SAHEFT: Security Aware Heterogeneous Earliest Finish Time Workflow Allocation Strategy for IaaS Cloud Environment

Alam, Mahfooz; Shahid, Mohammad; Mustajab, Suhel

doi:10.1109/mascon51689.2021.9563503

Cited by 10 publications

(5 citation statements)

References 35 publications

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“…Failure to comply with this might result in distrust among its customers and enterprises and decrease demand. [24][25][26] • Sensing: IoT devices assist in automation by gathering information and carrying out operations that would otherwise be carried out by people. They accomplish this by sensing their environment (such as temperature, light, sound, and pressure) and making decisions after evaluating the information.…”

Section: Essential Characteristicsmentioning

confidence: 99%

“…It is necessary to develop a scalable security paradigm to protect endpoints, networks, and the data that passes across them all. Failure to comply with this might result in distrust among its customers and enterprises and decrease demand 24‐26 Sensing : IoT devices assist in automation by gathering information and carrying out operations that would otherwise be carried out by people.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

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A comprehensive study on cybersecurity challenges and opportunities in the IoT world

Lone

Mustajab

Alam

2023

Security and Privacy

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It has become possible to link anything and everything to the Internet in recent decades due to the expanding Internet of Things (IoT). As a result, our usage of technology has changed a lot, causing digital disruption in the real world. IoT allows drones, sensors, digital set‐top boxes, surveillance cameras, wearable technology, and medical equipment to be connected to the internet. Healthcare, manufacturing, utilities, transportation, and housing are among the various sectors that has become intelligent. Recently, we have seen a surge in cybersecurity challenges and opportunities for the improvement of various IoT applications. Although cybersecurity and the IoT are extensively researched, there is a dearth of studies that exclusively focus on the evolution of cybersecurity challenges in the area of AI and machine learning, blockchain and zero trust, lightweight security, integration of IoT with 5G networks, and many more in the IoT world. The availability of environment‐capturing sensors and internet‐connected tracking devices allows for private life surveillance and cloud data transmission. Therefore, a significant problem for researchers and developers is to ensure the CIA (Confidentiality, Integrity, and Availability) security triangle for people. This paper presents a comprehensive study of cybersecurity applications, challenges, and opportunities in the IoT world. The IoT architectural layer, attacks against the IoT layer, and related issues are highlighted. Furthermore, cybersecurity issues and challenges in IoT along with the strength and weaknesses of existing techniques are discussed in detail. Our study will provide insight into various current cybersecurity research trends in the IoT world.

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Section: Essential Characteristicsmentioning

confidence: 99%

Section: Internet Of Things (Iot)mentioning

confidence: 99%

A comprehensive study on cybersecurity challenges and opportunities in the IoT world

Lone

Mustajab

Alam

2023

Security and Privacy

Self Cite

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“…These models can be categorized into a single workflow and multi-workflow allocation models. Further, Single workflow models are classified into static workflow allocation models [25,26,27,28,29,30,31,32,33,34,39,40,41,42,43,44,45,46,47,48] and dynamic workflow allocation models [35,36,37,38]. Static workflow allocation is done at compile time.…”

Section: Related Workmentioning

confidence: 99%

“…As soon as new tasks arrive, the scheduler dynamically decides the possibility of allocating these new tasks without exposing the assurances provided. The static single workflow allocation approach can be extended into list scheduling [25,26,27,28,29,30,31,32,33,34,40], clustering [41,42,43,44,45,46,47,48], etc.…”

Section: Related Workmentioning

confidence: 99%

“…DBEFT is an extended work of HEFT with the same objective. Security Aware DAG scheduling using ranking-based ordering and earliest finish time has been proposed, and superior performance has been reported in the domain [31]. In another work, level-based task ordering is used for security-oriented workflow scheduling, minimizing total number of failures [32].…”

Section: Related Workmentioning

confidence: 99%

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Levelized Multiple Workflow Allocation Strategy Under Precedence Constraints With Task Merging in IaaS Cloud Environment

et al. 2022

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Cloud Service Providers are speedily becoming the target platform for scientific workflow computations due to the massive possible and flexible pay-as-you-go pricing model. Workflow allocation problem in cloud systems is considered NP-hard. A heterogeneous IaaS cloud could be fully effective if the allocation method provides an efficient mapping between virtual machines (VMs) and workflow applications demanding execution. First, we model multiple workflow allocation problem in the cloud environment. Then, we propose a levelized multiple workflow allocation strategy with task merging (LMWS-TM) to optimize turnaround time for multiple workflow applications in the Infrastructure as a Service (IaaS) cloud environment to achieve better performance. The task merging scheme is incorporated into workflows after partitioning and prior to allocation to reduce inter-task communication share and the total number of depth levels for improving the overall completion time. Moreover, it considers the inter-task communication and inter-machine distance for estimating communication cost share among tasks on the schedule generated. Furthermore, the scheme is capable enough to use simple and flexible level attributes to tackle precedence constraints. Afterward, we conducted an experimental study to evaluate LMWS-TM by comparative performance analysis with its peers, namely SLBBS, DLS, and HEFT, on quality of service (QoS) parameters, namely, turnaround time, system utilization, flow time, and response time. The study reveals the superior performance of LMWS-TM among its considered peers in almost all the cases for almost all considered parameters under investigation. Finally, we performed statistical testing to test the significance level using SPSS 20, confirming the hypothesis drawn in the experimental study.

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Security Prioritized Heterogeneous Earliest Finish Time Workflow Allocation Algorithm for Cloud Computing

Alam

Shahid

Mustajab

2022

Lecture Notes on Data Engineering and Communications Technologies

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SAHEFT: Security Aware Heterogeneous Earliest Finish Time Workflow Allocation Strategy for IaaS Cloud Environment

Cited by 10 publications

References 35 publications

A comprehensive study on cybersecurity challenges and opportunities in the IoT world

A comprehensive study on cybersecurity challenges and opportunities in the IoT world

Levelized Multiple Workflow Allocation Strategy Under Precedence Constraints With Task Merging in IaaS Cloud Environment

Security Prioritized Heterogeneous Earliest Finish Time Workflow Allocation Algorithm for Cloud Computing

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