-centric networks [7] [8] [9].…”

Section: Introductionmentioning

confidence: 99%

Joint Program Partitioning and Resource Allocation for Completion Time Minimization in Multi-MEC Systems

Taizhou

Zhang

Wang

et al. 2022

IEEE Trans. Netw. Sci. Eng.

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This paper considers a practical mobile edge computing (MEC) system, where edge server does not preinstall the program required to perform user offloaded computing tasks. A partial program offloading (PPO) scheme is proposed, which can divide a user program into two parts, where the first part is executed by the user itself and the second part is transferred to an edge server for remote execution. However, the execution of the latter part requires the results of the previous part (called intermediate result) as the input. We aim to minimize the overall time consumption of a multi-server MEC system to complete all user offloaded tasks. It is modeled as a mixed integer nonlinear programming (MINLP) problem which considers user-and-server association, program partitioning, and communication resource allocation in a joint manner. An effective algorithm is developed to solve the problem by exploiting its structural features. First, the task completion time of a single server is minimized given the computing workload and available resource. Then, the working time of the edge servers are balanced by updating user-and-server association and communication resource allocation. Numerical results show that significant performance improvement can be achieved by the proposed scheme.

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Security in CloneCloud for Mobile Cloud Computing

Cited by 6 publications

References 22 publications

Optimized Encryption-Integrated Strategy for Containers Scheduling and Secure Migration in Multi-Cloud Data Centers

Optimized Encryption-Integrated Strategy for Containers Scheduling and Secure Migration in Multi-Cloud Data Centers

Seamless Industry 4.0 Integration: A Multilayered Cyber-Security Framework for Resilient SCADA Deployments in CPPS

Joint Program Partitioning and Resource Allocation for Completion Time Minimization in Multi-MEC Systems

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