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Lightweight authentication for IoT/Cloud-based forensics in intelligent data computing
Future Generation Computer Systems ( IF 7.5 ) Pub Date : 2020-11-17 , DOI: 10.1016/j.future.2020.11.010
B.D. Deebak , Fadi AL-Turjman

Numerous application domains in practice related to target- tracking, monitoring, and transportation have utilized the wide usage of Wireless Sensor Networks (WSN’s) technology. These domains use physical networking objects connecting over the Internet to collect and exchange the data. Using the advancement of cloud computing technologies and aggravation of big-data growth caused by the incorporation of the Internet of Things (IoT), secure user authentication for remote access is playing a crucial role. Since it has limited authorization and authentication privileges for mobility users, an approach of mobile-sink has been instigated for the improvisation of remote user authentication i.e. cloud-based IoT applications. As a result, this article proposes a lightweight smartcard based secure authentication (LS-BSA) approach using the mathematical assumption of bilinear-pairing/mapping, elliptic-curve cryptosystems, and fuzzy verifier. An extensive security investigation demonstrates that the proposed LS-BSA not only guarantees the AKA security properties but also prevents significant vulnerabilities. Furthermore, the proposed LS-BSA uses lightweight operations to establish a seamless data connectivity over a secure network. It maintains the compatibility standards including low-cost and low-power to mitigate the computation and communication cost of cloud-based intelligent data computing. Formal security verification of BAN-logic is introduced to show that LS-BSA offers proper mutual user authentication and secret secure-session key agreement between the real-time entities. In addition, a network scenario has been set up using the NS-3 simulator to prove that the proposed LS-BSA is more efficient than other existing schemes in terms of packet delivery ratio, end-to-end delay, and throughput rate.



中文翻译:

轻量级身份验证,用于智能数据计算中基于物联网/云的取证

在实践中,与目标跟踪,监视和运输相关的许多应用领域已经利用了无线传感器网络(WSN's)技术的广泛使用。这些域使用通过Internet连接的物理网络对象来收集和交换数据。随着云计算技术的进步以及由于物联网(IoT)的引入而加剧的大数据增长,用于远程访问的安全用户身份验证起着至关重要的作用。由于它对移动用户具有有限的授权和身份验证特权,因此,为简化远程用户身份验证(即基于云的IoT应用程序)而采用了移动接收器的方法。结果是,本文使用双线性对/映射,椭圆曲线密码系统和模糊验证程序的数学假设,提出了一种基于轻型智能卡的安全身份验证(LS-BSA)方法。广泛的安全研究表明,所提出的LS-BSA不仅可以保证AKA的安全性,而且还可以防止重大漏洞。此外,建议的LS-BSA使用轻量级操作来建立安全网络上的无缝数据连接。它维护包括低成本和低功耗在内的兼容性标准,以减轻基于云的智能数据计算的计算和通信成本。引入了BAN-logic的正式安全验证,以表明LS-BSA在实时实体之间提供了正确的相互用户身份验证和秘密的安全会话密钥协议。

更新日期:2020-11-21
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