State of the Art in Biometric Key Binding and Key Generation Schemes

Direct storage of biometric templates in databases exposes the authentication system and legitimate users to numerous security and privacy challenges. Biometric cryptosystems or template protection schemes are used to overcome the security and privacy challenges associated with the use of biometrics as a means of authentication. This paper presents a review of previous works in biometric key binding and key generation schemes. The review focuses on key binding techniques such as biometric encryption, fuzzy commitment scheme, fuzzy vault and shielding function. Two categories of key generation schemes considered are private template and quantization schemes. The paper also discusses the modes of operations, strengths and weaknesses of various kinds of key-based template protection schemes. The goal is to provide the reader with a clear understanding of the current and emerging trends in key-based biometric cryptosystems

Authenticated public key elliptic curve based on deep convolutional neural network for cybersecurity image encryption application

The demand for cybersecurity is growing to safeguard information flow and enhance data privacy. This essay suggests a novel authenticated public key elliptic curve based on a deep convolutional neural network (APK-EC-DCNN) for cybersecurity image encryption application. The public key elliptic curve discrete logarithmic problem (EC-DLP) is used for elliptic curve Diffie–Hellman key exchange (EC-DHKE) in order to generate a shared session key, which is used as the chaotic system’s beginning conditions and control parameters. In addition, the authenticity and confidentiality can be archived based on ECC to share the (Formula presented.) parameters between two parties by using the EC-DHKE algorithm. Moreover, the 3D Quantum Chaotic Logistic Map (3D QCLM) has an extremely chaotic behavior of the bifurcation diagram and high Lyapunov exponent, which can be used in high-level security. In addition, in order to achieve the authentication property, the secure hash function uses the output sequence of the DCNN and the output sequence of the 3D QCLM in the proposed authenticated expansion diffusion matrix (AEDM). Finally, partial frequency domain encryption (PFDE) technique is achieved by using the discrete wavelet transform in order to satisfy the robustness and fast encryption process. Simulation results and security analysis demonstrate that the proposed encryption algorithm achieved the performance of the state-of-the-art techniques in terms of quality, security, and robustness against noise- and signal-processing attacks

Study of Data Security Algorithms using Verilog HDL

This paper describes an overview of data security algorithms and its performance evaluation. AES, RC5 and SHA algorithms have been taken under this study. Three different types of security algorithms used to analyze the performance study. The designs were implemented in Quartus-II software. The results obtained for encryption and decryption procedures show a significant improvement on the performance of the three algorithms. In this paper, 128-bit AES, 64-bit of RC5 and 512-bit of SHA256 encryption and Decryption has been made using Verilog Hardware Description Language and simulated using ModelSim

A Novel System for Confidential Medical Data Storage Using Chaskey Encryption and Blockchain Technology

يعد التخزين الآمن للمعلومات الطبية السرية أمرًا بالغ الأهمية لمنظمات الرعاية الصحية التي تسعى إلى حماية خصوصية المريض والامتثال للمتطلبات التنظيمية. في هذا البحث، نقدم نظامًا جديدًا للتخزين الآمن للبيانات الطبية باستخدام تقنية تشفير Chaskey و blockchain. يستخدم النظام تشفير Chaskey لضمان سرية وسلامة البيانات الطبية، وتكنولوجيا blockchain لتوفير حلول تخزين البيانات الطبية بحيث يكون قابل للتطوير ويتميز باللامركزية. يستخدم النظام أيضًا تقنيات Bflow للتجزئة ومنها التجزئة الرأسية لتعزيز قابلية التوسع وإدارة البيانات المخزنة. بالإضافة إلى ذلك، يستخدم النظام العقود الذكية لفرض سياسات التحكم في الوصول والتدابير الأمنية الأخرى. سنقدم وصف للنظام المقترح بالتفصيل ونقدم تحليلاً لخصائصه الأمنية والأداء. تظهر نتائجنا أن النظام يوفر حلاً آمنًا للغاية وقابل للتطوير لتخزين البيانات الطبية السرية، مع تطبيقات محتملة في مجموعة واسعة من إعدادات الرعاية الصحية.Secure storage of confidential medical information is critical to healthcare organizations seeking to protect patient's privacy and comply with regulatory requirements. This paper presents a new scheme for secure storage of medical data using Chaskey cryptography and blockchain technology. The system uses Chaskey encryption to ensure integrity and confidentiality of medical data, blockchain technology to provide a scalable and decentralized storage solution. The system also uses Bflow segmentation and vertical segmentation technologies to enhance scalability and manage the stored data. In addition, the system uses smart contracts to enforce access control policies and other security measures. The description of the system detailing and provide an analysis of its security and performance characteristics. The resulting images were tested against a number of important metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), bit error rate (BER), Signal-to-Noise Ratio (SNR), Normalization Correlation (NC) and Structural Similarity Index (SSIM). Our results showing that the system provides a highly secure and scalable solution for storing confidential medical data, with potential applications in a wide range of healthcare settings

Implementação fotónica de funções fisicamente não clonáveis

This dissertation aimed to study and develop optical Physically Unclonable Functions, which are physical devices characterized by having random intrinsic variations, thus being eligible towards high security systems due to their unclonability, uniqueness and randomness. With the rapid expansion of technologies such as Internet of Things and the concerns around counterfeited goods, secure and resilient cryptographic systems are in high demand. Moreover the development of digital ecosystems, mobile applications towards transactions now require fast and reliable algorithms to generate secure cryptographic keys. The statistical nature of speckle-based imaging creates an opportunity for these cryptographic key generators to arise. In the scope of this work, three different tokens were implemented as physically unclonable devices: tracing paper, plastic optical fiber and an organic-inorganic hybrid. These objects were subjected to a visible light laser stimulus and produced a speckle pattern which was then used to retrieve the cryptographic key associated to each of the materials. The methodology deployed in this work features the use of a Discrete Cosine Transform to enable a low-cost and semi-compact 128-bit key encryption channel. Furthermore, the authentication protocol required the analysis of multiple responses from different samples, establishing an optimal decision threshold level that maximized the robustness and minimized the fallibility of the system. The attained 128-bit encryption system performed, across all the samples, bellow the error probability detection limit of 10-12, showing its potential as a cryptographic key generator.Nesta dissertação pretende-se estudar e desenvolver Funções Fisicamente Não Clonáveis, dispositivos caracterizados por terem variações aleatórias intrínsecas, sendo, portanto, elegíveis para sistemas de alta segurança devido à sua impossibilidade de clonagem, unicidade e aleatoriedade. Com a rápida expansão de tecnologias como a Internet das Coisas e as preocupações com produtos falsificados, os sistemas criptográficos seguros e resilientes são altamente requisitados. Além disso, o desenvolvimento de ecossistemas digitais e de aplicações móveis para transações comerciais requerem algoritmos rápidos e seguros de geração de chaves criptográficas. A natureza estatística das imagens baseadas no speckle cria uma oportunidade para o aparecimento desses geradores de chaves criptográficas. No contexto deste trabalho, três dispositivos diferentes foram implementados como funções fisicamente não clonáveis, nomeadamente, papel vegetal, fibra ótica de plástico e um híbrido orgânico-inorgânico. Estes objetos foram submetidos a um estímulo de luz coerente na região espectral visível e produziram um padrão de speckle o qual foi utilizado para recuperar a chave criptográfica associada a cada um dos materiais. A metodologia implementada neste trabalho incorpora a Transformada Discreta de Cosseno, o que possibilita a criação de um sistema criptográfico de 128 bits caracterizado por ser semi-compacto e de baixo custo. O protocolo de autenticação exigiu a análise de múltiplas respostas de diferentes Physically Unclonable Functions (PUFs), o que permitiu estabelecer um nível de limite de decisão ótimo de forma a maximizar a robustez e minimizar a probabilidade de erro por parte do sistema. O sistema de encriptação de 128 bits atingiu valores de probabilidade de erro abaixo do limite de deteção, 10-12, para todas as amostras, mostrando o seu potencial como gerador de chaves criptográficas.Mestrado em Engenharia Físic

A Novel Multi-Qubit Quantum Key Distribution Ciphertext-Policy Attribute-Based Encryption Model to Improve Cloud Security for Consumers

With the growing adoption of cloud computing, ensuring data security in cloud environments has become a critical concern for business organizations. Quantum cryptography utilizes the principles of quantum mechanics to guarantee secure communication, as any attempt to eavesdrop will change the quantum states, alerting the parties of the intrusion. This paper proposes a multi-qubit Quantum Key Distribution (QKD) ciphertext-policy attribute-based encryption (CP-ABE) for cloud security. The proposed multi-qubit QKD model for secure cloud data using quantum cryptography involves the use of a quantum key distribution protocol to generate a secure key for encryption and decryption. This protocol involves sending quantum signals through a quantum channel to distribute a secret key between the sender and the receiver. The key is then used for the encryption and decryption of data using the CP-ABE technique. This technique allows the encryption and decryption of data based on attributes rather than an explicit key exchange, making it particularly suitable for cloud environments where data is stored and processed by multiple users with varying levels of access. The positive results from the proposed simulation model suggest the potential of quantum cryptography in securing cloud data

Symmetric encryption relying on chaotic henon system for secure hardware-friendly wireless communication of implantable medical systems

Healthcare remote devices are recognized as a promising technology for treating health related issues. Among them are the wireless Implantable Medical Devices (IMDs): These electronic devices are manufactured to treat, monitor, support or replace defected vital organs while being implanted in the human body. Thus, they play a critical role in healing and even saving lives. Current IMDs research trends concentrate on their medical reliability. However, deploying wireless technology in such applications without considering security measures may offer adversaries an easy way to compromise them. With the aim to secure these devices, we explore a new scheme that creates symmetric encryption keys to encrypt the wireless communication portion. We will rely on chaotic systems to obtain a synchronized Pseudo-Random key. The latter will be generated separately in the system in such a way that avoids a wireless key exchange, thus protecting patients from the key theft. Once the key is defined, a simple encryption system that we propose in this paper will be used. We analyze the performance of this system from a cryptographic point of view to ensure that it offers a better safety and protection for patients. 2018 by the authors.Acknowledgments: This publication was made possible by NPRP grant #8-408-2-172 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.Scopu

Hybrid chaos-based image encryption algorithm using Chebyshev chaotic map with deoxyribonucleic acid sequence and its performance evaluation

The media content shared on the internet has increased tremendously nowadays. The streaming service has major role in contributing to internet traffic all over the world. As the major content shared are in the form of images and rapid increase in computing power a better and complex encryption standard is needed to protect this data from being leaked to unauthorized person. Our proposed system makes use of chaotic maps, deoxyribonucleic acid (DNA) coding and ribonucleic acid (RNA) coding technique to encrypt the image. As videos are nothing but collection of images played at the rate of minimum 30 frames/images per second, this methodology can also be used to encrypt videos. The complexity and dynamic nature of chaotic systems makes decryption of content by unauthorized personal difficult. The hybrid usage of chaotic systems along with DNA and RNA sequencing improves the encryption efficiency of the algorithm and also makes it possible to decrypt the images at the same time without consuming too much of computation power