自适应多应用密码系统

Q3 Computer Science
Basil Al-Kasasbeh
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引用次数: 0

摘要

密码学是用于保护分布在世界各地并通过互联网连接的不同应用程序、终端和代理之间通信的核心方法。然而,随着低能耗和低存储设备的分布,在物联网(IoT)中,由于功率限制或实现超出了时间限制,无法实现加密协议,这阻碍了这些协议在实时关键应用中的可用性。为了解决这个问题,本文提出了一种自适应多应用密码系统。所提出的系统由需求标识符和实现者组成,在应用程序和传输层上实现。需求标识符检查数据的头部,确定底层应用程序及其类型。然后根据四个选项对需求进行识别和编码:高、中等、低和无安全需求。对输入进行处理,并根据识别的需求和合适的密码算法生成密文。结果表明,相对于所用算法的上界延迟,所提出的系统将延迟减少了97%。关键词:密码学,对称密钥加密,分组密码,延迟与性能,量子计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Multi-Applications Cryptographic System
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.
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来源期刊
International Journal of Advances in Soft Computing and its Applications
International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications
CiteScore
3.30
自引率
0.00%
发文量
31
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.
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