{"title":"Adaptive information security and privacy","authors":"B. Nuseibeh","doi":"10.1109/RCIS.2017.7956510","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956510","url":null,"abstract":"Although security and privacy by design underpin effective engineering of software intensive systems, the dynamic reality of modern information systems means that such systems are the subject of changes of many different forms that can affect their operational environment, their behaviour, and the behaviour of their users, both legitimate and malicious. Systems must therefore be adaptive by design, in order to adapt effectively at runtime. In particular, these systems must be able to adapt their security and privacy controls, both proactively or in response to a variety of changes in their environment, in the threats they face, and in the assets they are required to protect. This talks presents both empirical and engineering challenges to achieving adaptive security and privacy in information systems. Acknowledging that information systems are increasingly both socio-technical and cyber-physical, the talk explores the impact of cyber-physical-social boundaries and their effective management when engineering secure, privacy-aware, and forensics-ready systems.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115256509","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":"An ontology-based framework for enhancing personalized content and retrieval information","authors":"Essayeh Aroua, M. Abed","doi":"10.1109/RCIS.2017.7956547","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956547","url":null,"abstract":"providing the user with tailored and personalized services has a paramount importance when developing an interactive system. However, anticipating his interest remains another challenge to be overcame. This is related on one hand, to the lack of specific computational modeling for knowledge discovery, and on other hand, to fitting correctly with what the user requires. In this paper, a new method based on user profile ontology built through ontology modularization is proposed. This latter, is composed of explicit and implicit user's preferences. The discovering of such preferences is achieved by a new method of content based ontology that aims to take into consideration both the hierarchical and the non-hierarchical (semantic) relations jointly with related properties. However, the extraction phase is gained by ontological rules SWRL which are extended through the Spreading activation technique in order to infer as much as possible new knowledge. The proposal is applied in the public transport system to retrieve the most suitable path. The assessment phase shows that this method can provide meaningful personalized results.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122707857","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}
Alexander Gröflin, Mario Weber, M. Guggisberg, H. Burkhart
{"title":"Traffic flow measurement of a public transport system through automated Web observation","authors":"Alexander Gröflin, Mario Weber, M. Guggisberg, H. Burkhart","doi":"10.1109/RCIS.2017.7956532","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956532","url":null,"abstract":"When it comes down to public transport systems, delays are a hot topic. For a quantitative conclusion whether a delay is just an incident or happens on a regular basis, we have to believe in the figures published in the annual reports of public transport companies. However, even if some data is available online, it is quite hard to independently examine these numbers without information technologies. This paper presents an architecture for extracting Web data from a local transport operator through automated Web observations. By exploiting an already existing Web infrastructure, we are not only able to collect vast amounts of transportation data but may also visualise all transportation units (bus or trams) interactively. Moreover, collecting Web data enables us to make suggestions in order to reassess the performance figures of the annual report in terms of accuracy and precision. Monitoring key values help identifying the state of the transportation system.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"34 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116489983","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":"Conceptual modelling: How to do it right?","authors":"M. Snoeck","doi":"10.1109/RCIS.2017.7956512","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956512","url":null,"abstract":"Providing individual and immediate feedback in educational situations is a critical factor for improving knowledge and skills acquisition. This is especially important for complex ill-structured learning tasks, i.e. tasks that are characterized by having multiple good solutions (ill-structured), allowing individual learners to follow different routes for achieving the final learning objectives, and having non-evident interactions between the different concepts in the problem domain. Conceptual modelling is an example of such complex learning task as it requires rigorous analytical skills and experience to externalize requirements into high-quality formal representations - conceptual models. These skills are very difficult to teach to novice modellers mainly due to the lack of tools that can continuously guide them in the learning process. In this talk, I will report about the use of automated feedback and simuation to guide the student's learning process for conceptual modelling. Furthermore, lessons from student modelling behaviour as observed from logging the modelling process of students will be presented. The findings include a set of typical modeling and validation patterns that can be used to improve teaching guidance for domain modeling courses. From a scientific viewpoint, the outcomes of the work can be inspirational outside of the area of domain modeling as learning event data is becoming readily available through virtual learning environments and other information systems.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116412483","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":"Wikipedia-based extraction of key information from resumes","authors":"Mohammad Ghufran, N. Bennacer, Gianluca Quercini","doi":"10.1109/RCIS.2017.7956530","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956530","url":null,"abstract":"There is a vast amount of information about individuals available on the Web that has potential uses in Human Resource Management (HRM) - both for recruiters and job seekers. Since people names are inherently ambiguous, finding information related to a specific person is challenging and a simple query by name will likely return web pages related to several different individuals who happen to share the same name as the target of the query.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127128623","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":"Online visual search behaviour, performance and satisfaction: A comparative study of English, Arabic and Chinese users","authors":"Mohammad Alsaffar","doi":"10.1109/RCIS.2017.7956567","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956567","url":null,"abstract":"The primary goal of this research is to explore differences in visual search behaviour, performance and subjective satisfaction between English, Arabic and Chinese speaking users of a Search Engine Result Page (SERP) in order to provide design insights for international web designers and developers. The research uses eye tracking to examine whether differences in visual behaviour and eye movement exist between the three groups (English, Arabic and Chinese users) when viewing SERPs on large and small screen and whether their eye movements differ according to the types of activity, the type of SERP interface or the screen size.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129057374","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}
Andrew M'manga, Shamal Faily, J. McAlaney, Christopher Williams
{"title":"System design considerations for risk perception","authors":"Andrew M'manga, Shamal Faily, J. McAlaney, Christopher Williams","doi":"10.1109/RCIS.2017.7956554","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956554","url":null,"abstract":"The perception of risk is a driver for security analysts' decision making. However, security analysts may have conflicting views of a risk based on personal, system and environmental factors. This difference in perception and opinion, may impact effective decision making. In this paper, we propose a model that highlights areas contributing to the perception of risk in a socio-technical environment and their implication to system design. We validate the model through the use of a hypothetical scenario, which is grounded in both the literature and empirical data.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485757","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":"Cyber security risk management for health-based critical infrastructures","authors":"Myrsini Athinaiou","doi":"10.1109/RCIS.2017.7956566","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956566","url":null,"abstract":"This brief paper reports on an early stage ongoing PhD project in the field of cyber-physical security in health care critical infrastructures. The research overall aims to develop a methodology that will increase the ability of secure recovery of health critical infrastructures. This ambitious or reckless attempt, as it is currently at an early stage, in this paper, tries to answer why cyber-physical security for health care infrastructures is important and of scientific interest. An initial PhD project methodology and expected outcomes are also discussed. The report concludes with challenges that emerge and possible future directions.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485857","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":"Formal semantics and analysis tasks for ME-MAP models","authors":"Azzam Maraee, A. Sturm","doi":"10.1109/RCIS.2017.7956542","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956542","url":null,"abstract":"Know-how deals with the knowledge of how to achieve objectives effectively and efficiently. Mapping this knowledge facilitates and encourages understanding domains, learning about problems and solutions, analyzing the trade-offs among these, identifying potential gaps and places for improvements, and reasoning about the existing knowledge. To address these goals we developed a know-how mapping approach - ME-MAP and introduced its abstract and concrete syntax. This paper further equips the modeling/mapping language of the ME-MAP approach with formal semantics and presents related analysis and reasoning tasks, elaborate on these tasks and explain their rationale. These tasks ensure keeping precise, consistent and correct models, enable the extraction of useful knowledge from the model and by this provide an inclusive support to the knowledge stakeholders.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122944152","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":"Two-step RDF query processing for Linked Data","authors":"Yongju Lee, Changsu Kim","doi":"10.1109/RCIS.2017.7956576","DOIUrl":"https://doi.org/10.1109/RCIS.2017.7956576","url":null,"abstract":"Since RDF triples are modeled as graphs, we cannot directly adopt existing solutions from relational databases and XML technologies. Thus, there are still a number of open problems in the area of Linked Data. We present a hybrid method between centralized and distributed approaches. By using auxiliary indexes based on the MBB approximation, our approach can retrieve distributed Linked Data efficiently. The goal of our approach is to support efficient join query processing by quickly pruning unnecessary scanning data.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"22 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125782558","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}