Making Use of Design Principles

Kruse, Leona Chandra; Seidel, Stefan; Purao, Sandeep

doi:10.1007/978-3-319-39294-3_3

Cited by 37 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This methodology is utilized in order to improve execution of system design and its output as an information technology artifact [25]. DSR's general objective is to produce information on how to construct new solutions that successfully address pressing issues [26]. DSR was used because it presents systematic structures and formula used to invent artifacts such as algorithms, interfaces, and system design approaches among others [27].…”

Section: Algorithm Formulationmentioning

confidence: 99%

An Enhanced Data Transmission in Mobile Banking Using LSB-AES Algorithm

Orucho,

Awuor,

Makiya

et al. 2023

AJRCoS

View full text Add to dashboard Cite

The advent of mobile banking applications has transformed the way customers’ access banking services from brick-and-mortar to remote banking. The ubiquitous nature of this innovation has encouraged its adoption. This is because of improved banking services and accessibility to the services on a 24/7 basis using the internet. However, mobile banking applications are susceptible to numerous security threats and vulnerabilities that adversaries take advantage of to siphon money from bank customers. The aim of this study is to design and evaluate least significant bit and advanced encryption standard cryptography (LSB-AES) hybrid algorithm to protect data on transmission in mobile banking. This study employs data science research design, and performance evaluations demonstrated through simulations using MATLAB. Findings of this study can be applied to banks offering mobile banking across the world. This study utilized six color images from University of Southern California’s Signal and Image Processing Institute (USC-SIPI) dataset which were stored in Tagged Image File Format (TIFF). Contemporary steganographic systems utilize a minimum of 2 to 10 images for test simulations. Visual quality analysis of cover images and stego images was done using the following evaluation metrics: Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and histogram analysis. Security of the proposed algorithm was done using entropy analysis. MSE values of cover and stego images should be closer to zero and indicate that cover image is of good quality for embedding data. On the other hand, PSNR values should be more than 40 decibel (dB) which indicates good imperceptibility. Histogram analysis should demonstrate no visible distortions between the cover and stego image for it to be free from statistical attacks. Entropy analysis should yield values close to 8 for the algorithm to be robust. Results from the proposed LSB-AES hybrid algorithm evaluation metrics reveals that Mean Squared Error (MSE) values ranges from 0.0001297 to 0.0005646 while Peak Signal-to-Noise Ratio (PSNR) values ranges from 80.65 to 87.71 and entropy values ranges from 6.295 to 7.762. Histogram analysis reveals that the cover and stego images are almost similar. These results infer that the proposed algorithm has good quality images with good imperceptibility and that the proposed algorithm is reliable, robust and secure for mobile banking. Entropy and histogram analysis results show that the proposed algorithm is resistant to Man-in-the-Middle attacks. This study recommends that legislation evaluates and amends security of mobile banking policies so that the proposed LSB-AES hybrid algorithm can be adopted as a secure solution for mobile banking.

show abstract

Section: Algorithm Formulationmentioning

confidence: 99%

An Enhanced Data Transmission in Mobile Banking Using LSB-AES Algorithm

Orucho,

Awuor,

Makiya

et al. 2023

AJRCoS

View full text Add to dashboard Cite

show abstract

“…In the use case of "Tracking and Surrounding a stationary target with UAVs," these principles empower unmanned vehicles to autonomously execute missions, enhancing service performance. They are likely applicable to various similar use cases, serving as a starting point for guiding the next generation of practitioners who may need to address similar challenges [54].…”

Section: B Practical and Research Contributionsmentioning

confidence: 99%

Design Principles for Distributed Context Modeling of Autonomous Systems

Zager,

Fay

2023

IEEE Open J. Syst. Eng.

View full text Add to dashboard Cite

The use of unmanned aerial vehicles (UAV) has seen a rapid increase due to the advancements in drone technology and the wide range of applications. Their adaptability and versatility make them suitable for a great variety of tasks. To fully realize their potential, an autonomous operation is crucial. For modeling environmental perception (i.e. contextual information) as a key enabler of autonomous operations, guiding principles are needed to support system designers in modeling contextual information for autonomous systems. This paper precisely addresses this concern and seeks to establish a set of design principles for the distributed context modeling of autonomous systems, such as autonomous UAVs. This is achieved through a systematic review of the literature and the identification of Meta-Requirements by leveraging a generic context classification model, which serves as the foundation for deriving the design principles. Subsequently, these design principles undergo evaluation within the context of autonomous UAVs through a use case analysis. The goal of this research is to provide a foundation for the development of autonomous systems that can effectively perceive, interpret, and distribute their context. The design principles can serve as a prescriptive guide for the future development of autonomous systems, ensuring efficient and effective operations.

show abstract

“…Consequently, the ADR project searched for support concerning formulation of design principles and identified several suggestions (meta-design principles) such as: Walls et al. (1992), Van den Akker (1999), Van Aken (2004), and Chandra Kruse et al . (2016).…”

Section: Phase 2 Analysis Of the Empirical Adr Projectmentioning

confidence: 99%

Action design research: integration of method support

Cronholm

Göbel

2022

IJMPB

View full text Add to dashboard Cite

PurposeAction design research (ADR) has become widely accepted as a prominent research method within information systems when managing design-oriented research projects. One purpose of the ADR method is to provide methodological guidance for the building of IT artefacts. However, several scholars have reported a lack of guidance of method support at the micro level. This article aims to complement the macro level of the ADR method by integrating prescriptive method support at the micro level.Design/methodology/approachA qualitative approach including direct content analysis. An empirical ADR project was analysed in order to identify method support that could be integrated into the ADR method.FindingsMethod support at the micro level was identified for all the stages of the ADR method. The method support consists of procedural support, guiding concepts, and various techniques for the documentation of project tasks stated in the ADR method.Research limitations/implicationsThe contribution to theory consists of aspects concerning the integration of macro and micro levels: relationships between normative and prescriptive support, continuous focus shifts, and method completeness.Practical implicationsThe contribution to practice consists of explicit suggestions for method support that could be integrated into the ADR method.Originality/valueThis study extends previously provided knowledge by offering empirical evidence concerning theoretical constructions consisting of explicit relationships between ADR tasks and integrated method support, and elaboration on the integration of macro and micro levels.

show abstract

Making Use of Design Principles

Cited by 37 publications

References 32 publications

An Enhanced Data Transmission in Mobile Banking Using LSB-AES Algorithm

An Enhanced Data Transmission in Mobile Banking Using LSB-AES Algorithm

Design Principles for Distributed Context Modeling of Autonomous Systems

Action design research: integration of method support

Contact Info

Product

Resources

About