Building a Trust Model for Secure Data Sharing (TM-SDS) in Edge Computing Using HMAC Techniques

Karthikeyan, K.; Madhavan, Poornima

doi:10.32604/cmc.2022.019802

Cited by 5 publications

(4 citation statements)

References 32 publications

(33 reference statements)

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“…The previous work discussed DCS technological environment followed by DCS environment-related threats and attacks [4]. This paper extends the last research work by further examining the risk management methodology by incorporating two additional components, namely, trust and reputation, where trust refers to the degree of confidence in the form of probability by which one entity will assume, or expect, the behavior of another entity [5][6][7], and reputation refers to a form of indirect trust where one entity relies on surrounding entities' observation and opinion about the target entity's behavior and reliability within a specified timeframe [8].…”

Section: Introductionmentioning

confidence: 79%

TRUSED: A Trust-Based Security Evaluation Scheme for A Distributed Control System

Ali¹,

Anwar²

2023

Computers, Materials &Amp; Continua

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Distributed control systems (DCS) have revolutionized the communication process and attracted more interest due to their pervasive computing nature (cyber/physical), their monitoring capabilities and the benefits they offer. However, due to distributed communication, flexible network topologies and lack of central control, the traditional security strategies are inadequate for meeting the unique characteristics of DCS. Moreover, malicious and untrustworthy nodes pose a significant threat during the formation of a DCS network. Trust-based secure systems not only monitor and track the behavior of the nodes but also enhance the security by identifying and isolating the malicious node, which reduces the risk and increases network lifetime. In this research, we offer TRUSED, a trust-based security evaluation scheme that both, directly and indirectly, estimates each node's level of trustworthiness, incorporating the cumulative trust concept. In addition, simulation results show that the proposed technique can effectively identify malicious nodes, determine their node's trustworthiness rating, and improve the packet delivery ratio.

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Section: Introductionmentioning

confidence: 79%

TRUSED: A Trust-Based Security Evaluation Scheme for A Distributed Control System

Ali¹,

Anwar²

2023

Computers, Materials &Amp; Continua

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“…Data security is achieved at both the local and global levels in this proposed work using a centralized cloud server and a distributed edge network system. This model achieved a packet delivery ratio of 84.25% 16 …”

Section: Literature Surveymentioning

confidence: 95%

“…This model achieved a packet delivery ratio of 84.25%. 16 Rehmat Ullah et al proposed an open-source framework that integrates Edge Cloud Computing (and Named Data Networking (NDN) via an N-Tier architecture with six Cloud Tier layers and seven Edge Tier layers. NDN was combined with ECC in this paper to achieve a fast communication connection speed.…”

Section: Encryption-based Techniquesmentioning

confidence: 99%

Multilayer privacy‐preserving model for security and privacy access control in edge computing

Karthikeyan

Madhavan

2023

Concurrency and Computation

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In a recent scenario of a computing environment, the Internet of Things (IoT) provides a greater impact in several applications and services. For that Edge Computing techniques are effectively incorporated, in which the sensitive data are stored on servers.As a result, edge computing allows for data storage and operation at the network's edge to emerge as optimistic advancement. Regardless, the distinctive characteristics of edge computing including real-time computing, content perception and parallel processing have introduced a number of innovative challenges in the domain of privacy preservation and data security. Edge computing provides an extension of the cloud for designing and deploying new security resolutions in the area of IoT. In this paper, a Trusted Platform Module with Ciphertext-policy attribute-based encryption technique is introduced to provide a solution to a multilayer privacy-preserving model for efficient data storage. The developed model is adaptable and has a reliable data access control mechanism. Further, the results of the experiments demonstrate that the suggested technique operates better and give 83% results in terms of storage cost, load testing, effective runtime execution, higher security, credibility, and efficiency. K E Y W O R D Scipher text, edge computing, internet of things, multi kernel support vector machine, multilayer access control mechanism INTRODUCTIONThe spread of 5G network architecture and Internet of Things (IoT) is hastening the appearance of unique service standards and critical domains such as smart cities, intelligent transportation, location services, Augmented Reality and so on. 1 Numerous IoT sensing devices develop enormous amounts of data from the physical world such as smartphones, smart home appliances, wearable devices and so on. The edge computing prototypes are further dedicated and effective when compared to cloud computing terminal. 2 This technique includes both data clients and data producer. The benefits of edge things for an edge client include computational offload, acquiring data, storage and processing, nominal cost, minimal communication and minimal response period. The distribution of sending and receiving assistance from edge things effects in a more increased intensity of resource consumption, imposing lesser electricity costs. While the edge computing model contains multiple advantages over the conventional cloud platform, privacy issues are arising as an impediment to the implementation of the edge computing framework. 3 In order to maintain data privacy, susceptible data from owners must be encrypted prior to being sent to edge servers. In this case, users must figure out how to explore keywords in ciphertexts among encrypted files. The secure data search issues in a broadcasted and multidomain co-occurrence edge computing framework can be described to construct a protected keyword search method in a distributed repository service standard and the expansion towards the edge computing domain is required. 4 It is very essential to have f...

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“…Ensuring these aspects of integrity is crucial to maintaining the overall reliability and trustworthiness of these systems. Various approaches were proposed to preserve the integrity of data and codes in IoT networks including cryptographic approaches such as HMACHash-Based Message Authentication Code [52] and digital signatures [53]. A remote software attestation scheme that enhances integrity in IoT environments through SDN was introduced in [54].…”

Section: Security Requirements Researchmentioning

confidence: 99%

A Survey on Security, Privacy, Trust, and Architectural Challenges in IoT Systems

Adam,

Hammoudeh,

Alrawashdeh

et al. 2024

IEEE Access

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The Internet of Things (IoT) emerged as a pervasive technology, facilitating the seamless interaction of devices, individuals, and services, enabling data exchange and task execution across various domains. While the impact of IoT is undeniably transformative, its extensive proliferation raised significant concerns surrounding security, privacy, and trust, which stand as critical barriers to the widespread adoption and advancement of IoT technology. This review article explores IoT security, privacy, and trust research using a 3-layer IoT architecture. After introducing the fundamental tenets of IoT security, privacy, and trust, it proceeds to examine the prevalent security requirements within IoT architectures and their associated challenges. Then, the survey investigates the recent trends in research dedicated to addressing security, privacy, and trust issues within IoT systems. Furthermore, this article reviews the latest advancements and methodologies designed to secure IoT systems against security breaches and protect the privacy of sensitive data. Finally, the survey outlines unresolved challenges within the IoT security landscape and potential solutions. By offering this consolidated insight, this article offers a bridge between foundational and advanced IoT security topics, providing researchers with an in-depth understanding of current IoT security, privacy, and trust challenges, as well as cutting-edge solutions tailored to address the security and trust-related obstacles faced by IoT applications. This comprehensive overview equips the IoT community with the knowledge necessary to navigate the complex terrain of security, privacy, and trust in IoT systems.

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Building a Trust Model for Secure Data Sharing (TM-SDS) in Edge Computing Using HMAC Techniques

Cited by 5 publications

References 32 publications

TRUSED: A Trust-Based Security Evaluation Scheme for A Distributed Control System

TRUSED: A Trust-Based Security Evaluation Scheme for A Distributed Control System

Multilayer privacy‐preserving model for security and privacy access control in edge computing

A Survey on Security, Privacy, Trust, and Architectural Challenges in IoT Systems

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