Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.
Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic.
Sensors (Basel). 2022 Jun 19;22(12):4630. doi: 10.3390/s22124630.
New technologies and trends in industries have opened up ways for distributed establishment of Cyber-Physical Systems (CPSs) for smart industries. CPSs are largely based upon Internet of Things (IoT) because of data storage on cloud servers which poses many constraints due to the heterogeneous nature of devices involved in communication. Among other challenges, security is the most daunting challenge that contributes, at least in part, to the impeded momentum of the CPS realization. Designers assume that CPSs are themselves protected as they cannot be accessed from external networks. However, these days, CPSs have combined parts of the cyber world and also the physical layer. Therefore, cyber security problems are large for commercial CPSs because the systems move with one another and conjointly with physical surroundings, i.e., Complex Industrial Applications (CIA). Therefore, in this paper, a novel data security algorithm Dynamic Hybrid Secured Encryption Technique (DHSE) is proposed based on the hybrid encryption scheme of Advanced Encryption Standard (AES), Identity-Based Encryption (IBE) and Attribute-Based Encryption (ABE). The proposed algorithm divides the data into three categories, i.e., less sensitive, mid-sensitive and high sensitive. The data is distributed by forming the named-data packets (NDPs) via labelling the names. One can choose the number of rounds depending on the actual size of a key; it is necessary to perform a minimum of 10 rounds for 128-bit keys in DHSE. The average encryption time taken by AES (Advanced Encryption Standard), IBE (Identity-based encryption) and ABE (Attribute-Based Encryption) is 3.25 ms, 2.18 ms and 2.39 ms, respectively. Whereas the average time taken by the DHSE encryption algorithm is 2.07 ms which is very much less when compared to other algorithms. Similarly, the average decryption times taken by AES, IBE and ABE are 1.77 ms, 1.09 ms and 1.20 ms and the average times taken by the DHSE decryption algorithms are 1.07 ms, which is very much less when compared to other algorithms. The analysis shows that the framework is well designed and provides confidentiality of data with minimum encryption and decryption time. Therefore, the proposed approach is well suited for CPS-IoT.
新技术和行业趋势为智能产业的分布式网络物理系统 (CPS) 开辟了道路。由于云服务器上的数据存储，CPS 在很大程度上基于物联网 (IoT)，这由于涉及通信的设备的异构性质而带来了许多限制。在其他挑战中，安全性是最令人生畏的挑战，至少在一定程度上阻碍了 CPS 的实现。设计人员假设 CPS 本身受到保护，因为它们不能从外部网络访问。然而，如今，CPS 已经将网络世界的一部分和物理层结合在一起。因此，商业 CPS 面临着很大的网络安全问题，因为这些系统彼此移动，并与物理环境一起移动，即复杂工业应用 (CIA)。因此，在本文中，基于高级加密标准 (AES)、基于身份的加密 (IBE) 和基于属性的加密 (ABE) 的混合加密方案，提出了一种新的数据安全算法动态混合安全加密技术 (DHSE)。该算法将数据分为三类，即低敏感、中敏感和高敏感。通过标记名称将数据分布为命名数据包 (NDP)。可以根据实际密钥大小选择轮数；在 DHSE 中，对于 128 位密钥，需要至少执行 10 轮。AES(高级加密标准)、IBE(基于身份的加密)和 ABE(基于属性的加密)的平均加密时间分别为 3.25ms、2.18ms 和 2.39ms，而 DHSE 加密算法的平均加密时间为 2.07ms，与其他算法相比，这非常少。同样，AES、IBE 和 ABE 的平均解密时间分别为 1.77ms、1.09ms 和 1.20ms，DHSE 解密算法的平均时间为 1.07ms，与其他算法相比，这非常少。分析表明，该框架设计良好，提供了数据机密性，加密和解密时间最短。因此，该方法非常适合 CPS-IoT。
