A novel secure artificial bee colony with advanced encryption standard technique for biomedical signal processing

Ahmed, Brwa Khalil Abdullah; Mahdi, Rasha Dheyaa; Mohamed, Tarek Ismail; Jaleel, Refed Adnan; Salih, Mohanad Ahmed; Zahra, Musaddak Maher Abdul

doi:10.21533/pen.v10i1.2610

Cited by 6 publications

(7 citation statements)

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“…Guaranteeing the privacy, accuracy, and accessibility of data stored in a database causes concern for the secure database. Figure 2 depicts the AES encryption method [25]. As a rule, the potential security risks of a standard database system are disregarded or unplanned behaviour or occasionally abuse by customers or directors of the framework, or licenced database overseers, or by the framework, or also the programmer or unlicensed clients, someone may gain unauthorised access to the protected data, metadata or volume inside the database or that could improperly alter the database's attempt, its structure, or the security's architecture [26].…”

Section: Product Data Security With Advanced Encryption Standardmentioning

confidence: 99%

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

2023

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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...

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Section: Product Data Security With Advanced Encryption Standardmentioning

confidence: 99%

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

2023

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“…This means it is completely reliable while decrypting (i.e., retrieving the original signal). Based on these results, the FHEAES is able to address the limitations highlighted in other studies like [11], [16], specifically, its inability to provide an internal diagnosis. Furthermore, they have no method of confirming the authenticity of human input and require key exchange, which leads to privacy leaks.…”

Section: Analysis Of Accuracy and Classification Sensitivitymentioning

confidence: 86%

“…A new, multiple-level protection method was created that makes use of ECG signals, an AES algorithm that has been applied with the signal processing, and an artificial bee colony [16]. This method can prevent plain-text attacks on ECG signals transmitted over healthcare applications by producing the primary key and a set of rule keys.…”

Section: Related Workmentioning

confidence: 99%

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Securing Signal Encryption Based on Reduced Round Homomorphic AES

2023

IJIES

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Cryptography plays a vital role in protecting information that has increased as a result of digitalization. Personal sensitive information, including electrocardiogram (ECG) signals, is widely transferred around the world, and as a result, protecting the data from unauthorized access by attackers is critical. One of the algorithms that is frequently used is the advanced encryption standard (AES) algorithm, due to its remarkable reliability and its usage in a wide range of applications. However, key exchange is still necessary to execute computations on the encrypted data, whereas time is considered the essence of the efficiency of the encryption algorithm. This study proposes and investigates the use of the proposed improved reduced round AES algorithm in conjunction with the new proposed fully homomorphic encryption (FHE) in order to preserve data privacy and eliminate key exchange restrictions. This research was employed to process, encrypt, and decrypt digital ECG signals. The suggested algorithm improves the security level and encryption and decryption times by using fewer rounds of encryption. In order to achieve this goal, it was suggested that the evaluation process be added to the AES algorithm as an extra level of security. With the evaluation process, it is possible to execute a number of computation operations homomorphically on the encrypted data without decrypting it. Additionally, the number of rounds in the AES encryption was decreased from 10 to 5. Results indicate that the proposed algorithm would take 5.39475 × 10 32 years to break, making it more efficient than the traditional AES and others. Also, the proposed algorithm has a classification sensitivity of 95.83% while simultaneously displaying an accuracy of 100%. Additionally, it may be utilized for real-time internet of things (IoT) applications.

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“…Encryption is a method of encoding data[29]. It transforms original signals, which are the original representations of data, into coded signals.…”

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confidence: 99%

Signal multiple encodings by using autoencoder deep learning

Anaz

Al-Ridha²,

Al-Nima³

2023

Bulletin EEI

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Encryption is a substantial phase in information security. It permits only approved persons to get private information. This study suggests a signal multi-encryptions system (SMES) technique for coding and decoding signals created by a deep autoencoder network (DAN). The DAN of four layers is employed for a coding package of signals multiple times before decoding or restructuring the original signals again. The suggested SMES offers a high level of security as it can produce and exploit multiple encryptions for signals. Many statistical calculations are applied to measure the reliability of the system. The outcomes are promising where noteworthy encryptions-decryptions are obtained.

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A novel secure artificial bee colony with advanced encryption standard technique for biomedical signal processing

Cited by 6 publications

References 0 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

Securing Signal Encryption Based on Reduced Round Homomorphic AES

Signal multiple encodings by using autoencoder deep learning

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