Design of Waste Management System Using QR Code for Effective Management in Wastebank

Widaningsih, Sri; Suheri, Agus

doi:10.1088/1742-6596/1764/1/012066

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…QR codes have been used in different contexts in previous studies. For example, QR codes have been used for tracking domestic waste segregation [30] or wastebank sorting [31].…”

Section: Literature Surveymentioning

confidence: 99%

Holistic Trash Collection System Integrating Human Collaboration with Technology

Saher,

Saleh,

Anjum

2023

Applied Sciences

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Effective waste management is of paramount importance as it contributes significantly to environmental preservation, mitigates health hazards, and aids in the preservation of precious resources. Conversely, mishandling waste not only presents severe environmental risks but can also disrupt the balance of ecosystems and pose threats to biodiversity. The emission of carbon dioxide, methane, and greenhouse gases (GHGs) can constitute a significant factor in the progression of global warming and climate change, consequently giving rise to atmospheric pollution. This pollution, in turn, has the potential to exacerbate respiratory ailments, elevate the likelihood of cardiovascular disorders, and negatively impact overall public health. Hence, efficient management of trash is extremely crucial in any society. It requires integrating technology and innovative solutions, which can help eradicate this global issue. The internet of things (IoT) is a revolutionary communication paradigm with significant contributions to remote monitoring and control. IoT-based trash management aids remote garbage level monitoring but entails drawbacks like high installation and maintenance costs, increased electronic waste production (53 million metric tons in 2013), and substantial energy consumption for always-vigilant IoT devices. Our research endeavors to formulate a comprehensive model for an efficient and cost-effective waste collection system. It emphasizes the need for global commitment by policymakers, stakeholders, and civil society, working together to achieve a common goal. In order to mitigate the depletion of manpower, fuel resources, and time, our proposed method leverages quick response (QR) codes to enable the remote monitoring of waste bin capacity across diverse city locations. We propose to minimize the deployment of IoT devices, utilizing them only when absolutely necessary and thereby allocating their use exclusively to central garbage collection facilities. Our solution places the onus of monitoring garbage levels at the community level firmly on the shoulders of civilians, demonstrating that a critical aspect of any technology is its ability to interact and collaborate with humans. Within our framework, citizens will employ our proposed mobile application to scan QR codes affixed to waste bins, select the relevant garbage level, and transmit this data to the waste collection teams’ database. Subsequently, these teams will plan for optimized garbage collection procedures, considering parameters such as garbage volume and the most efficient collection routes aimed at minimizing both time and fuel consumption.

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“…QR codes have been used in different contexts in previous studies. For example, QR codes have been used for tracking domestic waste segregation [30] or wastebank sorting [31].…”

Section: Literature Surveymentioning

confidence: 99%

Holistic Trash Collection System Integrating Human Collaboration with Technology

Saher,

Saleh,

Anjum

2023

Applied Sciences

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“…QR codes are widely used in security-related operations such as authentication and identification. The QR code is rapidly being adopted in mobile payments because of its speed in terms of decoding, convenience, ease of use, security and privacy, cost-effectiveness, traceability, ample data storage, robustness against damages/error correction capability, flexibility, easy readability, the fact that it is easy to generate and manage, its user-friendly nature, its versatility, and its accuracy [38][39][40][41][42][43][44][45]. Likewise, they provide data confidentiality and integrity; ensure non-repudiation; and prevent identity theft, impersonation attacks, shoulder-surfing attacks, and brute-force attacks [46].…”

Section: Quick Response (Qr) Codementioning

confidence: 99%

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

2021

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With the expansion of smartphone and financial technologies (FinTech), mobile money emerged to improve financial inclusion in many developing nations. The majority of the mobile money schemes used in these nations implement two-factor authentication (2FA) as the only means of verifying mobile money users. These 2FA schemes are vulnerable to numerous security attacks because they only use a personal identification number (PIN) and subscriber identity module (SIM). This study aims to develop a secure and efficient multi-factor authentication algorithm for mobile money applications. It uses a novel approach combining PIN, a one-time password (OTP), and a biometric fingerprint to enforce extra security during mobile money authentication. It also uses a biometric fingerprint and quick response (QR) code to confirm mobile money withdrawal. The security of the PIN and OTP is enforced by using secure hashing algorithm-256 (SHA-256), a biometric fingerprint by Fast IDentity Online (FIDO) that uses a standard public key cryptography technique (RSA), and Fernet encryption to secure a QR code and the records in the databases. The evolutionary prototyping model was adopted when developing the native mobile money application prototypes to prove that the algorithm is feasible and provides a higher degree of security. The developed applications were tested, and a detailed security analysis was conducted. The results show that the proposed algorithm is secure, efficient, and highly effective against the various threat models. It also offers secure and efficient authentication and ensures data confidentiality, integrity, non-repudiation, user anonymity, and privacy. The performance analysis indicates that it achieves better overall performance compared with the existing mobile money systems.

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“…They are adopted in various fields because of their speed of encoding/decoding, flexibility, convenience, easy readability, ease of use, ample data storage, error correction capability, userfriendliness, versatility, cost-effectiveness, and accuracy Din et al, 2021;Onyinyechi et al, 2021;Dey et al, 2021;Sun et al, 2021;Suebtimrat & Vonguai, 2021;Kosim & Legowo, 2021;Widaningsih & Suheri, 2021;Chaveesuk & Piyawat, 2021;Tao et al, 2021).…”

Section: Quick Response (Qr) Codementioning

confidence: 99%

Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

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With the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications.

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Design of Waste Management System Using QR Code for Effective Management in Wastebank

Cited by 6 publications

References 1 publication

Holistic Trash Collection System Integrating Human Collaboration with Technology

Holistic Trash Collection System Integrating Human Collaboration with Technology

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

Development of a secure multi-factor authentication algorithm for mobile money applications

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