Blockchain Papers

Fujiang Yuan, Bo Liang, Jie Gao

No abstract is available for this record.

Pankaj Kunekar, Aparna Sawant, Rohini Jadhav, Tejal Harshal Patil · 6 authors

No abstract is available for this record.

Dumitrel Loghin, Shuang Liang, S. Liu, Xiong Liu · 6 authors

Zero-knowledge proofs (ZKP) are becoming a gold standard in scaling blockchains and bringing Web3 to life. At the same time, ZKP for transactions running on the Ethereum Virtual Machine require powerful servers with hundreds of CPU cores. The current zkProver implementation from Polygon is optimized for x86-64 CPUs by vectorizing key operations, such as Merkle tree building with Poseidon hashes over the Goldilocks field, with Advanced Vector Extensions (AVX and AVX512). With these optimizations, a ZKP for a batch of transactions is generated in less than two minutes. With the advent of cloud servers with ARM which are at least 10% cheaper than x86-64 servers and the implementation of ARM Scalable Vector Extension (SVE), we wonder if ARM servers can take over their x86-64 counterparts. Unfortunately, our analysis shows that current ARM CPUs are not a match for their x86-64 competitors. Graviton4 from Amazon Web Services (AWS) and Axion from Google Cloud Platform (GCP) are 1.6X and 1.4X slower compared to the latest AMD EPYC and Intel Xeon servers from AWS with AVX and AVX512, respectively, when building a Merkle tree with over four million leaves. This low performance is due to (1) smaller vector size in these ARM CPUs (128 bits versus 512 bits in AVX512) and (2) lower clock frequency. On the other hand, ARM SVE/SVE2 Instruction Set Architecture (ISA) is at least as powerful as AVX/AVX512 but more flexible. Moreover, we estimate that increasing the vector size to 512 bits will enable higher performance in ARM CPUs compared to their x86-64 counterparts while maintaining their price advantage.

Pratik Bhongale, Abhishek Bhise, Chinmay Pardeshi, Mangesh Vajale · 6 authors

With the increasing number of graduates each year, there is a growing need for verified and easily accessible academic certificates. This paper proposes a solution that addresses both verification and accessibility using blockchain technology, with validation as the top priority. Blockchain is a distributed ledger technology that ensures transparency and immutability across a decentralized network. It stores data in blocks, which are cryptographically linked to one another, forming a secure and tamper-proof chain. Due to its decentralized nature, there is no need for a central authority to manage or store the data. Blockchain adheres to the CIA triad—Confidentiality, Integrity, and Availability—while also supporting Authorization, making it a suitable candidate for secure certificate storage and verification. One major advantage of this system is the reduced burden on students to keep physical copies of their certificates, which can be easily lost or damaged. Moreover, in today’s world, creating counterfeit certificates is relatively easy. Blockchain offers a robust solution to this problem due to its immutable and verifiable structure. In this proposed system, when a certificate is issued, a unique hash is generated for it. Along with this hash, a QR (Quick Response) code is also created, linking directly to the certificate stored on the blockchain. By scanning the QR code, anyone can instantly verify the authenticity of the certificate via a secure website. This method is significantly faster and more reliable than traditional manual verification techniques. Blockchain technology presents an ideal solution for sectors that require low-cost, trustworthy, and efficient verification of important documents. Each block in the blockchain is validated through consensus by multiple participants in the network. Once validated, altering a block would require modifying all previous linked blocks and gaining control over more than 50% of the network's nodes—an extremely difficult and nearly impossible task. This ensures the integrity and security of the stored certificates.

Ningyuan Chen, Chiew Foong Kwong, David Chieng, Pushpendu Kar · 6 authors

The advent of Cellular Vehicle-to-Everything (CV2X) technology has revolutionised intelligent transportation systems (ITS), but poses challenges for secure and efficient data sharing due to its dynamic nature. Traditional centralised systems are inadequate, prompting the need for decentralised solutions like blockchain. However, applying blockchain technologies in C-V2X always faces scalability issues. This paper proposes a scalable C-V2X blockchain network with a hierarchical consensus by integrating a dynamic load-balancing sharding mechanism and zero-knowledge proofs (ZKPs). Our scheme ensures scalability in the C-V2X environment through sharding while utilising ZKPs to enhance cross-shard validation efficiency, reducing its complexity to$O(1)$. Additionally, our approach reduces bandwidth consumption by 90.8% compared to Merkle tree-based solutions and its consensus time is lower than 360 ms.

Willy Susilo, Yumei Li, Fuchun Guo, Zhen Zhao · 6 authors

With the rapid advancement of technology, cloud computing has emerged as the most popular and promising service platform. A cloud user can delegate heavy computation tasks to cloud servers. To ensure the correctness of outsourced processing (e.g., machine learning and data mining), the cloud server must prove that the processing has been executed properly. However, even without malicious intent, it is possible for a cloud server to produce incorrect results. Consequently, clients may outsource the same task to multiple cloud servers and receive various results, aiding them in selecting the best outcome. To protect data privacy, the cloud server must encrypt the results before sending them back to the user. Yet, processing and verifying encrypted results remain significant challenges. To avoid the expensive computational overhead of decrypting ciphertexts from cloud servers one by one, clients prefer to use homomorphic encryption (HE) to obtain the combined output from a single server. However, existing schemes fall short of efficiently verifying the correctness of computations over encrypted data processed by multiple cloud servers, especially in extracting the results computed by each server. In this paper, we introduce a new framework for verifiable outsourced computing systems. In this system, each cloud server's computation result is protected by Paillier encryption, and the edge server can verify these results using zero-knowledge proofs and aggregate the verified ciphertexts. The client can extract the combined plaintext through the Base-3 conversion algorithm to identify each cloud server's results and any non-participating servers. We also prove the security of our scheme and analyze its performance from both theoretical and experimental aspects. Performance analysis shows that our system significantly reduces the client's workload and is userfriendly

Xin Chen, Manoj Prabhakar Paidiparthy, Dilma Da Silva, Liting Hu

While originally designed for the cloud, the benefits of the serverless paradigm are vital in Edge/Fog computing environments. In this paper, we propose Ekko, a novel decentralized edge serverless scheduling system, which enables a large number of serverless applications to run simultaneously at the edge through the Functionas-a-Service (FaaS) model. The key insight is to re-architect the common centralized or hierarchical scheduling systems into a fully decentralized one by using the distributed hash table (DHT) based peer-to-peer (P2P) model, in which many distributed schedulers operate autonomously without any centralized state. In sharp contrast to existing studies, any edge node in our system can act as a scheduler, a function worker, a query forwarder, or a storage node, and flexibly switch between these roles, thereby significantly improving scalability and adaptivity. Ekko introduces three design innovations: a boundary-aware P2P organization, distributed shadow schedulers with a keychain scheduling algorithm, and a distributed locality-aware bucket image store. Our evaluation on 500 Amazon EC2 nodes shows that, compared to the state-of-the-art, Ekko reduces the 90-th percentile tail queue wait time by up to 96.6 %, the scheduling time by up to 38.5 %, and the total deployment time by up to 89.5 %, while efficiently scaling to millions of function invocation requests on thousands of edge nodes.

Ricardo Lopes Almeida, Fabrizio Baiardi, Damiano Di Francesco Maesa, Laura Ricci

Non-Fungible Tokens (NFTs) are promising additions to the blockchain universe. After Ethereum introduced the NFT concept in 2015, it quickly rose in popularity, triggering other public blockchains to support their own versions of these new types of token by extending their smart contract capabilities to enable minting of these new tokens in their ecosystems. Ethereum is the reference for NFT development, establishing the token standards widely used today. The popularity of NFTs in Ethereum created a rich application ecosystem that also revealed limitations in scalability and throughput for this network. An attempt to solve these issues resulted in the creation of Flow, a new NFT-centric blockchain that claims to solve the scalability issues that plagued Ethereum. This paper presents the alternative NFT architecture introduced by Flow and how it compares with Ethereum’s version.

Muhammad Iqbal, Kunal Raj, K.V. Narasimha Reddy, Mohd. Mudaseer Mazharuddin

In today's digital age, student academic data is still largely controlled by educational institutions, which creates major risks and limitations.Centralized systems are vulnerable to data loss due to natural disasters, political instability, or system failures.They also make it difficult for students to access or share their records when participating in exchange programs or pursuing lifelong learning across different platforms.To solve these issues, this paper introduces a decentralized approach where students have full control over their educational data.Using blockchain technology-specifically the Ethereum public network-and Web3 tools, we present DecentralEduChain, a framework that allows students to securely store and manage their academic records through smart contracts.Educational institutions can interact with these contracts via integrated Learning Management Systems (LMS), enabling both the reading and updating of student records without relying on centralized databases.This system not only enhances security and transparency but also empowers students with ownership of their data, making it easier to share academic credentials across institutions.The paper also outlines the practical steps for implementing the system, including smart contract creation and integration with LMS platforms, making it a promising solution for the future of educational data management.

Independent Researcher, USA, Damodar Bihani, Bright Chibunna Ubamadu, Signal Alliance Technology Holding, Nigeria · 6 authors

The integration of blockchain technology into the tokenization of real-world assets (RWAs) is revolutionizing how value is stored, transferred, and accessed globally. This paper proposes a scalable framework for cross-functional collaboration in Web3 product development focused on blockchain-based tokenized RWAs. Tokenization enables physical assets such as real estate, commodities, and intellectual property to be digitized into blockchain-based tokens, allowing for fractional ownership, increased liquidity, and enhanced accessibility. However, the successful development and deployment of such Web3 products require an interdisciplinary approach that combines technological innovation, legal compliance, financial modeling, and user experience design. Our framework addresses these needs by enabling seamless collaboration between developers, legal experts, financial analysts, and UX/UI designers throughout the product lifecycle. We present a modular architecture built on interoperable blockchain protocols such as Ethereum and Polkadot, integrating smart contracts, decentralized identifiers (DIDs), and oracles for real-time asset verification. The framework emphasizes agile product development practices and leverages decentralized autonomous organization (DAO) structures to facilitate decision-making and community governance. Furthermore, we explore how regulatory-compliant token standards, such as ERC-1400, can be incorporated to ensure adherence to jurisdiction-specific asset ownership and transfer laws. This study includes a case analysis of cross-functional product teams building tokenized real estate platforms and carbon credit marketplaces, demonstrating how scalable collaboration can accelerate time-to-market and improve transparency, trust, and user adoption. Our findings highlight that such a collaborative framework significantly reduces technical debt and improves legal and financial risk mitigation. The framework also enhances stakeholder alignment through integrated project management tools and on-chain documentation. By offering a structured, scalable, and adaptable approach, this framework positions Web3 product teams to unlock the full potential of tokenized RWAs in a decentralized economy. It serves as a critical guide for developers, entrepreneurs, regulators, and investors aiming to leverage blockchain technology in building trustworthy, scalable, and cross-functional Web3 applications.

Mihajlo Karadžić, Dušan Mačkić, Sandra Rakočević, Marija Antić

Traditional STB management systems rely on TR-069, which faces challenges in scalability, security, and efficiency when dealing with modern IoT-based deployments. We compare WISE with TR-069 in terms of latency, scalability, and security, incorporating Zero-Knowledge Proof (ZKP) authentication to strengthen access control. Our evaluation demonstrates that WISE significantly reduces management latency and scales more efficiently compared to TR-069 while ensuring a more secure authentication process.

Soosan Naderi Mighan, Jelena Mišić, Vojislav B. Mišić

Ethereum 2.0 uses a Proof-of-Stake-based consensus which aims to minimize the impact of malicious validators by decentralizing the voting protocol. In this paper we investigate the lifecycle of a validator in a consensus protocol similar to Ethereum 2.0 but with simplifications introduced for tractability. In particular, the protocol operates with near-single slot finality and includes the impact of behaviors such as truthful and false voting, abstention from voting, voluntary exit from the validator committee, and return to the committee upon depositing the required stake. Using probabilistic techniques and a Markov chain model, we examine the impact of all those factors on consensus probability. Our results indicate that the probability of truthful voting has a predominant effect on consensus, although the interplay between probabilities of voluntary exit and waiting before returning to the committee also plays an important role. We also investigate the process of fork resolution and model the behavior of the blockchain in the presence of multiple tips, and we show that probability of truthful voting is equally important in this case as higher values accelerate fork resolution.

Md. Shariful Islam, Mohammad Saifur Rahman, M. Sohel Rahman

Log management is crucial for ensuring the security, integrity, and compliance of modern information systems. Traditional log management solutions face challenges in achieving tamper-proofing, scalability, and real-time processing in distributed environments. This paper presents a blockchain-based log management framework that addresses these limitations by leveraging blockchain's decentralized, immutable, and transparent features. The framework integrates a hybrid on-chain and off-chain storage model, combining blockchain's integrity guarantees with the scalability of distributed storage solutions like IPFS. Smart contracts automate log validation and access control, while cryptographic techniques ensure privacy and confidentiality. With a focus on real-time log processing, the framework is designed to handle the high-volume log generation typical in large-scale systems, such as data centers and network infrastructure. Performance evaluations demonstrate the framework's scalability, low latency, and ability to manage millions of log entries while maintaining strong security guarantees. Additionally, the paper discusses challenges like blockchain storage overhead and energy consumption, offering insights for enhancing future systems.

Vijaya Lakshmi Bhogireddy

The implementation of cloud-based distributed ledger technology in global supply chain environments offers transformative solutions for organizations struggling with coordination challenges, transparency deficits, and trust barriers. Despite technological advancements in supply chain management, persistent issues related to information asymmetry and verification difficulties continue to affect networks of manufacturers, suppliers, logistics providers, and retailers operating across geographical boundaries. The proposed architectural framework leverages blockchain's immutable and transparent properties to establish a shared digital infrastructure that enables secure transaction processing while eliminating traditional intermediaries. Through technical architecture development and case application insights, the distributed ledger model addresses fundamental operational inefficiencies in global supply chains. The framework provides implementation strategies for achieving real-time visibility across supply chain tiers, enhanced collaboration among stakeholders, and robust security protocols for fraud prevention. By contributing both theoretical foundations and practical implementation guidelines, this work advances supply chain digitalization with particular relevance for organizations seeking to build more resilient, efficient, and transparent global operations in complex business environments.

Flaviene Scheidt de Cristo, Jorge Augusto Meira, Jean-Philippe Eisenbarth, Radu State

Several distributed systems based on unstructured p2p networks, such as blockchains, rely on underlying protocols to disseminate messages in a fast and reliable way. As the state-of-the-art for message dissemination in blockchains, GossipSub guarantees delivery and resilience against attacks and byzantine faults by scaling pubsub dissemination without exceeding bandwidth or overloading peers. Although GossipSub relies heavily on the way its mesh is constructed, there is little insight into how different configuration parameters impact the overall performance of the system. This study analyzes the relationships between the configuration and the performance of GossipSub from a causal point of view using the concrete case of the XRPL. By employing graphical causal methods to investigate the strength of those connections, this study goes towards the direction of finding the best configuration for GossipSub for different domains, without the need for excessive empirical tests.

Hu Xia, Christian Nii Aflah Cobblah, Qi Xia, Jianbin Gao

Recently, the adoption of IoT (Internet of Things) and Blockchain has become a hot topic, particularly in areas such as education and industry. IoT involves billions of devices connected worldwide and the management of these devices is largely based on centralized systems. Thus, users will have no choice but to trust these systems. Blockchain (BC), a distributed immutable time-stamped ledger that provides decentralization, immutability, and high security can help solve some of the problems inherent in the IoT landscape. However, integrating blockchain and IoT is not trivial; it comes with some difficulties such as scalability problems, high computational costs, and overheads among others. Therefore, this paper presents a scalable and lightweight Blockchain IoT service system using multi-edge servers that reduces computational overhead by 42% and improves transaction throughput to 658 tps, representing a 2.12-3.76× improvement compared to existing approaches. Our architecture uniquely combines blockchain, group signature, and message authentication code to ensure dependable auditing of users’ access records, anonymous authentication of smart home members, and effective verification of the home management system while maintaining a memory footprint of 4.2 MB, 60-70% smaller than conventional blockchain implementations. Additionally, our solution achieves 21-46% lower communication overhead (240 bytes per transaction) and 55-73% reduced latency (850 ms), demonstrating significant improvements across all performance metrics. The distributed nature of our multi-edge server approach eliminates single points of failure and enables a transaction processing capability that scales linearly with network growth, addressing key limitations in current blockchain-IoT integrations.

P. V. G. D. Prasad Reddy

This paper explores the emerging paradigm of Blockchain-as-a-Service (BaaS) and its implementation of distributed ledger technology in cloud environments. We examine the key characteristics, benefits, and challenges of BaaS platforms, analyze different architectural approaches and deployment models, and evaluate performance considerations for blockchain networks in the cloud. Through a comprehensive literature review and analysis of existing BaaS offerings, we provide insights into the current state of the technology and identify promising research directions. Our findings indicate that BaaS has significant potential to accelerate enterprise blockchain adoption by reducing complexity and costs, but also faces hurdles related to security, scalability, and standardization that need to be addressed as the field matures.

Mohammad Asad Hussain

This article presents a comprehensive framework for applying blockchain technology to secure data integration challenges in multi-cloud and hybrid-cloud environments. This article examines how distributed ledger technology creates a trust layer that addresses key vulnerabilities in traditional integration approaches while maintaining performance characteristics suitable for enterprise deployments. This article's architecture leverages permissioned blockchain networks, smart contracts, and cryptographic verification mechanisms to ensure data integrity, enforce governance policies, and provide immutable audit trails across heterogeneous cloud platforms. Our performance evaluation demonstrates viable throughput and latency characteristics compared to traditional integration methods, while offering enhanced security properties. Through case studies in financial services, healthcare, supply chain, and critical infrastructure protection, we illustrate practical implementations and quantifiable benefits. Despite challenges in scalability, energy consumption, legacy system integration, regulatory compliance, and organizational adoption, the architecture shows promising results for high-value data workflows. The research contributes to the emerging intersection of blockchain and multi-cloud computing by providing both theoretical foundations and practical implementation guidance for organizations seeking to enhance security posture across distributed cloud environments.

Chiedu Charles Chiedu, Keke Gai, Yihang Wei, Kai Ding

Blockchain technology, providing security, trust, and transparency for a variety of applications, has become a revolutionary force in decentralized systems. However, scalability continues to be a major obstacle, restricting its use in large-scale and high-throughput settings. To assess the trade-offs between decentralization, security, and computing efficiency, our survey provides a thorough examination of both on-chain and off-chain scalability options, such as sharding, adaptive block sizing, rollups, state channels, and sidechains. Layered protocols (Layer 1 and Layer 2) are also discussed in terms of scalability and interoperability. By combining on-chain, off-chain, and modular blockchain designs, this work investigates new hybrid models, multi-layer architectures, and cross-chain scalability mechanisms in addition to conventional solutions. By identifying critical gaps and challenges in existing approaches, this survey provides a roadmap for future research in scalable, secure, and interoperable blockchain infrastructures, with applications in decentralized finance, IoT, and cross-border transactions.

Parwat Singh Anjana, Srivatsan Ravi, Herlihy, Maurice

This paper presents a comprehensive analysis of historical data across two popular blockchain networks: Ethereum and Solana. Our study focuses on two key aspects: transaction conflicts and the maximum theoretical parallelism within historical blocks. We aim to quantify the degree of transaction parallelism and assess how effectively it can be exploited by systematically examining block-level characteristics, both within individual blocks and across different historical periods. In particular, this study is the first of its kind to leverage historical transactional workloads to evaluate conflict patterns. By offering a structured approach to analyzing these conflicts, our research provides valuable insights and an empirical basis for developing more efficient parallel execution techniques for smart contracts in the Ethereum and Solana. Our empirical analysis reveals that historical Ethereum blocks frequently achieve high independence, with over 50\% independent transactions in more than 50\% of blocks, while, on average, Solana blocks contain longer conflict chains $\sim$58\%, compared to $\sim$18\% in Ethereum, reflecting fundamentally different parallel execution dynamics.

G. Sharmila, K. Neha, M. Kaviya, M. Juhe Sherin · 5 authors

Blockchain technology is a cutting-edge advancement in information technology. Bitcoin, as one of its initial uses, has attracted considerable attention as a cryptocurrency. Alongside Ethereum, which emphasizes blockchain-driven smart contracts, these technologies lie at the heart of modern cryptocurrency innovation. Off-chain transactions offer a scalable solution for blockchain networks, reducing congestion, lowering transaction fees, and improving processing efficiency without compromising decentralization. However, existing off-chain solutions often face security and flexibility challenges, particularly in environments with high latency and unstable connectivity. The proposed system leverages the Hardhat blockchain framework with Ethereum to enable secure peer-to-peer transactions from user wallets, ensuring seamless fund transfers even in offline conditions. Additionally, it integrates blockchain-based email functionality, allowing encrypted messages to be sent securely over a decentralized network, thereby enhancing data privacy and security. To further strengthen data integrity, the system incorporates the Inter Planetary File System (IPFS) for decentralized file storage, reducing reliance on centralized servers and minimizing data loss risks. By combining off-chain transactions, blockchain-based email, and IPFS storage, the system enhances efficiency, security, and reliability, offering a robust decentralized solution for financial transactions and secure communication. The data is distributed across all cryptocurrency users within the network. This ensures that when a user initiates a transaction, data mining processes are conducted.

Jacomina Vonny Litamahuputty, Erwin Gatot Amiruddin, Robbi Rahim, Abdul Rahman · 5 authors

This research examines the risk profiles of XRPUSD and ADAUSD cryptocurrencies through Value at Risk (VaR) analysis with Monte Carlo simulation, providing quantitative risk assessments for both individual assets and a diversified portfolio. Analyzing historical price data from January 2016 to November 2024, the study identifies distinctive risk characteristics between these cryptocurrencies: ADAUSD exhibited marginally higher historical returns (1.44% monthly) compared to XRPUSD (1.42%), but with notably higher volatility (standard deviation of 5.41% versus 4.65%). The Monte Carlo simulation with 1,000 iterations generated VaR estimates at multiple confidence levels, revealing that XRPUSD consistently demonstrated lower downside risk than ADAUSD across all confidence thresholds. At the 99% confidence level, ADAUSD showed a Mean VaR of -10.97%, indicating potential monthly losses exceeding $10.97 million on a hypothetical $100 million investment, while XRPUSD's lower Mean VaR of -9.52% translated to potential losses of approximately $9.52 million. The most striking finding emerged from the portfolio analysis, which revealed dramatic risk reduction through diversification—the equally-weighted portfolio achieved a Mean VaR of merely -2.22% at the 99% confidence level, representing an approximately 80% reduction in potential losses compared to ADAUSD alone. These results demonstrate that cryptocurrency diversification can substantially mitigate extreme downside risk while maintaining exposure to the digital asset class. The significant risk reduction achieved through a simple two-asset allocation validates the application of modern portfolio theory principles to cryptocurrency investments despite their unique characteristics and underscores the critical importance of diversified approaches rather than concentrated positions for risk-conscious cryptocurrency investors. This research contributes to both theoretical understanding of cryptocurrency risk dynamics and practical portfolio construction approaches, providing quantitative evidence for the value of diversification strategies in navigating the substantial volatility inherent in digital asset markets.

Piyush Patil

Your public cloud environment can't run at low latency in today's digital-driven landscape, so it has become a strategic necessity. This comprehensive article discusses actionable strategies for latency optimization in public cloud systems traversing across network, compute, and storage layers. Though slower than form 2, form 3 cannot be recommended for imports because it presents challenges like How to easily make duplex payments with very high values. Reading form 4, you will learn how a decentralized finance system comprises different core components. This delves deep into the root causes of latency, like Geographic distance, resource contention, and inefficient configurations, and proffers sufficient guidance on combatting these through architectural best practices, edge computing, private connectivity, and intelligent resource selection. It also explores how real-time monitoring, predictive benchmarking, and automation tools allow organizations to detect and deal with latency problems before those affect the user experience. New technologies like AI/ML and 5G are targeted as these technologies will completely transform cloud performance optimization through the ability to make proactive decisions and super-fast connectivity. Besides, real-world case studies show successful implementations and cautionary failures and give useful lessons for IT leaders and cloud architects. This guide offers readers the tools and knowledge to build fast, scalable, and reliable cloud applications in both a single—or, indeed, a multi—or, not least, hybrid environment. The aim is easy: their clouds should not only work but work in an optimized way for all those milliseconds of performance and response time.

Ramanan Hariharan

As more organizations move to use the multi-tenant cloud infrastructure, the perimeter-based security model is insufficient for the concept of zero-trust security states. Thatently, curing this complex environment, It has “never trust, always verify”. Completely contradicting the conventional models, Zero Trust continually promotes authentication and validation of every access request (inside or outside the network perimeter). As they try to understand how to protect the isolation of tenants, stop alteration movements, and support identity cross services, the paper investigates the challenges and parts of zero trust taking effect in the multi-tenant cloud. Everything must always be authenticated, no matter the connection status, to ensure the user (only the user) has permission to do all the things they need. Further, it shows that Artificial Intelligence (AI) and Machine Learning (ML) technologies can highly enhance the detection of threats and adaptive access control. It shall see an exhibited case study of a SaaS provider going from providing limited risk mitigation against these risks, such as credential stuffing, API abuse, and insider data leakage, to Zero Trust security. This paper discusses decentralized identity (DID), post-quantum cryptography, blockchain as immutable audit trails, and AI-led autonomous zero trust systems as some of the future emerging trends. As the world reaches the multi-tenant cloud architecture, they are ready to enhance cloud security further.