Personal and Ubiquitous Computing最新文献

{"title":"DDoS attack traffic classification in SDN using deep learning","authors":"Nisha Ahuja, Debajyoti Mukhopadhyay, Gaurav Singal","doi":"10.1007/s00779-023-01785-2","DOIUrl":"https://doi.org/10.1007/s00779-023-01785-2","url":null,"abstract":"<p>Software-defined networking will be a critical component of the networking domain as it transitions from a standard networking design to an automation network. To meet the needs of the current scenario, this architecture redesign becomes mandatory. Besides, machine learning (ML) and deep learning (DL) techniques provide a significant solution in network attack detection, traffic classification, etc. The DDoS attack is still wreaking havoc. Previous work for DDoS attack detection in SDN has not yielded significant results, so the author has used the most recent deep learning technique to detect the attacks. In this paper, we aim to classify the network traffic into normal and malicious classes based on features in the available dataset by using various deep learning techniques. TCP, UDP, and ICMP traffic are considered normal; however, malicious traffic includes TCP Syn Attack, UDP Flood, and ICMP Flood, all of which are DDoS attack traffic. The major contribution of this paper is the identification of novel features for DDoS attack detection. Novel features are logged into the CSV file to create the dataset, and machine learning algorithms are trained on the created SDN dataset. Various work which has already been done for DDoS attack detection either used a non-SDN dataset or the research data is not made public. A novel hybrid machine learning model is utilized to perform the classification. The dataset used by the ML/DL algorithms is a collection of public datasets on DDoS attacks as well as an experimental DDoS dataset generated by us and publicly available on the Mendeley Data repository. A Python application performs the classification of traffic into one of the classes. From the various classifiers used, the accuracy score of 99.75% is achieved with Stacked Auto-Encoder Multi-layer Perceptron (SAE-MLP). To measure the effectiveness of the SDN-DDoS dataset, the other publicly available datasets are also evaluated against the same deep learning algorithms, and traffic classification accuracy is found to be significantly higher with the SDN-DDoS dataset. The attack detection time of 216.39 s also serve as experimental evidence.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139552213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of stability and object tracking of traffic video image for smart cities","authors":"Yongfeng Xing, Zhong Luo, Zhong Xian","doi":"10.1007/s00779-024-01786-9","DOIUrl":"https://doi.org/10.1007/s00779-024-01786-9","url":null,"abstract":"","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"15 12","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139437301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effective remote automated vehicle operation: a mixed reality contextual comparison study","authors":"","doi":"10.1007/s00779-023-01782-5","DOIUrl":"https://doi.org/10.1007/s00779-023-01782-5","url":null,"abstract":"<h3>Abstract</h3> <p>With the increasing pervasion of automated vehicle fleets, there is an equally increased need to provide effective remote operation capabilities for interventions in cases of vehicle malfunction, rough road conditions or unnavigable areas. This shift in the human operator role to that of an observer and occasional teleoperator requires appropriate interaction interfaces. In this paper, we present an in-context analysis of previously proposed teleoperation information requirements realized as concrete user interfaces in a user study (N=16). Participants completed multiple tasks in a mixed approach, controlling an actual miniature vehicle via an XR enabled headset which showed two interface manifestations (minimum and maximum requirements realized). From the results, we derive separate sets of fundamental UI elements per requirement for effective teleoperation in two phases of interaction: orientation and navigation. We conclude with further suggestions to extend teleoperation UIs regarding contexts and tasks beyond the navigation use case used in the study.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"9 19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138681107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design friction in autonomous drive—exploring transitions between autonomous and manual drive in non-urgent situations","authors":"Jessica Bley, Alexander Eriksson, Lisa Johansson, Mikael Wiberg","doi":"10.1007/s00779-023-01780-7","DOIUrl":"https://doi.org/10.1007/s00779-023-01780-7","url":null,"abstract":"<p>In the ongoing turn to automation, the growing trend towards the design of conditionally and highly automated vehicles (C/HAV) is evident. In a CAV, the driver no longer needs to partake in the driving. However, the vehicle might send a takeover request (TOR) when the CAV’s system reaches its operational boundaries, i.e. a call for a transition from autonomous to manual drive. Previous research on TORs has focused on the context of urgent situations, e.g. hazards and unpredictable events. Furthermore, it has been noted that drivers’ situation awareness (SA) deteriorates after being in autonomous drive. However, less is known about TORs in non-urgent situations. Motivated by this need, the study explores how design friction can serve as a guiding concept for transferring control between autonomous and manual drive in non-urgent situations to increase situation awareness. Design friction is defined as elements of interactions that steer attention and guides the driver to take informed decisions. The work resulted in prototypes that leveraged design friction as part of a takeover sequence. The proposed design was empirically evaluated in a fixed-base medium-fidelity driving simulator. The results indicated that the level of friction might have been too extensive, as some annoyance was expressed. However, participants claimed to feel calm and aware of their surroundings at the moment of regaining control of the vehicle. This suggests that design friction is a promising tool for guiding concept design to enhance transitions from autonomous to manual drive.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"191 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138515193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing engagement and well-being of operators working with automation by integrating task models and gameful design","authors":"Célia Martinie, Philippe Palanque, Eric Barboni","doi":"10.1007/s00779-023-01783-4","DOIUrl":"https://doi.org/10.1007/s00779-023-01783-4","url":null,"abstract":"<p>Engagement and well-being are complex phenomena that deeply depend on the individuals themselves and include subjective perception of the past, present, and future experiences. Connecting with work adds a concrete dimension to engagement and well-being that makes it possible to consider designing for and assessing them in a given work context. In the gaming domain, gameful design is known as an efficient mean to increase engagement and well-being. This paper presents an approach to address both engagement and well-being at work and builds on the evolution of the field of HCI over the years to identify means of addressing engagement and well-being. We describe the concepts related to usability and how they evolved towards user experience to encompass more complex (related to self) elements. We show how previous work in the field has connected these major properties (using tasks descriptions) and how it might be possible to extend further embracing human needs and motivation theory. We propose to use gameful design and automation design (via RCRAFT framework) as two contributing disciplines to identify design options for increasing engagement and well-being of users/operators while performing their activities. Application of the framework is given by means of a concrete application building on top of the original Mackworth clock.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"196 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138515192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enlightening mode awareness","authors":"Alexander G. Mirnig, Magdalena Gärtner , Vivien Wallner, Cansu Demir, Yasemin Dönmez Özkan, Jakub Sypniewski, Alexander Meschtscherjakov","doi":"10.1007/s00779-023-01781-6","DOIUrl":"https://doi.org/10.1007/s00779-023-01781-6","url":null,"abstract":"<p>Driving an automated vehicle requires a clear understanding of its automation capabilities and resulting duties on the driver’s side. This is true across all levels of automation but especially so on SAE levels 3 and below, where the driver has an active driving task performance and/or monitoring role. If the automation capabilities and a driver’s understanding of them do not match, misuse can occur, resulting in decreased safety. In this paper, we present the results from a simulator study that investigated driving mode awareness support via ambient lights across automation levels 0, 2, and 3. We found lights in the steering wheel to be useful for momentary and lights below the windshield for permanent indication of automation-relevant information, whereas lights in the footwell showed to have little to no positive effects on driving mode awareness.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138542810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automation of interaction—interaction design at the crossroads of user experience (UX) and artificial intelligence (AI)","authors":"Mikael Wiberg, Erik Stolterman Bergqvist","doi":"10.1007/s00779-023-01779-0","DOIUrl":"https://doi.org/10.1007/s00779-023-01779-0","url":null,"abstract":"Abstract Interaction design/HCI seems to be at a crossroads. On the one hand, it is still about designing for engaging user experiences (UX). Still, on the other hand, it seems to be increasingly about reducing interaction and automating human–machine interaction through the use of AI and other new technologies. In this paper, we explore this seemingly unavoidable gap. First, we discuss the fundamental design rationality underpinning interaction and automation of interaction from the viewpoints of classic theoretical standpoints. We then illustrate how these two come together in interaction design practice. Here we examine four examples from already published research on automation of interaction, including how different levels of automation of interaction affect or enable new practices, including coffee making, self-tracking, automated driving, and conversations with AI-based chatbots. Through an interaction analysis of these four examples, we show (1) how interaction and automation are combined in the design, (2) how interaction is dependent on a certain level of automation, and vice versa, and (3) how each example illustrates a different balance between, and integration of interaction and automation. Based on this analysis, we propose a two-dimensional design space as a conceptual construct that takes these aspects into account to understand and analyze ways of combining interaction and automation in interaction design. We illustrate the use of the proposed two-dimensional design space, discuss its theoretical implications, and suggest it as a useful tool—when designing for engaging user experiences (UX), with interaction and automation as two design materials.","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"06 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135092204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transformer-based models to deal with heterogeneous environments in Human Activity Recognition","authors":"Sannara Ek, François Portet, Philippe Lalanda","doi":"10.1007/s00779-023-01776-3","DOIUrl":"https://doi.org/10.1007/s00779-023-01776-3","url":null,"abstract":"","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":" 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135242577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"‘That’s when I put it on’: stakeholder perspectives in large-scale remote health monitoring for older adults","authors":"Magdalena Wróbel-Lachowska, Julia Dominiak, Mikołaj P. Woźniak, Natalia Bartłomiejczyk, Daniel Diethei, Aleksandra Wysokińska, Jasmin Niess, Krzysztof Grudzień, Paweł W. Woźniak, Andrzej Romanowski","doi":"10.1007/s00779-023-01753-w","DOIUrl":"https://doi.org/10.1007/s00779-023-01753-w","url":null,"abstract":"Abstract Remote health monitoring (RHM) provides various benefits to older adults, but its use is still limited. Remote monitoring may help in avoiding emergencies and prolong users’ independence. To understand how to design systems which support older adults, we studied a large-scale remote health monitoring system. The system used fitness-grade smartwatches to monitor the vital signs of more than 2000 users constantly. To probe the lived experience of using RHM, we conducted an explorative interview study ( N = 41) with operators, carers, and users of the RHM system. Our thematic analysis reveals that personalisation of care ecology is crucial for developing users’ confidence and trust in the system. We found that participation in RHM may catalyse positive changes in older adults’ lifestyles. Based on our findings, we formulate five recommendations for designing future health monitoring systems. Our work contributes to insights into the lived experience and stakeholder ecology of health monitoring systems.","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction Note: An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems","authors":"Mohamed Abdel-Basset, Gunasekaran Manogaran, Laila Abdel-Fatah, Seyedali Mirjalili","doi":"10.1007/s00779-023-01778-1","DOIUrl":"https://doi.org/10.1007/s00779-023-01778-1","url":null,"abstract":"","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135254328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}