Pseudonymisation constitutes an essential technical and organisational measure for implementing personal data-protection safeguards. Its main goal is to hide identities of individuals, thus reducing data protection and privacy risks through facilitat...
The rapid advancement of quantum computing poses a severe threat to traditional public key cryptosystems. Lattice-based cryptography has emerged as a core candidate for post-quantum cryptography due to its presumed quantum resistance, robust security...
This article presents a novel framework for encrypting color images to enhance digital data security using deep learning and artificial intelligence techniques. The system employs a two-model neural architecture: the first, a Convolutional Neural Net...
Deepfake technology can produce highly realistic manipulated media which pose as significant cybersecurity threats, including fraud, misinformation, and privacy violations. This research proposes a deepfake prevention approach based on symmetric and...
In the context of digital certification systems, the demand for privacy-preserving authentication is increasingly vital, particularly for critical applications that involve sensitive personal data. Traditional digital signatures provide a robust mean...
Communication is defined as the process of transferring data and exchanging information between interconnected systems. Due to the increasing reliance on digital infrastructures by the military, financial, and healthcare sectors, it is important to e...
Post-quantum cryptography (PQC) provides the essential cryptographic algorithms needed to secure digital networking systems against future adversaries equipped with quantum computing. This paper reviews the PQC research landscape and identifies open...
Post-quantum cryptography (PQC) is, and should be, currently dominating the field of cybersecurity, with many works designing and evaluating the transition of communications security to quantum-safe solutions. As the security level and implementation...
In 1994, P. Shor discovered quantum algorithms that can break both the RSA cryptosystem and the ElGamal cryptosystem. In 2007, D-Wave demonstrated the first quantum computer. These events and further developments have brought a crisis to secret commu...
Indistinguishability is a fundamental principle of cryptographic security, crucial for securing data transmitted between Internet of Things (IoT) devices. This principle ensures that an attacker cannot distinguish between the encrypted data, also kno...
This article presents general methodologies for plaintext attacks on block ciphers using the Tabu Search algorithm. These methods treat the cipher as a black box, with the objective of finding the session key. The primary innovation of our approach i...
We present an algebraic framework for constructing challenge–response authentication protocols based on powers of non-diagonalizable matrices over finite fields. The construction relies on upper triangular Toeplitz matrices with a single Jordan...
Instruction Set Architecture (ISA) extensions, particularly scalar cryptography extensions (Zk), combine the performance advantages of hardware with the adaptability of software, enabling the direct and efficient execution of cryptographic functions...
Lattice-based cryptography stands as one of the most pivotal candidates in post-quantum cryptography. To configure the parameters of lattice-based cryptographic schemes, a thorough comprehension of their concrete security is indispensable. Lattice si...
In the digital era, protecting the integrity and ownership of digital content is increasingly crucial, particularly against unauthorized copying and tampering. Traditional watermarking techniques often struggle to remain robust under various image ma...
Side-channel attacks leveraging microarchitectural components such as caches and translation lookaside buffers (TLBs) pose increasing risks to cryptographic and machine-learning workloads. This paper presents a comparative study of performance and si...
This study presents a novel framework for digital copyright management that integrates AI-enhanced perceptual hashing, blockchain technology, and digital watermarking to address critical challenges in content protection and verification. Traditional...
The integration of operational technology (OT) and information technology (IT) within the Industrial Internet of Things (IIoT) has posed prominent security challenges for resource-constrained devices. Existing authentication architectures often suffe...
Proactive secret sharing (PSS), an extension of secret-sharing schemes, safeguards sensitive data in dynamic distributed networks by periodically refreshing shares to counter adversarial attacks. In our previous work, we constructed a non-interactive...
Recent work at SCN 2020 by Boyen, Izabachène, and Li introduced a lattice-based key-encapsulation mechanism (KEM) that achieves CCA2-security in the standard model without relying on generic transformations. Their proof, however, leaves a few...
As embedded and IoT systems demand secure and compact encryption, developing cryptographic solutions that are both lightweight and efficient remains a major challenge. Many existing AES implementations either lack flexibility or consume excessive har...
Data security is essential for protecting sensitive information that could compromise both the sender and the receiver. Encryption mechanisms, such as the Advanced Encryption Standard (AES), play a key role in this protection. However, encrypting or...
Searchable Encryption (SE) schemes enable data users to securely search over outsourced encrypted data stored in the cloud. To support fine-grained access control, Attribute-Based Encryption with Keyword Search (ABKS) extends SE by associating access...
Reconstructing cryptographic operation sequences through side-channel analysis is essential for recovering private keys, but practical attacks are hindered by unlabeled, noisy, and high-dimensional power traces that challenge accurate classification....
The metaverse represents a transformative integration of virtual and physical worlds, offering unprecedented opportunities for social interaction, commerce, education, healthcare, and entertainment. Establishing trust in these expansive and decentral...
The emergence of quantum computing presents a significant threat to classical cryptographic primitives, particularly those employed in securing internet communications via widely used protocols such as Transport Layer Security (TLS). As conventional...
As quantum computing continues to advance, it threatens the long-term protection of traditional cryptographic methods, especially in biometric authentication systems where it is important to protect sensitive data. To overcome this challenge, we pres...
As electric vehicles (EVs) gain popularity, the existing public charging infrastructure is struggling to keep pace with the rapidly growing demand for the immediate charging needs of EVs. V2V power trading has gradually attracted widespread attention...
Symmetric cryptography is essential for secure communication as it ensures confidentiality by using shared secret keys. This paper proposes a novel substitution-permutation network (SPN) that integrates Latin squares, permutations, and Reed-Muller (R...
The rapid growth of smart healthcare improves medical efficiency through electronic data sharing but introduces security risks like privacy leaks and data tampering. However, existing ciphertext-policy attribute-based encryption faces challenges such...
Secure authentication in smart device ecosystems remains a critical challenge, particularly due to the irrevocability of compromised biometric templates in server-based systems. This paper presents a post-quantum secure multi-factor authentication pr...
Substitution boxes (S-Boxes) are the core components of modern block ciphers, responsible for introducing the essential nonlinearity that protects against attacks like linear and differential cryptanalysis. For an 8-bit S-Box, the highest possible no...
Crystals-Kyber and Classic-McEliece are two prominent post-quantum key encapsulation mechanisms (KEMs) designed to address the challenges posed by quantum computing to classical cryptographic schemes. While the former has been standardized by the Nat...
Digital currencies, led by Bitcoin and USDT, are characterized by decentralization and anonymity, which obscure the identities of traders and create a conducive environment for illicit activities such as drug trafficking, money laundering, cyber frau...
Deep learning-based side-channel analysis is one of the most effective techniques for extracting and classifying sensitive information from a target device. This paper demonstrates the best-performing deep learning model for the target implementation...
Detecting, tracking, and preventing cryptocurrency money laundering within blockchain systems is a major challenge for governments worldwide. This paper presents an anomaly detection model based on blockchain technology and machine learning to identi...
Modern distributed computing systems and applications with strict privacy requirements demand robust data confidentiality. A primary challenge involves enabling parties to exchange data or perform joint computations. These interactions must avoid rev...
As deepfake technology matures, its risks in spreading false information and threatening personal and societal security are escalating. Despite significant accuracy improvements in existing detection models, their inherent opacity limits their practi...
Digital contact-tracing (CT) systems differ in how they process risk and expose data, and the centralized–decentralized dichotomy obscures these choices. We propose a modular six-model classification and evaluate 18 platforms across 12 countrie...
Traceable ring signatures (TRSs) allow a signer to create a signature that maintains anonymity while enabling traceability if needed. It merges the characteristics of traditional ring signatures with the ability to trace signers, making it ideal for...
Chaotic systems, governed by deterministic nonlinear equations yet exhibiting highly complex and unpredictable behaviors, have emerged as valuable tools at the intersection of mathematics, engineering, and information security. This paper presents a...
With the rapid development of big data and artificial intelligence, the problem of image privacy leakage has become increasingly prominent, especially for images containing sensitive information such as faces, which poses a higher security risk. In o...
In several stream cipher designs, Boolean functions (BFs) play a crucial role as non-linear components, either serving as filtering functions or being used within the combining process. The overall strength of stream ciphers mainly depends on certain...
This paper enhances the multikey scenario in the Gentry–Sahai–Waters (GSW) fully homomorphic encryption scheme to increase its real-world applicability. We integrate the advantages of two existing GSW multikey approaches: one enabling dis...
This paper presents a comprehensive register transfer-level (RTL) fault injection study targeting the program counter (PC) of the LEON3 processor, a SPARC V8-compliant core widely used in safety-critical and radiation-prone embedded applications. Usi...
Identity-based cryptography introduced by Shamir (Crypto’84) has seen many advances through the years. In the context of post-quantum identity-based schemes, most of the efficient designs are based on lattices. In this work, we propose an ident...
Cybersecurity represents a critical challenge for data-sharing platforms involving multiple stakeholders, particularly within complex and decentralized systems such as livestock supply chain networks. These systems demand novel approaches, robust sec...
Modern x86 processors incorporate performance-enhancing features such as prefetching mechanisms, cache coherence protocols, and support for large memory pages (e.g., 2 MB huge pages). While these architectural innovations aim to reduce memory access...
Over years of development in secure multi-party computation (MPC), many sophisticated functionalities have been made practical, and multi-dimensional operations occur more and more frequently in MPC protocols, especially in protocols involving datase...
As the demand for expansive back-end systems in online applications continues to grow, novel frameworks are necessitated to address the escalating operational demands, energy consumption, and associated costs. Traditional Client–Server models,...
