Plagiarized: An Overview: Theoretical and Mathematical Perspectives for Advance Encryption Standard/Rijndael

The Internet of Things (IoT) were employed to help clients access the needed products with less effort and time. To discover the optimal path, enhanced K-Means (EK-M) clustering is utilised. By reducing the number of K from two or more to one, the conventional K-Mean has been improved. Using an IoTs platform, the optimal path should be the shortest distance. In EK-M, K is a telephone location, by using Global positioning systems sensor in a smart phone, latitude and longitude are used to detect the location of the phone, and Google Maps are used to find the locations of shops on a virtual map. The largest issue with IoT is security because of its complicated environment and the constrained resources of its devices. Blockchain is the main way that important information on IoT platforms is kept safe. In this study, the IoT framework using Blockchain with Advanced Encryption Standard (AES) in a six-block mode is protected. Products data is being encrypted, then transmitted to the Internet by means of an authorised person to be obtained from anywhere. To get at the sensors' actual readings, the decryption is finally proposed. In EK-M and AES, the suggested system yields good, secure, and balanced results. K E Y W O R D Scomputer network security, cryptography, data mining, internet of things | INTRODUCTIONThe IoT is a network that links individually identifiable computing devices, items, digital machines, mechanical devices, humans, and animals. Without computer or human-computer or human-human contact, this system may transport information [1]. IoT is a concept coined in 1999; internet-connected devices (whether wired or wireless). Reasons for Internet opportunity now and in the future are affordable gadgets, tiny, high-powered devices (sensors) of the order of millimetres or nanometres; these can operate on very little power [2]. The phrase "Internet of Things" is made up of two words: "Internet," which refers to protocols, communication, and networks; and "things," which refers to hardware components such as sensors and actuators [3]. The goal of the IoT is to improve people's lives by making everything in the world such as smart phone, smart TV, robots, motor vehicles, light bulbs, air conditioners, shelf space in your grocery store that are connected, monitored, actuating, and interacting among themselves without human intervention to perform actions that affect [4,5]. IoT is a solution that improves the medical outcome, make shopping safe and enjoyable, or make products faster, IoT entered in several domains [6]. Protecting the IoT network from security breaches is made easier with the use of blockchain technology. Blockchain is a distributed ledger technology that when used with the IoTs enables transactions to take place between machines. It makes use of a number of database-recorded transactions, validated by various means and recorded in a shared ledger accessible to all nodes [7]. IoT and blockchain work together to provide a number of potential advantages, including the ability for smart devices to operat...

show abstract

“…encoding is the product of [A] and a constant [C(x)], The value of [C(x)] is the only determining factor between the two processes [30].…”

Section: Columnmentioning

confidence: 99%

Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

2023

View full text Add to dashboard Cite

show abstract

“…Nevertheless, this method is risking the customer's credit card information and his fingerprint image by requesting it from the database and verifying them at the POS. It also needs to install the verification server on each brand store which increases the cost and decreases the reliability [10]. Another system was proposed to enhance the security of online purchasing using credit card by employing biometrics and steganography at the same time [11][12][13].…”

Section: Corporate Analysis Of Online Payment Techniquesmentioning

confidence: 99%

Secured Online Payment Using Biometric Identification System

Agbontaen

Orukpe

2013

AMR

View full text Add to dashboard Cite

In this paper, we will investigate the possibilities of using highly secured online payment via biometric system in the Nigerian environment. The system proposed enables the user to purchase any product online just by slotting a biometric embedded smart card in a portable handheld smart card reader that has a fingerprint scanner touch pad and can generate different code to authenticate online transactions. While online identification and verification processes are facing frauds and undesirable incidents, this biometric payment technology offers best solution. With the help of this technology, you can ensure that transactions on purchase of any product online are made in a reliable manner. Thus, no scope is left for criminal-minded people to create loopholes in e-commerce security.

show abstract

“…Nevertheless, this method is risking the customer's credit card information and his fingerprint image by requesting it from the database and verifying them at the POS. It also needs to install the verification server on each brand store which increase the cost and decrease the reliability (Zaidan et al, 2010a;Zaidan et al, 2010b). .…”

Section: Related Workmentioning

confidence: 99%

Security improvement of credit card online purchasing system

Naji¹,

Housain²,

Zaidan³

et al. 2011

Sci. Res. Essays

View full text Add to dashboard Cite

The paper aims to improve the security of the credit card online purchasing with taking into account the time and cost issues. Since the current online purchasing system using credit card has security drawbacks, a security improvement is suggested in this work by implementing a model which integrates the current authentication system of credit card with the fingerprint authentication. Moreover, it complements with a technique for validating and transmitting the fingerprint features. The customer submits his or her credit card information through the internet together with a file containing the fingerprint features and a validation code. This technique makes the customer feels more secure, at the same time it makes credit card fraud more difficult. Credit card information, fingerprint transaction authorization code and fingerprint features were the main components of the model. The authorization code is able to handle the usage of the scanned fingerprint features for one time only and preventing the submission of old and expired features. In addition, a 'biometric and authorization code' file is presented in this work to increase the fingerprint features security. It has its own structure in terms of storing the authorization code and fingerprint features which is unknown for the attacker and known only for the matching program. The average processing time consumed by the model to match all the data is 2.47 s while the overall accuracy rate was 99.48% with 0.52% error rate.

show abstract

Plagiarized: An Overview: Theoretical and Mathematical Perspectives for Advance Encryption Standard/Rijndael

Cited by 13 publications

References 18 publications

Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

Secured Online Payment Using Biometric Identification System

Security improvement of credit card online purchasing system

Contact Info

Product

Resources

About