RETRACTED ARTICLE: Hybrid optimization with cryptography encryption for medical image security in Internet of Things

Elhoseny, Mohamed; Shankar, K.; Lakshmanaprabu, S.K.; Maseleno, Andino; Arunkumar, N.

doi:10.1007/s00521-018-3801-x

Cited by 221 publications

(79 citation statements)

References 36 publications

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“…In the technique of one group the data collector or interviewer know that there is only one possibility of the answer for all the attributes that whether the respondent tell truth or lie [11][12][13]. So data privacy is in danger for this type of technique [14][15][16][17][18]. In this way to enhance the level of privacy the data will divide in two groups.…”

Section: Two-group Methodsmentioning

confidence: 99%

Multigroup Classification using Privacy Preserving Data Mining

Erwinsyah,

Chin,

Palalloi

et al. 2019

IJEAT

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Getting the useful and important data from a huge amount of information is known as data mining. It is a prominent field for search and research of data. To improve the communication between customers and organizations data mining is used. Preserve the private data is very necessary in data mining. It is the issue on which research developed their research in many different ways. For protecting the survey privacy and to avoid the bias answer the randomized response technique was developed. To prevent the data of the survey certain randomness will add with the answers. To improve the privacy level of the preserve data this research use multigroup methods. In this approach all the survey answer divided in multiple groups and then. For different groups data should randomize differently. Based on this multiple groups the decision tree used to classify the data. One group, two group and three group’s techniques used to preserve the data

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Section: Two-group Methodsmentioning

confidence: 99%

Multigroup Classification using Privacy Preserving Data Mining

Erwinsyah,

Chin,

Palalloi

et al. 2019

IJEAT

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“…Besides all mentioned above, there are also other state-of-the-art swarm intelligence algorithms that showed outstanding performance for tackling various kinds of practical problems, for example ant colony optimization (ACO) [83], brain storm optimization (BSO) [84][85][86], krill herd (KH) [87] algorithm, tree growth algorithm (TGA) [5,88,89], and many others [90][91][92][93].…”

Section: Review Of Swarm Intelligence Metaheuristics and Its Applicatmentioning

confidence: 99%

Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm

Strumberger

Tuba

Bačanin

et al. 2019

JSAN

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Cloud computing technology enables efficient utilization of available physical resources through the virtualization where different clients share the same underlying physical hardware infrastructure. By utilizing the cloud computing concept, distributed, scalable and elastic computing resources are provided to the end-users over high speed computer networks (the Internet). Cloudlet scheduling that has a significant impact on the overall cloud system performance represents one of the most important challenges in this domain. In this paper, we introduce implementations of the original and hybridized monarch butterfly optimization algorithm that belongs to the category of swarm intelligence metaheuristics, adapted for tackling the cloudlet scheduling problem. The hybridized monarch butterfly optimization approach, as well as adaptations of any monarch butterfly optimization version for the cloudlet scheduling problem, could not be found in the literature survey. Both algorithms were implemented within the environment of the CloudSim platform. The proposed hybridized version of the monarch butterfly optimization algorithm was first tested on standard benchmark functions and, after that, the simulations for the cloudlet scheduling problem were performed using artificial and real data sets. Based on the obtained simulation results and the comparative analysis with six other state-of-the-art metaheuristics and heuristics, under the same experimental conditions and tested on the same problem instances, a hybridized version of the monarch butterfly optimization algorithm proved its potential for tackling the cloudlet scheduling problem. It has been established that the proposed hybridized implementation is superior to the original one, and also that the task scheduling problem in cloud environments can be more efficiently solved by using such an algorithm with positive implications to the cloud management.

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“…Information is a computerized system for processing data entered into information or data, storing, distributing and producing new information to complete a task automatically or as a supporter of human resources in carrying out the functions of corporate operations, controlling and returning decisions within an organization [29][30][31][32]. Information is a group of interconnected component and functions to collect, process and provide output in the form of information needed to finish business duties [33][34][35][36].…”

Section: Information Systemmentioning

confidence: 99%

Boarding House Selection using SAW Method

Mukhlis¹,

Ayshwarya

Nguyen

et al. 2019

ijrte

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Determination of residence in a new area known is influenced by many factors namely location, facilities, contract systems and prices. This journal determines the criteria used in selecting a residence. These criteria were analyzed using simple additive weighting (SAW) method. The results of the analysis obtained in the form of location criteria to determine the most suitable boarding house because the existence of boarding houses in the vicinity of public facilities is highly expected for migrants in a new area. With the advancement of information technology it can answer the need to find a boarding house, and will be very helpful both from the owner and tenant side. And not only that, with this internet technology, prospective tenants can also select a boarding house that suits their wishes. Planning a system that can assist in the determination of temporary housing is needed by tenants in finding housing that fits the desired criteria. With the creation of a DSS (Decision Support System), the selection of boarding houses is expected to help resolve the problem of alternative housing. Therefore a decision support system application program is needed to determine a temporary residence or boarding house. Decision support system is a computer-based system that aims to assist decision making by utilizing data and models to solve unstructured problems.

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RETRACTED ARTICLE: Hybrid optimization with cryptography encryption for medical image security in Internet of Things

Cited by 221 publications

References 36 publications

Multigroup Classification using Privacy Preserving Data Mining

Multigroup Classification using Privacy Preserving Data Mining

Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm

Boarding House Selection using SAW Method

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