人工智能优化的椭圆曲线与无证书数字签名,实现零信任的海事安全

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mohammed Al-Khalidi , Rabab Al-Zaidi , Tarek Ali , Safiullah Khan , Ali Kashif Bashir
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引用次数: 0

摘要

感知应用的普及促进了物联网 (IoT) 的发展,它将连接性扩展到传统计算平台之外,并将各种日常物品连接起来。海洋 Ad Hoc 网络有望成为这个互联世界的重要组成部分,形成海洋物联网 (IoMaT)。然而,海洋物联网系统通常高度分散,分布在大片稀疏的区域,这给实施和管理集中式安全措施带来了挑战。尽管目前正在努力在这种环境中建立网络连接,但确保这些网络的安全仍然是一个遥不可及的目标。无证书数字签名(CLDS)和椭圆曲线加密法(ECC)的使用为在这些网络中提供安全通信和实现零信任 IoMaT 安全带来了巨大希望。通过消除对证书和相关密钥管理基础设施的需求,CLDS 简化了密钥管理流程。ECC 还能以更小的密钥规模和更快的处理时间实现安全通信,这对于资源有限的物联网设备来说至关重要。在本文中,我们介绍了使用 ECC 的 CLDS,将其作为确保海洋环境中物联网网络安全的一种手段,为海洋物联网(IoMaT)创建了一个零信任安全框架。为了提高该框架的安全性和鲁棒性,我们使用两种重要的人工智能算法(即遗传算法(GA)和粒子群优化(PSO))优化了 ECC 参数。评估结果表明,利用遗传算法优化和粒子群优化,ECC 参数生成时间分别缩短了 40% 和 20%。此外,主要 ECC 攻击的计算成本和内存使用量大幅增加,Rho 攻击分别增加了 40% 和 67%,暴力破解攻击分别增加了 34% 和 53%,改进型混合攻击分别增加了 30% 和 67%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-optimized elliptic curve with Certificate-Less Digital Signature for zero trust maritime security
The proliferation of sensory applications has led to the development of the Internet of Things (IoT), which extends connectivity beyond traditional computing platforms and connects all kinds of everyday objects. Marine Ad Hoc Networks are expected to be an essential part of this connected world, forming the Internet of Marine Things (IoMaT). However, marine IoT systems are often highly distributed, and spread across large sparse areas which makes it challenging to implement and manage centralized security measures. Despite some ongoing efforts to establish network connectivity in such environment, securing these networks remains an unreached goal. The use of Certificate-Less Digital Signatures (CLDS) with Elliptic Curve Cryptography (ECC) shows great promise in providing secure communication in these networks and achieving zero trust IoMaT security. By eliminating the need for certificates and associated key management infrastructure, CLDS simplifies the key management process. ECC also enables secure communication with smaller key sizes and faster processing times, which is crucial for resource-limited IoMaT devices. In this paper, we introduce CLDS using ECC as a means of securing IoT networks in a marine environment, creating a zero trust security framework for Internet of Marine Things (IoMaT). To increase security and robustness of the framework, we optimize the ECC parameters using two vital artificial intelligence algorithms, namely Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Evaluation results demonstrate a reduction in ECC parameter generation time by over 40% with GA optimization and 20% with PSO optimization. Additionally, the computational cost and memory usage for major ECC attacks increased significantly by up to 40% and 67% for Rho attacks, 34% and 53% for brute-force attacks, and 30% and 67% for improved hybrid attacks, respectively.
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来源期刊
Ad Hoc Networks
Ad Hoc Networks 工程技术-电信学
CiteScore
10.20
自引率
4.20%
发文量
131
审稿时长
4.8 months
期刊介绍: The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.
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