{"title":"Adaptive Multi-Applications Cryptographic System","authors":"Basil Al-Kasasbeh","doi":"10.15849/ijasca.211128.03","DOIUrl":null,"url":null,"abstract":"Cryptography is the core method utilized to protect the communications between different applications, terminals, and agents distributed worldwide and connected via the internet. Yet, with the distribution of the low-energy and low-storage devices, in the Internet-of-Things (IoT), the cryptography protocols cannot be implemented because of the power constraints or because the implementation is beyond the time constraints that hindered their usability of these protocols in real-time critical applications. To solve this problem, an Adaptive Multi-Application Cryptography System is proposed in this paper. The proposed system consists of the requirements identifier and the implementer, implemented on the application and transportation layer. The requirement identifier examines the header of the data, determines the underlying application and its type. The requirements are then identified and encoded according to four options: high, moderate, low, and no security requirements. The inputs are processed, and ciphertext is produced based on the identified requirements and the suitable cryptography algorithm. The results showed that the proposed system reduces the delay by 97% relative to the utilized algorithms' upper-bound delay. Keywords: Cryptography, symmetric key encryption, block cipher, delay and performance, quantum computing.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advances in Soft Computing and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15849/ijasca.211128.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
Cryptography is the core method utilized to protect the communications between different applications, terminals, and agents distributed worldwide and connected via the internet. Yet, with the distribution of the low-energy and low-storage devices, in the Internet-of-Things (IoT), the cryptography protocols cannot be implemented because of the power constraints or because the implementation is beyond the time constraints that hindered their usability of these protocols in real-time critical applications. To solve this problem, an Adaptive Multi-Application Cryptography System is proposed in this paper. The proposed system consists of the requirements identifier and the implementer, implemented on the application and transportation layer. The requirement identifier examines the header of the data, determines the underlying application and its type. The requirements are then identified and encoded according to four options: high, moderate, low, and no security requirements. The inputs are processed, and ciphertext is produced based on the identified requirements and the suitable cryptography algorithm. The results showed that the proposed system reduces the delay by 97% relative to the utilized algorithms' upper-bound delay. Keywords: Cryptography, symmetric key encryption, block cipher, delay and performance, quantum computing.
期刊介绍:
The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.