D&L: A Natural Language Processing Based Approach for Protecting Sensitive Information from Shoulder Surfing Attacks

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Aldossari, Marran; Zhang, Dongsong

Abstract: Despite the increasing attention and research effort, how to protect sensitive ... Expand

Abstract: Despite the increasing attention and research effort, how to protect sensitive information from shoulder surfing attacks is still under studied. Existing methods for protecting sensitive textual content on users' screens from shoulder surfing attacks have various limitations, including ineffectiveness, insufficient protection of sensitive information, low usability, and high cognitive workload. To address those limitations, this paper proposes, develops, and evaluates a new solution called "detection and labeling" (D&L), which uses NLP techniques to automatically detect and label sensitive information in the textual content. The labeled and hidden sensitive information is then read to users through their headphones upon their clicking a label. Evaluation results demonstrate that D&L improves protection, enhances usability, reduces users' cognitive workload, and allows faster browsing speed compared to the baseline methods. Collapse

Topics: electronic mail laptop computer usability privacy perceived ease of use

Methods: survey parametric test experiment Tukey HSD for post poc analysis ANOVA

YUMA -An AI Planning Agent for composing IT Services from Infrastructure-as-Code Specifications

2023 | HICSS | Citations: 0

Authors: Baer, F.; Leyer, M.

Abstract: Infrastructure-as-code enables cloud architects to automate IT service delivery ... Expand

Abstract: Infrastructure-as-code enables cloud architects to automate IT service delivery by specifying IT services through machine-readable definition files. To allow for a reusability of the infrastructure-as-code specifications, cloud architects specify IT services as compositions of sub-processes. As the AI planning agents for automated IT service composition proposed by prior research fall short in the infrastructure-as-code context, we design a search-based problem-solving agent named YUMA according to a design science research process to fill this research gap. YUMA holds a search tree reflecting the state space and transition model. It includes an algorithm for building the search tree and two algorithms for determining the minimum composition plan. The underlying IT service composition problem is explicated for the infrastructure-as-code context and formulated as a search problem. The results of the demonstration and evaluation show that YUMA fulfills the requirements necessary to solve this problem and digitizes an important task of cloud architects. Collapse

Topics: cloud computing artificial intelligence problem solving programming language source code

Methods: computational algorithm design artifact simulation reinforcement learning design process

Towards a thematic dimensional framework of online fraud: An exploration of fraudulent email attack tactics and intentions

2023 | Decision Support Systems | Citations: 1

Authors: Bera, Debalina; Ogbanufe, Obi; Kim, Dan J.

Abstract: Despite anti-phishing filters, social engineering-based cyber-attacks still resu ... Expand

Abstract: Despite anti-phishing filters, social engineering-based cyber-attacks still result in billions of dollars lost annually, significant personal identity theft, loss of corporate secrets, and espionage. We review the phishing literature on psychological attacks and design tactics employed for deception by attackers. The result reveals the need to continuously identify tactics embedded in fraudulent email content to understand why users still fall prey to phishing attacks. Using the literature as a backdrop, we identify and conceptualize a thematic dimensional framework of fraudulent phishing attacks. This study uses benchmark datasets of fraudulent email to empirically validate the proposed dimensional framework. Specifically, a combination of machine learning-based content analysis and topic modeling found a majority of the discovered topics were labeled against the proposed di­ mensions. Statistical analysis was employed to provide empirical evidence of the thematic dimensions of fraudulent email attacks. This study thus, not only extends the cybersecurity literature by identifying and vali­ dating eight dimensions that enrich our understanding of phishing and attack identification but stimulates cu­ mulative research endeavors to develop yet more comprehensive dimensional frameworks of phishing email attacks. Collapse

Topics: phishing email phishing electronic mail email spam personalization

Methods: term frequency–inverse document frequency natural language processing topic model discriminant analysis literature study

Save Our Souls: Study of Twitter Use during India’s COVID-19 Pandemic

2023 | International Conference on Information Systems | Citations: 0

Authors: Bhattacharyya, Samadrita; Mojumder, Probal

Abstract: Twitter is a commonly used social platform for communication during disasters. ... Expand

Abstract: Twitter is a commonly used social platform for communication during disasters. Tweets by citizens during disasters to share information, seek, and offer help create a body of spontaneous, decentralized, emergent social media communication. Users' exploit Twitter's reach-enabling technological functionalities (hashtags (#), mentions (@), and 'reply-to') to draw attention to the messages. Set in context of the second wave of COVID-19 in India, that saw a surge in citizen-driven tweets seeking healthcare resources from fellow citizens and officials (i.e., SOS tweets), our paper empirically analyses the effects of Twitter's reach-enabling functionalities on online responses (i.e., retweets and replies) to these SOS tweets. We investigate the effects of inclusion of hashtags, mentions, and 'reply to' SOS tweets. We also examine the moderating effect of how the effects of the reach-enabling functionalities change as the social platform gets crowded with SOS tweets. The study offers various academic and practical implications. Collapse

Topics: Twitter pandemic social media Python societal evaluation criteria

Methods: propensity score method machine learning propensity score matching econometric modeling robustness check

EMBRACING CONCEPTUAL MODELLING TO ENABLE THE MEDIATION ROLE OF ENTERPRISE INFORMATION SYSTEMS

2023 | European Conference On Information Systems | Citations: 0

Authors: Chis, Andrei; Ghiran, Ana-Maria

Abstract: Nowadays, digital environments are critical regarding the way enterprise operat ... Expand

Abstract: Nowadays, digital environments are critical regarding the way enterprise operations are conducted and how enterprises are being developed. Traditional information systems used by enterprises need to evolve to accommodate the shift of their role from representation to mediation, role that has been recently conceptualized but not sufficiently researched to identify means that enable its operationalization across domains and purposes. This work identifies what are the key enablers and how should these be applied regardless of the domain of interest. For this, our paper showcases as a proof-of-concept artifact that operationalizes the before mentioned new role of the IS. Our proposal relies on Conceptual Modelling together with all the other related enablers like Digital Twins, metamodelling platforms or model-driven operation. Our example concerns the modern organization that continuously aims to become more innovative and gain competitive advantage therefore, it employs smart devices like drones in different business operations. Collapse

Topics: Python systems development digital twin usability production management

Methods: design science design artifact business process model and notation modeling language metamodel

Tertiary Study on the Use of Artificial Intelligence for Service Delivery: A Bibliometric Analysis of Systematic Literature Reviews

2023 | HICSS | Citations: 0

Authors: Chouikh, A.; Khechine, H.; Gagnon, M.

Abstract: Despite the large number of systematic literature reviews (SLRs) on the use of ... Expand

Abstract: Despite the large number of systematic literature reviews (SLRs) on the use of artificial intelligence (AI) for service delivery, scholars suggest more scientific evidence. However, the direction that these reviews will take depends on the knowledge accumulated in the existing literature. Therefore, the objective of this research is to explore SLRs that have synthesized the use of AI for service delivery. We conducted a tertiary study, which consists of a bibliometric analysis of SLRs. We searched SLRs published over the last ten years in six bibliographic databases. Sixty-six studies meeting the inclusion criteria were processed through a bibliometric analysis in which we combined article metadata with data extracted from the full-text review. The results describe the publication trends of SLRs, their application domains, and the particularities of the private and public sectors. Recommendations for future SLRs on the use of AI for service delivery are proposed. Collapse

Topics: artificial intelligence database system smart city supply chain management decision support

Methods: bibliometric analysis literature sample computational algorithm structured literature research co-citation analysis

What’s the Harm in Waiting? Examining disfluency from system response time in decision tasks with conversational agents

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Duron, Edgar; Ray, Soumya; Hsia, Po Jen

Abstract: Using conversational agents as decision-support tools brings together an intere ... Expand

Abstract: Using conversational agents as decision-support tools brings together an interesting mix of theoretical lenses. On the one hand, user experiences with agents must still conform to characteristics of fluent use as any interactive system. But at the same time, the more human-like nature of back-and-forth discourse, instead of static graphical interfaces, provides users with social cues that they must then contend with. This study demonstrates how users facing disfluency, such as goal-oriented decision-making with large choice sets, can aid themselves with filters as a tool to reach the end of their task. It also demonstrates how a slowed system response (a social cue) will have a negative effect in disfluent situations where users are trying to regain confidence. A slowed system response time discourages users from using filters leaving them making a suboptimal decision. This study shows how decision fluency and social cues have interesting interactions in their effect on users performing tasks with conversational agents. Collapse

Topics: conversational agent decision making application programming interface Facebook Messenger social media

Methods: chatbot experiment regression analysis method factorial experiment descriptive statistic

Theories: social response theory

Criteria Based Evaluation of Cross-Platform Development Frameworks

2023 | HICSS | Citations: 0

Authors: El Tom, Ali; Bogdan, Cristian; Majchrzak, Tim A.; Grønli, Tor-Morten

Abstract: Cross-platform development frameworks continue to play an important role in deve ... Expand

Abstract: Cross-platform development frameworks continue to play an important role in developing of mobile applications. There are a plethora of possible frameworks to choose between, and all claim to give developers an advantage in one or more aspects of the development cycle. To further shed light on this area, our research investigates the selection of mobile cross-platform frameworks by investigating criteria and methods for choosing the best suitable framework for the development context. Our study confirm previous research findings and with that anchor the categorisation for a cross-platform comparison taxonomy. Our research further contribute with a criteria check-list to apply for cross-platform framework selection and showcase its use through a comparative study of a cross-platform application implemented in two frameworks. Although showcasing novelty in the criteria checklist, further research is needed to make the checklist robust and streamlined for public use. Collapse

Topics: mobile application Android iOS JavaScript programming language

Methods: cross sectional research literature study

Near-Infrared Spectroscopy for Bladder Monitoring: A Machine Learning Approach

2023 | ACM Transactions on Management Information Systems | Citations: 0

Authors: Fechner, Pascal; König, Fabian; Kratsch, Wolfgang; Lockl, Jannik; Röglinger, Maximilian

Abstract: Patients living with neurogenic bladder dysfunction can lose the sensation of th ... Expand

Abstract: Patients living with neurogenic bladder dysfunction can lose the sensation of their bladder filling. To avoid over-distension of the urinary bladder and prevent long-term damage to the urinary tract, the gold standard treatment is clean intermittent catheterization at predefined time intervals. However, the emptying schedule does not consider actual bladder volume, meaning that catheterization is performed more often than necessary, which can lead to complications such as urinary tract infections. Time-consuming catheterization also interferes with patients' daily routines and, in the case of an empty bladder, uses human and material resources unnecessarily. To enable individually tailored and volume-responsive bladder management, we design a model for the continuous monitoring of bladder volume. During our design science research process, we evaluate the model's applicability and usefulness through interviews with affected patients, prototyping, and application to a real-world in vivo dataset. The developed prototype predicts bladder volume based on relevant sensor data (i.e., near-infrared spectroscopy and acceleration) and the time elapsed since the previous micturition. Our comparison of several supervised state-of-the-art machine and deep learning models reveals that a long short-term memory network architecture achieves a mean absolute error of 116.7 ml that can improve bladder management for patients. Collapse

Topics: computer hardware open source mobile application user interface programming language

Methods: design artifact qualitative interview design process support vector machine computational algorithm

Design and Implementation of Hierarchical Digital Twins in Industrial Production Environments

2023 | HICSS | Citations: 0

Authors: Finke, C.; Groth, M.; Schumann, M.; Dewitz, P.; Gehrke, J.; Marahrens, T.

Abstract: The increasing requirements for industrial production environments due to custo ... Expand

Abstract: The increasing requirements for industrial production environments due to customer expectations, the implementation of batch size 1, and further automation of production processes are confronting companies with new challenges. In particular, the emergence of cyber-physical systems is influencing and complicating manufacturing processes by capturing an increasing amount of information within production facilities. Digital twins are an interdisciplinary technology that may solve these issues because they serve to monitor, control, and optimize cyber-physical systems by creating a digital representation of realworld objects. Existing concepts for digital twins usually only consider individual machines without their context. This is of limited use for production environments due to a multitude of different machines and associated sensor types. Therefore, we propose a requirements catalog, concept, and prototypical implementation for the hierarchical structuring of digital twins in this paper. Collapse

Topics: digital twin usability web application programming language user interface

Methods: design artifact design science structured literature research simulation literature study