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All Journal Journal of Applied Engineering and Technological Science (JAETS) J-Intech (Journal of Information and Technology)
Yusuf, Roby Firnando
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

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Optimasi Serangan Blind NoSQL Injection Dengan Pendekatan Algoritma Binary Search Yusuf, Roby Firnando; Sijabat, Daniel Rudiaman
J-INTECH (Journal of Information and Technology) Vol 11 No 2 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i2.980

Abstract

NoSQL Injection is one type of attack on the NoSQL Database management system (DBMS). This attack exploits a vulnerability that allows the attacker to send arbitrary requests to the server. If the server responds to an error query or an invalid query, the attacker will manipulate the query. The process of doing Blind NoSQL Injection is complicated. As a result, Pentester often takes a long time to be able to obtain information and penetrate the database server. Based on these problems, this research will provide a solution by developing a tool to automate Blind NoSQL Injection attacks. The results of this research indicate that the development of an exploit tool can enhance performance and efficiency. The binary search algorithm demonstrates a shorter runtime compared to linear search, making it a more effective choice. Additionally, the mitigation approach involving sanitization and validation of input for each key object has proven to be effective in preventing NoSQL Injection attacks.
Optimizing MSME Product Authenticity Verification Using Serverless Event-Driven Microservices on Hybrid Blockchain Architecture Zulkarnain, Adnan; Yusuf, Roby Firnando
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.7167

Abstract

The rapid proliferation of counterfeit products poses critical risks to Micro, Small, and Medium Enterprises (MSMEs), eroding consumer trust and hindering market competitiveness. This study proposes a Serverless Event-Driven Microservices Hybrid Blockchain Architecture to enable real-time, cost-efficient MSME product authentication. The architecture integrates Solana blockchain, leveraging its high throughput and low transaction fees, with AWS Lambda–based serverless microservices and Redis in-memory caching to enhance scalability and responsiveness. The system was empirically evaluated across transaction loads ranging from 1,000 to 100,000, measuring throughput, latency, scalability, and cost efficiency. Experimental results demonstrate that the proposed framework achieved up to 970 transactions per second (TPS) with average latency between 12 and 32 ms, while reducing operational costs by approximately 80 % compared with traditional monolithic systems. Statistical validation confirmed the reliability of performance gains (p < 0.001), and regression analysis (R² = 0.97) indicated near-linear scalability under increasing workloads. These findings substantiate the architectural advantages of combining serverless elasticity, event-driven orchestration, and hybrid blockchain consensus, resulting in a self-scaling, fault-tolerant verification platform suitable for MSME environments. The framework establishes an empirically grounded pathway for practical blockchain adoption in resource-constrained ecosystems and provides a foundation for future extensions involving edge computing, predictive caching, and cross-chain interoperability.
Co-Authors Adnan Zulkarnain Daniel Rudiaman Sijabat