Enhancing security of Internet of Robotic Things: A review of recent trends, practices, and recommendations with encryption and blockchain techniques
Повышение безопасности Интернета роботизированных устройств: обзор современных тенденций, практик и рекомендаций по применению методов шифрования и блокчейна
2024-09-03
SCID: 54.1/jbaryq2r
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AI for threat detectionInternet of Robotic Thingsblockchain technologydata privacyencryption
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Abstract (AI)
The Internet of Robotic Things (IoRT) integrates robots and autonomous devices, transforming industries such as manufacturing, healthcare, and transportation. However, security vulnerabilities in IoRT systems pose significant challenges to data privacy and system integrity. To address these issues, encryption is essential for protecting sensitive data transmitted between devices. By converting data into ciphertext, encryption ensures confidentiality and integrity, reducing the risk of unauthorized access and data breaches. Blockchain technology also enhances IoRT security by offering decentralized, tamper-proof data storage solutions. By offering comprehensive insights, practical recommendations, and future directions, this paper aims to contribute to the advancement of knowledge and practice in securing interconnected robotic systems, thereby ensuring the integrity and confidentiality of data exchanged within IoRT ecosystems. Through a thorough examination of encryption requisites, scopes, and current implementations in IoRT, this paper provides valuable insights for researchers, engineers, and policymakers involved in IoRT security efforts. By integrating encryption and blockchain technologies into IoRT systems, stakeholders can foster a secure and dependable environment, effectively manage risks, bolster user confidence, and expedite the widespread adoption of IoRT across diverse sectors. The findings of this study underscore the critical role of encryption and blockchain technology in IoRT security enhancement and highlight potential avenues for further exploration and innovation. Furthermore, this paper suggests future research areas, such as threat intelligence and analytics, security by design, multi-factor authentication, and AI for threat detection. These recommendations support ongoing innovation in securing the evolving IoRT landscape.
Key Findings
1
Blockchain can enhance IoT security through decentralized, tamper-proof data storage, reducing risks associated with centralized data management.
2
Encryption protects sensitive data exchanged among robotic devices by converting plaintext into ciphertext, strengthening confidentiality and integrity against unauthorized access and breaches.
3
Integrating encryption and blockchain is recommended to improve IoRT security, manage risks, increase user confidence, and support broader adoption across sectors.
4
IoRT systems face significant security vulnerabilities that threaten data privacy and system integrity across manufacturing, healthcare, and transportation applications.
5
Priority future research areas include threat intelligence and analytics, security-by-design approaches, multi-factor authentication, and AI-based threat detection.
Research Object
Internet of Robotic Things (IoRT) systems and ecosystems
Research Subject
security enhancement of IoRT, particularly data confidentiality, integrity, and protection against unauthorized access through encryption and blockchain
Publication Details
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2024-09-03
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