Bi-Level Minimal Resource Protected Key Generation Framework For Fog Computing Applications

A. P, Bharathi.R
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Abstract

Fog computing is a viewpoint that expands on the Cloud stage concept by placing processing assets at the organization’s edges. It might be described as a cloud-like platform with comparable data, computation, storage, and applications. They are unique in that they are decentralized in nature. Data protection and route analysis of time-sensitive data are made easier using fog computing. This minimizes the volume and distance of data sent to the cloud, lowering the risk of security and privacy breaches in IoT applications. When it comes to security and privacy, fog computing confronts several issues. The constraints of fog computing resources are the root of these difficulties. The fog system, in fact, may raise new security and privacy concerns. To address these challenges, cryptography is used in conjunction with key management techniques to provide safe data transfer. A Minimal Resource Viterbi based Bi-level Secured Key Generation (MRV-BSKG) technique for a secured fog-based system is proposed to compromise the security level and computational complexity. The BSKG technique, which combines Lagrange’s Key Generation (LKG) and the Location-Based Key (LBK) generation approaches, can safeguard secrecy and integrity. In comparison to the previous techniques, the new MRV, BSKG, delivers security with improved outcomes.
用于雾计算应用的双级最小资源保护密钥生成框架
雾计算是一种扩展云阶段概念的观点,它将处理资产置于组织的边缘。它可以被描述为具有可比数据、计算、存储和应用程序的类似云的平台。它们的独特之处在于它们本质上是分散的。雾计算使时间敏感数据的数据保护和路由分析变得更加容易。这最大限度地减少了发送到云的数据量和距离,降低了物联网应用中安全和隐私泄露的风险。在安全和隐私方面,雾计算面临几个问题。雾计算资源的限制是这些困难的根源。事实上,雾系统可能会引发新的安全和隐私问题。为了应对这些挑战,密码学与密钥管理技术结合使用,以提供安全的数据传输。提出了一种基于最小资源Viterbi的双层安全密钥生成(MRV-BSKG)技术,以折衷安全级别和计算复杂度。BSKG技术结合了拉格朗日密钥生成方法(LKG)和基于位置的密钥生成方法(LBK),可以有效地保护密钥的保密性和完整性。与以前的技术相比,新的MRV, BSKG,提供了安全性和改进的结果。
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