Reducing the Required Time and Power for Data Encryption and Decryption Using K-NN Machine Learning

Bokhari, Mohammad Ubaidullah; Shallal, Qahtan Makki; Tamandani, Yahya Kord

doi:10.1080/03772063.2017.1419835

Cited by 15 publications

(13 citation statements)

References 11 publications

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“…Related scholars have proposed a new idea of cryptography, that is, the idea of public key cryptography, which is mainly used to solve the problem that it is difficult for symmetric encryption algorithms to transfer keys [11]. e idea is to make the encryption algorithm public, one public key for encryption and one private key for decryption.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Accounting Data Encryption Processing Based on Data Encryption Standard Algorithm

Chen

2021

Complexity

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With the application of computer and network technology in the field of accounting, the development of accounting informationization is an inevitable trend, and the construction of accounting statement data into the data warehouse will be the basis of intelligent decision-making. The complexity of industry accounting statements and the arbitrariness and diversity of users’ needs for obtaining information using statements limit the development, popularization, and application of industry accounting statements. As a block encryption algorithm, the Data Encryption Standard (DES) algorithm uses 64-bit packet data for encryption and decryption. Each eighth bit of the key is used as a parity bit; that is, the actual key length is 56 bits. Encryption and decryption use the same algorithm structure, but the order in which the subkeys are used is reversed. Under the control of the subkey, inputting 64-bit plaintext can produce 64-bit ciphertext output; otherwise, inputting 64-bit ciphertext can produce 64-bit plaintext output. The confidentiality of the DES algorithm depends on the key, and only a very small number of keys are considered weak keys, which can be easily avoided in practical applications. The 3DES algorithm is a cascade of the DES algorithm, and its encryption process is based on the DES algorithm principle. This article explains the encryption process of the DES algorithm and introduces the composition of the 3DES algorithm. The experimental results show that the 3DES encryption algorithm still has a better encryption effect and “avalanche effect” than before the improvement. In addition, for the 3DES algorithm, its encryption efficiency has not been greatly affected. The 3DES encryption algorithm achieves one encryption process at a time to some extent, can effectively resist exhaustive search attacks, and enhance the security of the DES algorithm.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Accounting Data Encryption Processing Based on Data Encryption Standard Algorithm

Chen

2021

Complexity

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“…An additional concern of confidentiality is how the network data will probably be controlled. It is essential that the applied management mechanisms must be known to the IoT users, who will be handle the process of management, and to make sure the network data is preserved through the course of action [31,32].…”

Section: Confidentialitymentioning

confidence: 99%

“…In addition, there may be one device/devices want to connect with other device/devices for the first time for the purpose of exchange data. Due to the above mentioned, a method must exist to perform the authentication between devices at ever y interaction inside the IoT [32].…”

Section: Authenticationmentioning

confidence: 99%

Internet of things (IoT): a technology review, security issues, threats, and open challenges

Abbood

Shallal

Fadhel

2020

IJEECS

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<p><span>Internet of Things (IoT) devices are spread in different areas such as e-tracking, e-commerce, e-home, and e-health, etc. Thus, during the last ten years, the internet of things technology (IoT) has been a research focus. Both privacy and security are the key concerns for the applications of IoT, and still face a huge number of challenges. There are many elements used to run the IoT technology which include hardware and software such as sensors, GPS, cameras, applications, and so forth. In this paper, we have analyzed and explain the technology of IoT along with its elements, security features, security issues, and threats that attached to each layer of IoT to guide the consideration of researchers into solve and understand the most serious problems in IoT environment.</span></p>

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“…How to automatically generate objects in an ontology class is an interesting research area in the field of semantic web. This study uses machine learning approach, including K‐means 11 and K‐nearest neighbors (K‐NN), 12 to automatically classify objects. K‐means is a common clustering algorithm whose performance depends to a large extent on the initial choice of clustering centers.…”

Section: Introductionmentioning

confidence: 99%

Integrated machine learning with semantic web for open government data recommendation based on cloud computing

Hsu

Lin

2020

Softw Pract Exp

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Summary Open government data (OGD) is a type of trusted information that can be used to verify the correctness of information on social platforms. Finding interesting OGD to serve personalized needs to facilitate the development of social platforms is a challenging research topic. This study explores how to link the Taiwanese government's open data platform with Facebook and how to recommend related OGD. First, an integrated machine learning with semantic web into cloud computing framework is defined. Next, the linked data query platform (LDQP) is developed to validate its feasibility. The LDQP provides a graphical approach for personal query and links with related Facebook fan pages. LDQP automatically finds highly relevant OGD based on recent topics that users are following on Facebook when users login to Facebook via the LDQP. In this way, the LDQP query result can be dynamically adjusted and graphically displayed according to user's Facebook operations.

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Reducing the Required Time and Power for Data Encryption and Decryption Using K-NN Machine Learning

Cited by 15 publications

References 11 publications

[Retracted] Accounting Data Encryption Processing Based on Data Encryption Standard Algorithm

[Retracted] Accounting Data Encryption Processing Based on Data Encryption Standard Algorithm

Internet of things (IoT): a technology review, security issues, threats, and open challenges

Integrated machine learning with semantic web for open government data recommendation based on cloud computing

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