Deep Learning Approach for Encryption Techniques in Vehicular Networks

Choudhary, Dharamainder; Pahuja, Roop

doi:10.1007/s11277-022-09538-9

Cited by 16 publications

(8 citation statements)

References 41 publications

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“…Talha et al (2017) have put up an NC-based spectrum and energy efficiency broadcasting approach for the WBAN, which provides better options for direct communication. Talha and fellow Members as shown by NC technology (Choudhary and Pahuja, 2022; Peralta et al , 2019), communication reliability and reconstruction of actual data on disorder and loss of data in the Internet of Vehicles and the VANETs is enhanced. In terms of cloud deployment, a multicloud strategy provides a fault-tolerant and highly accessible solution, allowing for the recovery of lost data while also providing highly efficient redundancy for NC use.…”

Section: Related-research Workmentioning

confidence: 99%

“…It also allows ML algorithms to be executed privately (Zhang, 2019). Wang and Song (2014) and Choudhary and Pahuja (2022) introduced a fully homogenized encryption (FHE) solution for DL (deep study) in various cloud data storage without compromising secrecy. FHE was multicore.…”

Section: Related-research Workmentioning

confidence: 99%

“…While both NC and HE benefit from the cloud-based IoT architecture, important advantages of integration in supporting work as technology were addressed. Choudhary and Pahuja (2022) illustrate how data may be safely stored in the cloud and secured NC connections established. For instance, homomorphic MAC systems might be used to avoid pollution assaults in the RLNC and flag them (Yang and Mao, 2019).…”

Section: Related-research Workmentioning

confidence: 99%

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Optimized security algorithm for connected vehicular network

Choudhary

2023

IJPCC

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Purpose As the number of devices that connect to the Internet of Things (IoT) has grown, privacy and security issues have come up. Because IoT devices collect so much sensitive information, like user names, locations, phone numbers and even how they usually use energy, it is very important to protect users' privacy and security. IoT technology will be hard to use on the client side because IoT-enabled devices do not have clear privacy and security controls. Design/methodology/approach IoT technology would be harder to use on the client side if the IoT did not offer enough well-defined ways to protect users’ privacy and security. The goal of this research is to protect people's privacy in the IoT by using the oppositional artificial flora optimization (EGPKC-OAFA) algorithm to generate the best keys for the ElGamal public key cryptosystem (EGPKC). The EGPKC-OAFA approach puts the most weight on the IEEE 802.15.4 standard for MAC, which is the most important part of the standard. The security field is part of the MAC header of this standard. In addition, the MAC header includes EGPKC, which makes it possible to make authentication keys as quickly as possible. Findings With the proliferation of IoT devices, privacy and security have become major concerns in the academic world. Security and privacy are of the utmost importance due to the large amount of personally identifiable information acquired by IoT devices, such as name, location, phone numbers and energy use. Client-side deployment of IoT technologies will be hampered by the absence of well-defined privacy and security solutions afforded by the IoT. The purpose of this research is to present the EGPKC with optimum key generation using the EGPKC-OAFA algorithm for the purpose of protecting individual privacy within the context of the IoT. The EGPKC-OAFA approach is concerned with the MAC standard defined by the IEEE 802.15.4 standard, which includes the security field in its MAC header. Also, the MAC header incorporates EGPKC, which enables the fastest possible authentication key generation. In addition, the best methodology award goes to the OAFA strategy, which successfully implements the optimum EGPKC selection strategy by combining opposition-based (OBL) and standard AFA ideas. The EGPKC-OAFA method has been proved to effectively analyze performance in a number of simulations, with the results of various functions being identified. Originality/value In light of the growing prevalence of the IoT, an increasing number of people are becoming anxious about the protection and confidentiality of the personal data that they save online. This is especially true in light of the fact that more and more things are becoming connected to the internet. The IoT is capable of gathering personally identifiable information such as names, addresses and phone numbers, as well as the quantity of energy that is used. It will be challenging for customers to adopt IoT technology because of worries about the security and privacy of the data generated by users. In this work, the EGPKC is paired with adversarial artificial flora, which leads in an increase to the privacy security provided by EGPKC for the IoT (EGPKC-OAFA). The MAC security field that is part of the IEEE 802.15.4 standard is one of the areas that the EGPKC-OAFA protocol places a high focus on. The Authentication Key Generation Protocol Key Agreement, also known as EGPKCA, is used in MAC headers. The abbreviation for this protocol is EGPKCA. The OAFA technique, also known as the combination of OBL and AFA, is the most successful method for selecting EGPKCs. This method is recognized by its acronym, OAFA. It has been shown via a variety of simulations that the EGPKC-OAFA technique is a very useful instrument for carrying out performance analysis.

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Section: Related-research Workmentioning

confidence: 99%

Section: Related-research Workmentioning

confidence: 99%

Section: Related-research Workmentioning

confidence: 99%

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Optimized security algorithm for connected vehicular network

Choudhary

2023

IJPCC

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“…Yet, this fusion of technology introduces significant security concerns that demand thorough attention to safeguard the systems' safety, privacy, and dependability. The critical role of encryption in automotive WSNs is highlighted by the imperative to guard sensitive data, uphold the integrity of the data being exchanged, and secure communication across networked devices [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…The session keys themselves will be changed periodically to protect against possible brute force attacks to discover session keys. 5.…”

mentioning

confidence: 99%

Enhancing Communication Security an In-Vehicle Wireless Sensor Network

Venčkauskas,

Taparauskas,

Grigaliūnas

et al. 2024

Electronics

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Confronting the challenges of securing communication in-vehicle wireless sensor networks demands innovative solutions, particularly as vehicles become more interconnected. This paper proposes a tailored communication security framework for in-vehicle wireless sensor networks, addressing both scientific and technical challenges through effective encryption methods. It segments the local vehicle network into independent subsystems communicating via encrypted and authenticated tunnels, enhancing automotive system safety and integrity. The authors introduce a process for periodic cryptographic key exchanges, ensuring secure communication and confidentiality in key generation without disclosing parameters. Additionally, an authentication technique utilizing the sender’s message authentication code secures communication tunnels, significantly advancing automotive cybersecurity and interconnectivity protection. Through a series of steps, including key generation, sending, and cryptographic key exchange, energy costs were investigated and compared with DTLS and TLS methods. For cryptographic security, testing against brute-force attacks and analysis of potential vulnerabilities in the AES-CBC 128 encryption algorithm, HMAC authentication, and HKDF key derivation function were carried out. Additionally, an evaluation of the memory resource consumption of the DTLS and TLS protocols was compared with the proposed solution. This work is crucial for mitigating risks associated with in-vehicle communication compromises within smart cities.

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