Ensuring Data Integrity Using Digital Signature in an IoT Environment

Kammoun, Nadia; Douss, Aida Ben Chehida; Abassi, Ryma; Fatmi, Sihem Guemara El

doi:10.1007/978-3-030-99619-2_46

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…A maritime transportation system (MTS) integrity verification technique for IoT-enabled is provided in 15 . In 16 a method for ensuring data integrity in IoT environments is presented. Using digital signatures for public-key cryptography, this method focuses on assuring the integrity of data.…”

Section: Related Workmentioning

confidence: 99%

A two-phase spatiotemporal chaos-based protocol for data integrity in IoT

Alkhonaini,

Alenizi,

Jazyah

et al. 2024

Sci Rep

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One of the biggest problems with Internet of Things (IoT) applications in the real world is ensuring data integrity. This problem becomes increasingly significant as IoT expands quickly across a variety of industries. This study presents a brand-new data integrity methodology for Internet of Things applications. The “sequence sharing” and “data exchange” stages of the suggested protocol are divided into two parts. During the first phase, each pair of nodes uses a new chaotic model for securely exchanging their identity information to generate a common sequence. This phase’s objectives include user authentication and timing calculations for the second phase of the recommended method’s packet validation phase. The recommended approach was tested in numerous settings, and various analyses were taken into account to guarantee its effectiveness. Also, the results were compared with the conventional data integrity control protocol of IoT. According to the results, the proposed method is an efficient and cost-effective integrity-ensuring mechanism with eliminates the need for third-party auditors and leads to reducing energy consumption and packet overhead. The results also show that the suggested approach is safe against a variety of threats and may be used as a successful integrity control mechanism in practical applications.

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Section: Related Workmentioning

confidence: 99%

A two-phase spatiotemporal chaos-based protocol for data integrity in IoT

Alkhonaini,

Alenizi,

Jazyah

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…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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“…Reference [10] proposed a blockchain and cloud storage based framework to guarantee the unmanned aerial vehicle data integrity. In [11], the authors presented a data integrity assurance mechanism based on digital signatures in IoT environment. Reference [12] proposed a data placement strategy named DE-DPSO-DPS to consider shared datasets across various geographically distributed environments.…”

Section: Related Workmentioning

confidence: 99%

A Lamus-Based Flight Data Sharing Model on Consortium Blockchain

Cui

Huang

et al. 2022

Security and Communication Networks

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Currently, traditional flight data sharing models cannot resist quantum attacks, which poses the risk of data leakage. The research on the flight data sharing model against quantum attack has become one of the research hotspots. Lattice-based cryptography is recognized as an effective way to resist quantum attacks. A flight data sharing model on consortium blockchain is proposed in this paper to resolve data leakage during data sharing. First, a new lattice-based multisignature scheme (Lamus) is proposed, capable of resisting quantum attacks. We prove the security of the proposed Lamus scheme in the random oracle model. Moreover, a flight data sharing model on consortium blockchain is proposed by applying the proposed Lamus scheme to resist quantum attacks. Security and performance analysis show that the model guarantees antiquantum security, and it achieves good performance in terms of storage efficiency and operating efficiency.

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Ensuring Data Integrity Using Digital Signature in an IoT Environment

Cited by 5 publications

References 9 publications

A two-phase spatiotemporal chaos-based protocol for data integrity in IoT

A two-phase spatiotemporal chaos-based protocol for data integrity in IoT

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

A Lamus-Based Flight Data Sharing Model on Consortium Blockchain

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