Cryptographic Methods Research Articles

Carbon monitoring, reporting and verification (MRV) for cleaner built environment: Developing a solar photovoltaic blockchain tool and applications in Hong Kong's building sector

Photovoltaic (PV) systems offer significant potential for net-zero emission targets, due to their flexibility and high exploitation capacity. However, effective carbon monitoring, reporting, and verification (MRV) methods are crucial for their life cycle. The present study introduces a novel blockchain-based carbon auditing tool aimed at supporting the life cycle assessment of PV systems in Hong Kong's building sector. Consequently, all relevant information throughout the PV system's life cycle is uploaded and securely recorded within the blockchain system. The decentralized network structure, distributed consensus, and cryptographic methods employed by blockchain technology ensure the traceability, immutability, and transparency of the recorded information. Furthermore, this study provides an analysis of the installation potential and life cycle environmental benefits of PV systems in Hong Kong's building sector. Finally, the feasibility of the proposed framework is demonstrated through case studies conducted in Hong Kong. These findings underline the reliability of the proposed blockchain-based tool as a technological foundation for carbon MRV in the Hong Kong building PV sector.

A Deniable Encryption Method for Modulation-Based DNA Storage.

Recent advancements in synthesis and sequencing techniques have made deoxyribonucleic acid (DNA) a promising alternative for next-generation digital storage. As it approaches practical application, ensuring the security of DNA-stored information has become a critical problem. Deniable encryption allows the decryption of different information from the same ciphertext, ensuring that the "plausible" fake information can be provided when users are coerced to reveal the real information. In this paper, we propose a deniable encryption method that uniquely leverages DNA noise channels. Specifically, true and fake messages are encrypted by two similar modulation carriers and subsequently obfuscated by inherent errors. Experiment results demonstrate that our method not only can conceal true information among fake ones indistinguishably, but also allow both the coercive adversary and the legitimate receiver to decrypt the intended information accurately. Further security analysis validates the resistance of our method against various typical attacks. Compared with conventional DNA cryptography methods based on complex biological operations, our method offers superior practicality and reliability, positioning it as an ideal solution for data encryption in future large-scale DNA storage applications.

State-of-the-art analysis of quantum cryptography: applications and future prospects

Quantum computing provides a revolution in computational competences, leveraging the principles of quantum mechanics to process data in fundamentally novel ways. This paper explores the profound implications of quantum computing on cryptography, focusing on the vulnerabilities it introduces to classical encryption methods such as RSA and ECC, and the emergence of quantum-resistant algorithms. We review the core principles of quantum mechanics, including superposition and entanglement, which underpin quantum computing and cryptography. Additionally, we examine quantum encryption algorithms, particularly Quantum Key Distribution (QKD) protocols and post-quantum cryptographic methods, highlighting their potential to secure communications in the quantum era. This analysis emphasizes the urgent need for developing robust quantum-resistant cryptographic solutions to safeguard sensitive information against the imminent threats posed by advancing quantum technologies.

Enhancing healthcare cloud security with intelligent shuffled frog leaping optimized sequential long short-term memory (ISFLO-SLSTM)

Although medical image processing consumes much memory, computing time and specialized platforms are needed. As a result, it is crucial to implement cost-effective solutions to replace outdated ones. Due to these factors, we choose to adopt cloud computing to satisfy our needs for large-scale data processing. Meanwhile, this strategy offers accessibility to services upon request with excellent reliability and versatility. Therefore, employing cloud services rather than internal applications will assist healthcare organizations in outsourcing calculations to a third party, thereby reducing operating costs. However, to avoid malicious data leaks, comprehensive protection of information across unauthorized users and untrustworthy clouds is necessary. Different frameworks are created to allow consumers to save and analyze their information utilizing cloud-based computing. They are developed utilizing distributed systems, cryptosystems, or an amalgam of the two. The primary issue with applying cryptography methods for the enormous analysis of information on the cloud is the computing cost of image processing operations. Preventing unauthorized usage of healthcare records and private health details is the main concern. To secure data processing in a cloud environment by classifying image pixels, we offer a revolutionary intelligent shuffled frog jumping optimized sequential long short-term memory (ISFLO-SLSTM) approach. We added an additional layer, the cloud security module, to lower the danger of future medical data leakage. The effectiveness of the suggested strategy is assessed using medical RGB images taken from the Kaggle database. The findings of this study show how the ISFLO-SLSTM system has the potential to revolutionize healthcare information analysis by protecting patient privacy and security that utilizes the full extent of the latest machine learning methods.

Cryptanalysis of Selected ARX-Based Block Ciphers

The security of digital communication and information systems is mostly dependent on block ciphers. ARX-based ciphers are widely used due to their simplicity and efficiency. This paper provides an exhaustive cryptanalysis of a subset of ARX-based block ciphers, with particular emphasis on SIMON, SPECK, and IDEA. These ciphers need to be exposed for their weaknesses in algebraic attack resistance and cryptographic properties such as key sensitivity. In addition, we assess the resource utilization and speed of these ciphers, both of which are critical for practical implementation. SMT (Satisfiability Modulo Theories) framework is utilized to tackle constraint fulfillment problems based on first-order logic. The following cryptographic steps use SMT solvers: differential cryptanalysis, collision attack, pre-image attack, modular root-finding, and cryptographic primitive verification. We show that SMT solvers can solve block cipher cryptanalysis constraints. In a cryptanalytic attack, we convert block cipher boolean equations to Z3py. The proposed cryptanalysis method evaluates ARX cipher performance. This method recovers the partial secret key using plaintext and ciphertext pairs, partial key bits, and a predetermined number of rounds. To determine whether SIMON, SPECK, or IDEA are appropriate for distinct security requirements, we conducted a comparative analysis of the results and presented them in tabulated form. This research builds a better understanding of ARX-based block ciphers and allows us to develop more robust and efficient cryptographic algorithms to protect sensitive data in modern communication systems.

Insider threat detection in cyber-physical systems: a systematic literature review

The rapid expansion of cyber-physical systems (CPSs) has introduced new security challenges, leading to the emergence of various threats, attacks, and controls aimed at addressing security concerns in this evolving CPS landscape. However, a noticeable gap exists in the literature, particularly in the field of insider threat detection, which lacks a systematic review of CPS security. This study aims to comprehensively review and analyse relevant studies on insider threat detection in CPS. Employing a systematic protocol, we conducted an extensive search for pertinent articles across five prominent online databases: IEEE Xplore, Web of Science, Scopus, ACM, and ScienceDirect. The selection of these indices was based on their comprehensive coverage and the distinct relevance of their contents to our research topic. The results, guided by defined inclusion and exclusion criteria, yielded a final set of 69 included articles. Notably, 39.1 % of these articles focused on insider threat detection using specification-based methods, while 27.5 % addressed cryptography methods. Machine learning methods constituted 13.04 %, and the remaining 14.5 % included review and survey studies. Insider threats pose significant challenges in global cybersecurity, necessitating effective detection systems, methods, and tools for accurate and rapid identification. This study contributes distinct observations on the insider threat detection research topic in CPS, providing valuable insights for researchers and practitioners to expedite improvements and draw significant guidelines based on this comprehensive systematic review.

Dual-band complex-amplitude metasurface empowered high security cryptography with ultra-massive encodable patterns

Abstract The significance of a cryptograph method lies in its ability to provide high fidelity, high security, and large capacity. The emergence of metasurface-empowered cryptography offers a promising alternative due to its unparalleled wavefront modulation capabilities and easy integration with traditional schemes. However, the majority of reported strategies suffer from limited capacity as a result of restricted independent information channels. In this study, we present a novel method of cryptography that utilizes a dual-band complex-amplitude meta-hologram. The method allows for the encoding of 225 different patterns by combining a modified visual secret-sharing scheme (VSS) and a one-time-pad private key. The use of complex-amplitude modulation and the modified VSS enhances the quality and fidelity of the decrypted results. Moreover, the transmission of the private key through a separate mechanism can greatly heighten the security, and different patterns can be generated simply by altering the private key. To demonstrate the feasibility of our approach, we design, fabricate, and characterize a meta-hologram prototype. The measured results are in good agreement with the numerical ones and the design objectives. Our proposed strategy offers high security, ultra-capacity, and high fidelity, making it highly promising for applications in information encryption and anti-counterfeiting.

Exploring the fusion of lattice‐based quantum key distribution for secure Internet of Things communications

AbstractThe integration of lattice‐based cryptography principles with Quantum Key Distribution (QKD) protocols is explored to enhance security in the context of Internet of Things (IoT) ecosystems. With the advent of quantum computing, traditional cryptographic methods are increasingly susceptible to attacks, necessitating the development of quantum‐resistant approaches. By leveraging the inherent resilience of lattice‐based cryptography, a synergistic fusion with QKD is proposed to establish secure and robust communication channels among IoT devices. Through comprehensive Qiskit simulations and theoretical analysis, the feasibility, security guarantees, and performance implications of this novel hybrid approach are thoroughly investigated. The findings not only demonstrate the efficacy of lattice‐based QKD in mitigating quantum threats, but also highlight its potential to fortify IoT communications against emerging security challenges. Moreover, the authors provide valuable insights into the practical implementation considerations and scalability aspects of this fusion approach. This research contributes to advancing the understanding of quantum‐resistant cryptography for IoT applications and paves the way for further exploration and development in this critical domain.

A novel integrated quantum-resistant cryptography for secure scientific data exchange in ad hoc networks

The fast advancement of quantum computing poses a substantial challenge to the privacy and security of critical scientific research data. This is because the standard cryptography methods, which have been proven effective in classical computers, are rendered less secure in the face of quantum computing approaches. Previously, numerous endeavors have been made to safeguard confidential information through the utilization of different standards and quantum cryptographic methods. However, there remains a research void with several challenges and limitations, including excessive computational burden, vulnerability to various attacks, and limited hardware compatibility for implementation. We propose a modern hybrid cryptographical approach to secure sensitive data from various attacks and vulnerabilities to address the existing limitations. The suggested standard integrates traditional cryptographic standards with quantum-resistant standards to boost sensitive scientific data privacy and security and address various classical cyber-attacks and critical quantum attacks. For the context of scientific data privacy and security, our work depicts a hybrid standard structure by performing a systematic exploration of current encipherment model challenges and issues such as the investigation of various susceptibilities of mathematical cryptographic models. In this work, we apply lattice-based coding as the outer layer and Advanced Encryption Standard (AES) as the inner layer to improve security and efficacy. The proposed security theorem launches the operational veracity of lattice-based coding in the face of quantum attacks, while a complete investigation of the proposed algorithm efficacy vitrines the enhanced security and scalability of the anticipated hybrid standard transversely diverse input sensitive data volumes. Furthermore, this proposed work offers the security confidence score of the hybrid model by the amalgamation of AES and lattice-based cryptography (LBC), hence guaranteeing strength next to both quantum and traditional computing weaknesses. The investigational results prove the improved efficiency of the proposed hybrid model in contrast to traditional and past quantum-resistant models.

Cryptographic methods for secured communication in SDN‐based VANETs: A performance analysis

AbstractVehicular ad‐hoc networks (VANETs) support features like comfort, safety, and infotainment, enhancing traffic efficiency. However, traditional VANETs struggle with dynamic and large‐scale networks due to fixed policies and complex architectures, such as constantly changing vehicle positions. Software‐defined networks (SDN) can address these challenges by offering centralized, logical control, making VANETs more flexible and programmable. While SDNs improve VANET efficiency and add security benefits, they also introduce new security risks by incorporating novel technologies and architectural elements. Since VANET services rely heavily on data communication, compromised data (e.g., modified, falsified) could significantly impact driver and vehicle safety, making secure communication vital. Security threats specific to SDNs, like vulnerabilities in centralized control or flow‐based threats exploiting dynamic routing, necessitate robust cryptographic solutions to secure vehicle communications and data exchange. Various cryptographic algorithms, differing in performance, speed, memory requirements, and key sizes, pose challenges in selecting the optimal one for SDN‐based VANETs. This study evaluated seven cryptographic algorithms, including Blowfish, data encryption standard, triple data encryption standard, Rivest–Shamir–Adleman, advanced encryption standard (AES), advanced encryption standard with elliptic curve cryptography (AES‐ECC), and advanced encryption standard with elliptic curve Diffie‐Hellman (AES‐ECDH), in a simulated SDN‐based VANET. The findings show AES‐ECDH as the most effective overall, though the best choice depends on specific deployment scenarios and application needs.

Heterogeneous and plaintext checkable signcryption for integrating IoT in healthcare system

Preserving the confidentiality and integrity of data transmission is paramount in the Internet of Things (IoT)-based healthcare systems. Current encryption techniques that allow plaintext checks primarily serve a specific cryptosystem, lacking the adaptability to work with a diverse system incorporating various cryptographic methods. To address this, we present a unique online/offline heterogeneous signcryption scheme with plaintext checkable encryption (HOOSC-PCE). This approach enables the transition of signcrypted messages from an identity-based cryptosystem (IBC) to a public key infrastructure (PKI) system, improving information interoperability. A key aspect of our scheme is its capacity to allow cloud servers to perform plaintext queries, facilitating efficient data searches using plaintext keywords over encrypted data. Furthermore, the signcryption process is divided into online and offline phases. The online phase handles tasks that require fewer resources, while the offline phase carries out more resource-intensive preparatory tasks. We rigorously tested the HOOSC-PCE scheme’s security by proving it secure under the Random Oracle Model (ROM). Meanwhile, compared to similar work, it effectively reduces computation costs by 46.39%, 19.45%, 18.73%, and 13.25% across offline encryption, online encryption, decryption, and search algorithms. The results indicate that the HOOSC-PCE is secure and efficient, confirming its feasibility for IoT-based healthcare systems.

Three Rounds Cryptography to Protect Secret Message

A simple three rounds method of message cryptography will be introduced, the message will be encrypted-decrypted by apply XORing operation of the message with the secret KEY1 in the first round, in the second round the message will be shuffled using the secret key KEY2, while in the third round the message binary matrix will be rotated left to a number of selected digits. The introduced method will be very secure it will use a secret kept digital color image as an image_key, this image will be used to generate KEY1 and KEY2. KEY1 will be extracted from the image from a selected position, while KEY2 will be an indices key obtained by sorting a number of bytes extracted from the image from another position determined by the user. In addition to the image_key the method will use the values of POS1, POS2, and NORLD to determine the starting position of key1, the starting position of key2 and the number of rotate left digits. The produced decrypted message will be very sensitive to the selected image_key, POS1, POS2 and NORTD. The encryption function will be simplified and it will be implemented using three simple tasks: XORing, shuffling and rotating left, while the decryption function will be implemented by applying rotate left, shuffling back and XORing operations. The proposed method will be implemented and tested using various messages, the results will be studied and analyzed to prove the achievements provided by the method in: quality, speed, security and sensitivity.

Quantum-Inspired Cryptography Protocols for Enhancing Security in Cloud Computing Infrastructures

As we know, cloud computing plays a vital role in our lives. It also plays a pivotal role in modern business and information technology landscapes. But with this, there is a rise in concerns regarding the security and privacy of all data which is stored in the cloud. To tackle these concerns some effective and traditional cryptographic methods are present but they face potential vulnerabilities due to advent of quantum computing. It also threatens the basis of widely used encryption algorithms and models. This research focuses on the usage of quantum mechanics inspired cryptographic protocols, which will help to strengthen the security of cloud computing models and infrastructures. The research begins with a detailed overview of the current situation and state of security of cloud computing. There is identification of all challenges and vulnerabilities faced due to current, classical and traditional cryptographic techniques and algorithms. As we know that there is a very close arrival of quantum computing, we are surrounded by mighty and latent threats because of quantum computing algorithms that can easily overcome the widely accepted and used encryption standards and models. So, there is a dire need to develop and implement some alternative cryptographic strategies and measures. To overcome these challenges, this research proposes the creation and usage of quantum-inspired cryptographic protocols which are designed to resist attacks from both traditional and quantum vulnerabilities. These protocols are inspired from quantum mechanics, like superposition and entanglement. These protocols will help to design and create cryptographic systems and models that offer enhanced security. The research focuses on the theoretical foundations of these quantum mechanics inspired protocols and assesses their practical feasibility within cloud computing infrastructures and environment.This research contains information regarding the challenges associated with integration and deployment of quantum inspired cryptographic solutions in cloud computing. It evaluates the scalability, efficiency, performance and computational overhead of these quantum inspired protocols to ensure their practical feasibility and capability in existing cloud computing environment and infrastructures. This research also includes comparison performed with quantum cryptographic protocols and traditional cryptographic methods. The results aim to provide evidence that quantum cryptographic techniques are better, feasible and secure options to protect data over cloud. In Conclusion, the research aims to provide an insight that development and usage of advanced security measures can withstand and handle evolving threats, ensuring the continued security and protection of data in cloud computing environment by providing theoretical insights, analysis and evolution.

Search for high-probability differential characteristics of the lightweight block cipher algorithm present with non-standard substitution blocks

The development of the Internet of Things and the associated devices has made it necessary to establish and implement encryption standards to ensure secure data transmission. These standards need to be comply with fundamental encryption principles and cater to devices with limited computational resources. As a result, lightweight cryptography has emerged as a distinct field within cryptography. The PRESENT block cipher algorithm is a lightweight encryption algorithm designed for deployment in resource-constrained devices. It requires comprehensive and ongoing vulnerability analysis against both known and novel cryptanalysis methods. This work extensively investigates the PRESENT block cipher algorithm, examining its components, operational principles, and key scheduling algorithm. This study analyses existing research on the algorithm with regards to contemporary cryptanalysis methods. Differential cryptanalysis was selected as the method of choice. The requirements for constructing S-boxes, as set forth by the algorithm developers, are reviewed. Two alternative S-boxes are formulated and presented based on these requirements. The paper presents a methodology for identifying high-probability differential characteristics for the PRESENT algorithm, using a substitute substitution block that differs from the one proposed by the developers. The research reports on the encryption algorithm PRESENT, using alternative substitution blocks, and evaluates its resistance to differential cryptanalysis. The text presents the results of applying the methodology for searching differential characteristics to the substituted blocks in the PRESENT algorithm. A comparative analysis is made between the results obtained through the differential characteristic search methodology for the PRESENT algorithm with alternative substitution blocks and the known results for this algorithm.

Cyber Protection of Financial Data in Accounting: Implementation and Use of Cryptographic Techniques

"The primary objective of this study is to explore the effectiveness of cryptographic techniques in enhancing the cyber protection of financial data within accounting practices. As the digital landscape evolves, the security of financial information becomes increasingly critical. This research aims to assess the effectiveness of cryptographic methods and understand their impact on various facets of accounting systems. The study employs a two-pronged analytical approach: matrix analysis and Structural Equation Modeling (SEM). Through matrix analysis, focusing on substitution cyphers like the Hill cypher, the research provides a technical evaluation of encryption techniques. This analysis highlights the effectiveness of cryptographic methods in ensuring data confidentiality and integrity. The SEM analysis further reveals significant findings: Cryptographic techniques notably enhance perceived security (with a path coefficient β of 0.2 and a p-value of 0.03) and regulatory compliance (β = 0.5, p < 0.01). A positive impact on user satisfaction (β = 0.25, p = 0.04) is observed, albeit with challenges in implementation, particularly in training and technological infrastructure. The study concludes that cryptographic techniques are essential in safeguarding financial data in accounting. However, their effectiveness centres on strategic implementation, which includes considerations for user-centric design and adherence to evolving regulatory standards. The research highlights the importance of a balanced approach to cybersecurity, integrating advanced cryptographic methods with practical considerations for their implementation. This study contributes both qualitative insights and quantitative evidence, offering valuable guidance for practitioners, IT security experts, and policymakers in developing robust cyber protection strategies in the accounting sector."

Quantum Cryptography: Mathematical Foundations and Practical Applications for Secure Communication Protocols

Quantum cryptography is a new and exciting area that uses quantum physics to protect communication lines from being spied on or intercepted. Fundamental ideas in this field, like the uncertainty principle and the fact of quantum entanglement, are used to achieve levels of security that have never been seen before. Our in-depth study, "Quantum Cryptography: Mathematical Foundations and Practical Applications for Secure Communication Protocols," looks at both the math behind quantum cryptographic protocols and how they are used in the real world. Our study goes into great detail about the theories behind quantum cryptography. It explains ideas like quantum key distribution (QKD), quantum teleportation, and quantum secure direct communication (QSDC). One of the main ideas behind quantum cryptography is the idea of qubits, which are like regular bits but in quantum mechanics. They can be in more than one state at the same time because of superposition. Quantum cryptographic methods use this property to make sure communication is safe by putting data in quantum states and taking advantage of the fact that quantum measures are inherently unpredictable. The study we're doing looks at how to use quantum cryptography in typical everyday situations. We look at the problems that come up when you try to build infrastructure for quantum transmission, such as noise, decoherence, and scale. We make a plan for making strong and trustworthy quantum cryptographic systems by giving details about how experiments are set up and how technology is improving. Our study looks into how quantum cryptography could be used for things other than just keeping communications safe. We look into what it means for new technologies like quantum networks, quantum computing, and safe multi-party processing. We hope that by explaining the bigger effects of quantum cryptography, we can encourage more study and new ideas in this ground-breaking area.

Cryptographic Protocols Resilient to Quantum Attacks: Advancements in Post-Quantum Cryptography

New developments in quantum computing have made people worry that current security methods could be broken by quantum attacks. Some mathematical problems are hard to solve, which is how traditional encryption methods like RSA and ECC keep their secrets safe. However, quantum computers might be able to solve these issues a lot faster than regular computers, which makes these methods less safe. Because of this threat, experts have been working hard to make post-quantum cryptography methods that quantum computers can't break. These methods are made to stand up to the strength of quantum algorithms and protect the privacy, integrity, and validity of private data even when quantum attackers are present. Lattice-based cryptography is a potential method for post-quantum encryption. Its security comes from the difficulty of certain lattice problems. Lattice-based methods are thought to be safe from threats from both traditional and quantum computers because they offer good security promises. Lattice-based cryptography is a flexible way to build different types of cryptographic primitives, like encryption, digital signatures, and key sharing protocols. The study of code-based cryptography, which is based on how hard it is to decode some error-correcting codes, is another important advance. Code-based methods have been around for a long time and have been studied a lot, which makes them a good choice for security after quantum computing. Code-based cryptography is also easy to use and has strong security features, which makes it a good choice for real-world situations. Multivariate polynomial cryptography is another possible choice for cryptography after quantum computing. The safety of this method depends on how hard it is to solve systems of multivariate polynomial problems. Multivariate polynomial methods might not be as secure as lattice-based or code-based cryptography, but they are interesting options for some situations and places with limited resources.

IMPLEMENTATION OF AES AND SHA-3 CRYPTOGRAPHY ALGORITHMS IN SECURING USER SENSITIVE DATA ON THE ARTESIAN WATER BILL PAYMENT TRANSACTION WEBSITE

Transacting online is something that is familiar to almost everyone in the digital era. The presence of digital transactions brings convenience in carrying out trading activities, but the use of the internet in creating easy transactions with several challenges in the form of hacking. In order to realize secure transactions, the level of protection on digital transaction service provider sites must be made as strong as possible to prevent digital attacks. Therefore, a protection system for user payment data on one of the transaction websites was created by applying the AES and SHA-3 cryptographic algorithm methods. The AES algorithm method was chosen because its implementation is not complicated but has proven its security, while SHA-3 is used to create unique keys from user passwords with the latest hash technology, so that the data encryption and decryption process becomes more protected because it uses the secret key of each user but not directly. The application of cryptographic algorithms will provide additional protection for the security of nominal user transaction data from cyber attacks so that the data. This research will produce a cryptography program flow with the Python programming language and examples of encryption and hash process results during program execution.

Methods and Challenges of Cryptography-Based Privacy-Protection Algorithms for Vehicular Networks

With the rapid development of wireless communication technology, positioning technology, and modern smart devices, Internet of Vehicles (IoVs) smart vehicles have brought great convenience to human production and life. Meanwhile, privacy and security issues are becoming extremely serious, with serious consequences if sensitive data such as vehicle location and trip patterns are leaked. This paper focuses on the demands for vehicular network security, especially privacy protection and existing privacy-protection techniques, including common cryptography methods and cryptography-based advanced technologies. At the same time, this paper also analyzes the advantages and challenges of these technologies in protecting privacy and network security in the Internet of Vehicles, such as the challenges of computational resource requirements and security efficiency in the implementation process, as well as the complexity of realizing effective privacy protection in the interactions among different entities. Finally, this paper envisions the development of privacy-preserving application scenarios and the prospects for crypotography-based privacy-preserving technologies.

Enhancing Efficiency and Security in Unbalanced PSI-CA Protocols through Cloud Computing and Homomorphic Encryption in Mobile Networks

Private Set Intersection Cardinality (PSI-CA) is a cryptographic method in secure multi-party computation that allows entities to identify the cardinality of the intersection without revealing their private data. Traditional approaches assume similar-sized datasets and equal computational power, overlooking practical imbalances. In real-world applications, dataset sizes and computational capacities often vary, particularly in Internet of Things and mobile scenarios where device limitations restrict computational types. Traditional PSI-CA protocols are inefficient here, as computational and communication complexities correlate with the size of larger datasets. Thus, adapting PSI-CA protocols to these imbalances is crucial. This paper explores unbalanced scenarios where one party (the receiver) has a relatively small dataset and limited computational power, while the other party (the sender) has a large amount of data and strong computational capabilities.This paper, based on the concept of commutative encryption, introduces Cuckoo filter, cloud computing technology, and homomorphic encryption, among other technologies, to construct three novel solutions for unbalanced Private Set Intersection Cardinality (PSI-CA): an unbalanced PSI-CA protocol based on Cuckoo filter, an unbalanced PSI-CA protocol based on single-cloud assistance, and an unbalanced PSI-CA protocol based on dual-cloud assistance. Depending on performance and security requirements, different protocols can be employed for various applications.