Secure Hash Authentication in IoT based Applications

Sharma, Nishant; Sultana, H. Parveen; Singh, Rahul Kumar; Patil, Shriniwas

doi:10.1016/j.procs.2020.01.042

Cited by 13 publications

(6 citation statements)

References 10 publications

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“…However, this work may be compromised by security standards. Sharma et al developed a signature-generating technique [22] to authenticate sender and receiver transactions securely in IoT communication models. Here, the signature was generated through a well-known hashing algorithm, namely SHA-3 [23].…”

Section: Related Workmentioning

confidence: 99%

Improved End-to-End Data Security Approach for Cloud Computing

Ghosh,

Verma,

Ghosh

et al. 2023

Sustainability

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Cloud computing is one of the major cutting-edge technologies that is growing at a gigantic rate to redefine computation through service-oriented computing. It has addressed the issue of owning and managing computational infrastructure by providing service through a pay-and-use model. However, a major possible hindrance is security breaches, especially when the sender uploads or the receiver downloads the data from a remotely accessed server. It is a very generic approach to ensuring data security through different encryption techniques, but it might not be able to maintain the security standard. This paper proposes an end-to-end data security approach from the sender side to the receiver side by adding extra padding sequences, as well as randomized salting, followed by hashing and an encryption technique. The effectiveness of the proposed method was established using both a simulated system and mathematical formulations with different performance metrics. Furthermore, its performance was compared with those of contemporary algorithms, showing that the proposed algorithm creates a larger ciphertext that is almost impossible to crack due to randomization modules. However, it has significantly longer encryption and decryption times, although our primary concern is ensuring security, not reducing time.

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Section: Related Workmentioning

confidence: 99%

Improved End-to-End Data Security Approach for Cloud Computing

Ghosh,

Verma,

Ghosh

et al. 2023

Sustainability

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“…In expression (7), the variable 𝐴 = 𝑓(𝜓23, 𝐵, 𝑆, 𝑅, 𝐿) and 𝐵 = 𝑓(𝜓22, 𝐵, 𝑆, 𝑅, 𝐿(𝐿 𝑖 22 )), where 𝜓23/ 𝜓22 represents binary XOR operation, 𝐵 represents a binary operation in rows over state bits, 𝑆 represents in-slice permutation over state bits, 𝑅 represents rotation over state bits 𝐿 represents linear operation with all input bits and single output bits. The above expression is slightly modified to include a fault in the form of 𝛥𝐿_𝑖^22 to generate a fault hash of:…”

Section: Extensive Fault Analysismentioning

confidence: 99%

“…However, this secure communication area has a long history of achievements and failures. Several encoding messages have appeared over the eras and are continually broken after a while [7]. A cryptographic hash algorithm aims to provide secure communication using the digest of messages to generate a hash value of data to detect unauthorized attempts to data.…”

Section: Introductionmentioning

confidence: 99%

Evolution and Analysis of Secured Hash Algorithm (Sha) Family

Khan

Olanrewaju

Morshidi

et al. 2022

MJCS

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With the rapid advancement of technologies and proliferation of intelligent devices, connecting to the internet challenges have grown manifold, such as ensuring communication security and keeping user credentials secret. Data integrity and user privacy have become crucial concerns in any ecosystem of advanced and interconnected communications. Cryptographic hash functions have been extensively employed to ensure data integrity in insecure environments. Hash functions are also combined with digital signatures to offer identity verification mechanisms and non-repudiation services. The federal organization National Institute of Standards and Technology (NIST) established the SHA to provide security and optimal performance over some time. The most well-known hashing standards are SHA-1, SHA-2, and SHA-3. This paper discusses the background of hashing, followed by elaborating on the evolution of the SHA family. The main goal is to present a comparative analysis of these hashing standards and focus on their security strength, performance and limitations against common attacks. The complete assessment was carried out using statistical analysis, performance analysis and extensive fault analysis over a defined test environment. The study outcome showcases the issues of SHA-1 besides exploring the security benefits of all the dominant variants of SHA-2 and SHA-3. The study also concludes that SHA-3 is the best option to mitigate novice intruders while allowing better performance cost-effectively.

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“…Biometrics and digital signatures are used to verify the authenticity and strengthen the security measures of transmission, which ensure integrity and prevent eavesdropping or interception as it is hard to decipher and tamper with the data. Hashing is also used to encrypt the data, as it converts the passwords into fixed-size strings of characters, a process that is irreversible as it is a one-way process [ 7 ]. In terms of access control, the data is secured by implementing defensive and secure mechanisms such as role-based access control, whose functionality is to restrict access to resources based on the user’s functional roles and responsibilities by revoking or enforcing the privilege-based access level provided.…”

Section: Introductionmentioning

confidence: 99%

Security Analysis for Smart Healthcare Systems

Ibrahim,

Al-Wadi,

Elhafiz

2024

Sensors

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The healthcare industry went through reformation by integrating the Internet of Medical Things (IoMT) to enable data harnessing by transmission mediums from different devices, about patients to healthcare staff devices, for further analysis through cloud-based servers for proper diagnosis of patients, yielding efficient and accurate results. However, IoMT technology is accompanied by a set of drawbacks in terms of security risks and vulnerabilities, such as violating and exposing patients’ sensitive and confidential data. Further, the network traffic data is prone to interception attacks caused by a wireless type of communication and alteration of data, which could cause unwanted outcomes. The advocated scheme provides insight into a robust Intrusion Detection System (IDS) for IoMT networks. It leverages a honeypot to divert attackers away from critical systems, reducing the attack surface. Additionally, the IDS employs an ensemble method combining Logistic Regression and K-Nearest Neighbor algorithms. This approach harnesses the strengths of both algorithms to improve attack detection accuracy and robustness. This work analyzes the impact, performance, accuracy, and precision outcomes of the used model on two IoMT-related datasets which contain multiple attack types such as Man-In-The-Middle (MITM), Data Injection, and Distributed Denial of Services (DDOS). The yielded results showed that the proposed ensemble method was effective in detecting intrusion attempts and classifying them as attacks or normal network traffic, with a high accuracy of 92.5% for the first dataset and 99.54% for the second dataset and a precision of 96.74% for the first dataset and 99.228% for the second dataset.

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Secure Hash Authentication in IoT based Applications

Cited by 13 publications

References 10 publications

Improved End-to-End Data Security Approach for Cloud Computing

Improved End-to-End Data Security Approach for Cloud Computing

Evolution and Analysis of Secured Hash Algorithm (Sha) Family

Security Analysis for Smart Healthcare Systems

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