Automated Deep Learning Based Approach for Albinism Detection

Nijhawan, Rahul; Juneja, Manya; Kaur, Namneet; Yadav, Ashima; Budhiraja, Ishan

doi:10.1007/978-3-031-23599-3_20

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…E.g., commitments and stable calculations, including other cases of coin flipping and forgetful transfer, work in mistrusted cryptography. The key distribution is not in the field of mistrustful encryption [40]. The wary quantum cryptography uses quantum systems to examine the area of manipulative cryptography and can be integrated to track the communication and sniffing attempts [41].…”

Section: Quantum Encryption and Security Perspectivesmentioning

confidence: 99%

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Quantum Computing Integrated Patterns for Real-Time Cryptography in Assorted Domains

Nagpal,

Gaba,

Budhiraja

et al. 2024

IEEE Access

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Quantum computers use quantum-mechanical phenomena for knowledge manipulation and depend on quantum bits or qubits. A qubit can be created in several different ways, and out of this, one way of creating a quantum state is by using superconductivity. They must be held very cold to work on these superconductive qubits for long periods. The key to information storage and manipulation is the skill of all computer systems. Current traditional computers handle single bits stored in binary states of 0 and 1 form. Every temperature factor inside the device may be updated; thus, quantum computers are more excellent than the vacuum of space at temperatures similar to absolute null. Consider how the dilution refrigerator of a quantum computer consisting of over 2000 components provides a cold atmosphere for the inside of the qubits. Researchers from all around the world today are using actual quantum processors for validating algorithms for different fields of operation. Yet quantum computation was a strictly speculative topic a couple of decades ago. Quantum cryptography, also known as quantum encoding, uses quantum mechanics principles to encrypt messages in a way nobody else reads. It benefits quantum states, along with its "theory of no transition," which means that it cannot be disrupted unknowingly. Quantum-improved AI calculations are especially applicable to the area. This work focuses on the implementation patterns of quantum computing in real-time cryptography so that the overall communication will be secured and integrity aware. INDEX TERMS Quantum cryptography; Real time cryptography; security; integrity in real world environmentThis article has been accepted for publication in IEEE Access.

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Section: Quantum Encryption and Security Perspectivesmentioning

confidence: 99%

“…It is possible to have the Einstein-Podolsky-Rosen (EPR) paradox, that's certain. Two photons in anisotropic; two, polarized, for as long as they are measured the same way, are in an EPR pair [40] [33]. A Person could do this.…”

Section: A Quantum Computing and Real Time Cryptographymentioning

confidence: 99%

Quantum Computing Integrated Patterns for Real-Time Cryptography in Assorted Domains

Nagpal,

Gaba,

Budhiraja

et al. 2024

IEEE Access

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A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems

Gaba,

Budhiraja,

Kumar

et al. 2024

IEEE Access

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In this current era, cyber-physical systems (CPSs) have gained concentrated consideration in various fields because of their emergent applications. Though the robust dependence on communication networks creates cyber-physical systems susceptible to deliberated cyber related attacks and detecting these cyber-attacks are the most challenging task. There is the interaction among the components of the cyber and physical worlds, so CPS security needs a distinct approach from past security concerns. Deep learning (DL) distributes better performance than machine learning (ML) due to its layered architecture and the efficient algorithm for extracting prominent information from training data. So, the deep learning models are taken into consideration quickly for detecting cyber-attacks in cyber physical systems. As numerous attack detection methods have been proposed by various authors for enforcing CPS security, this paper reviews and analyzes multiple ways of attack detection presented for CPS using deep learning. We will be putting the excellent potential for detecting cyber-attacks for CPS concerning deep learning modules. The admirable performance is attained partly as highly quality datasets are eagerly obtainable for the use of the public. Moreover, various challenges and research inclinations are also discussed in impending research.

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Automated Deep Learning Based Approach for Albinism Detection

Cited by 2 publications

References 12 publications

Quantum Computing Integrated Patterns for Real-Time Cryptography in Assorted Domains

Quantum Computing Integrated Patterns for Real-Time Cryptography in Assorted Domains

A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems

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