A Proposed Framework for Autonomic Resource Management in Cloud Computing Environment

Mangla, Monika; Deokar, Sanjivani; Akhare, Rakhi; Gheisari, Mehdi

doi:10.1007/978-3-030-71756-8_10

Cited by 12 publications

(7 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meanwhile, the research trend went towards using the SDN paradigm with the IoT-based smart city environment as presented by the authors in [14,[22][23][24]. They first simplified the IoT environment with the SDN paradigm.…”

Section: Table 1 Comparison Between Related Workmentioning

confidence: 99%

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

Gheisari

Shojaeian

Javadpour

et al. 2023

IEEE Open J. Veh. Technol.

View full text Add to dashboard Cite

In today's world, everything is connected via the Internet. Smart cities are one application of the Internet of Things (IoT) that is aimed at making city management more efficient and effective. However, IoT devices within a smart city may collect sensitive information. Protecting sensitive information requires maintaining privacy. Existing smart city solutions have been shown not to offer effective privacy protection. We propose a novel continuous method called Differential Privacy-Preserving Smart City (DPSmartCity). When the IoT device produces sensitive data, it applies differential privacy techniques as a privacy-preserving method that uses Laplace distributions or exponential distributions. The controller receives the perturbed data and forwards it to the SDN. SDN controllers eventually send the data to the cloud for further analysis. Accordingly, if the data is not sensitive, it is directly uploaded to the cloud. In this way, DPSmartCity provides a dynamic environment from the point of view of privacy preservation. As a result, adversaries are unable to easily compromise the privacy of the devices. The solution incurs at most 10-18% overhead on IoT devices. Our solution can therefore be used for IoT devices that are capable of handling this overhead.

show abstract

Section: Table 1 Comparison Between Related Workmentioning

confidence: 99%

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

Gheisari

Shojaeian

Javadpour

et al. 2023

IEEE Open J. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…The Chinese remainder theorem is a theorem of number theory, which discovers the remainders of the Euclidean division of an integer, N, by several integers, then, one can determine the remainder of the division of number N uniquely by the product of these integers, provided that the divisors are pairwise coprime [31][32][33][34][35][36][37][38][39][40][41]. An important calculation algorithm in modular arithmetic which enables a person to solve simultaneous equations concerning different moduli in considerable generality.…”

Section: Chinese Remainder Theoremmentioning

confidence: 99%

PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things

Gheisari

Javadpour

Gao

et al. 2022

J Ambient Intell Human Comput

Self Cite

View full text Add to dashboard Cite

Data is generated over time by each device in the Internet of Things (IoT) ecosphere. Recent years have seen a resurgence in interest in the IoT due to its positive impact on society. However, due to the automatic management of IoT devices, the possibility of disclosing sensitive information without user consent is high. A situation in which information should not be unintentionally disclosed to outside parties we do not trust, i.e., privacy-preserving. Additionally, IoT devices should share their data with others to perform data aggregation and provide high-level services. There is a trade-off between the amount of data utility and the amount of disclosure of data. This trade-off has been caused a big challenge in this field. To improve this trafe-off efficiency rather than current studies, in this study, we propose a Privacy-Preserving Data Aggregation architecture, PPDMIT, that leverages homomorphic paillier encryption, K-means, a one-way hash chain, and the Chinese Remainder Theorem. We have found that the proposed privacy-preserving architecture achieves a more efficient data aggregation than current studies and improves privacy preservation by utilizing extensive simulations. Moreover, we found that our proposed architecture is highly applicable to IoT environments while preventing unauthorized data disclosure. Specifically, our solution depicted 8.096% improvement over LPDA and 6.508% over PPIOT.

show abstract

“…In conclusion, there are different ways a problem can be solved. And for attendance management system the most feasible design seems to be when cloud technologies [31][32][33][34][35][36][37][38][39] and service robots, deep learning etc. [40][41][42][43][44][45][46][47][48][49][50][51][52][53] are used in conjunction.…”

Section: Embedded Systems-based Attendance Systemsmentioning

confidence: 99%

Automation Attendance Systems Approaches: A Practical Review

Jahangir¹,

Atanu²,

Liefa³

et al. 2021

BIJIAM

View full text Add to dashboard Cite

Accounting for people is the first step of every manpower-based organization in today's world. Hence, it takes up a signification amount of energy and value in the form of money from respective organizations for both implementing a suitable system for manpower management as well as maintaining that same system. Although this amount of expenditure for big organizations is near to nothing, rather just a formality, it does not hold as much truth for small organizations such as schools, colleges, and even universities to a certain degree. This is the first point. The second point for discussion is that much work has been done to solve this issue. Various technologies like Biometrics, RFID, Bluetooth, GPS, QR Code, etc., have been used to tackle the issues of attendance collection. This study paves the path for researchers by reviewing practical methods and technologies used for existing attendance systems.

show abstract

A Proposed Framework for Autonomic Resource Management in Cloud Computing Environment

Cited by 12 publications

References 36 publications

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things

Automation Attendance Systems Approaches: A Practical Review

Contact Info

Product

Resources

About