Int. J. Web Sci.Pub Date : 2019-09-10DOI: 10.1504/ijws.2019.10023827
Rozita Jamili Oskouei
{"title":"Creating web signature for each individual user and its various applications","authors":"Rozita Jamili Oskouei","doi":"10.1504/ijws.2019.10023827","DOIUrl":"https://doi.org/10.1504/ijws.2019.10023827","url":null,"abstract":"In this paper we describe our experiments and their results to generate unique web signatures for students and study its relationships with their time spent on internet, academic performance and participating in curricular activities. Further, we demonstrate the usage of this web signature to identify outliers in student community based on their different behavioural dimensions. Our results contradict widely held perception that access and usage of internet have adverse effects on academic performance. It seems to contribute positively in academic performance. The major applications of web signature are: 1) to help administrators to predict the more overloaded timing per day and plan for that; 2) to group users based on their similarity of contents of behaviours and establishing social network between those users. Main benefits for creating this social network are to help to fresher students for connecting to professional and expert people and discuss problems or difficulties.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116980043","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}
Int. J. Web Sci.Pub Date : 2019-09-10DOI: 10.1504/ijws.2019.10023828
Navdeep Kaur, Parminder Kaur
{"title":"Mitigation of SQL injection vulnerability during development of web applications","authors":"Navdeep Kaur, Parminder Kaur","doi":"10.1504/ijws.2019.10023828","DOIUrl":"https://doi.org/10.1504/ijws.2019.10023828","url":null,"abstract":"SQL injection (SQLI) attack is consistently proliferating across the globe. According to Open Web Application Security Project (OWASP) Top Ten Cheat Sheet-2014, SQLI is at top in the list of online attacks. The cause of spread of SQLI is thought to be unsecure software engineering. The software development process itself appears to look at security as an add-on to be checked and deployed towards the end of the software development lifecycle (SDLC) which leads to vulnerabilities in web applications. This paper is an attempt to integrate security during development of web application. The paper introduces a 'grounds-up' approach for developing SQLI free web application. The process of occurrence of SQLI attack is discussed with the help of suitable example. Various security activities desired to mitigate SQLI during software development lifecycle are discussed.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803408","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}
Int. J. Web Sci.Pub Date : 2019-09-10DOI: 10.1504/ijws.2019.10023829
G. Bhandari, Ratneshwer Gupta
{"title":"A systematic literature review in fault analysis for IoT","authors":"G. Bhandari, Ratneshwer Gupta","doi":"10.1504/ijws.2019.10023829","DOIUrl":"https://doi.org/10.1504/ijws.2019.10023829","url":null,"abstract":"Internet of things (IoT) is a system where devices, sensors, and equipment are connected to a network and can communicate data for tracking, analysis, and action processes. Even though IoT has drawn increasing attention, and become a promising technology in many areas within half a decade, it has some serious challenges to handle fault in IoT system too. The main objective of this systematic literature review (SLR) is to summarise the current state of the art of fault analysis in the IoT. After applying inclusion and exclusion selection criteria, this systematic literature review includes 68 papers published between January 2012 and April 2017, 15 papers addressed different aspects of IoT fault, 37 addressed recovery methods for IoT-fault, and 28 research papers including three review-based papers addressed IoT-issues and challenges in fault handling. The findings of this SLR further provide empirical evidence for establishing future IoT-related faults' research agendas.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"1999 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114129992","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}
Int. J. Web Sci.Pub Date : 2019-09-09DOI: 10.1504/ijws.2019.10023834
Malin Wik, J. Pettersson
{"title":"Lack of multimedia tools in intervention support for running systems","authors":"Malin Wik, J. Pettersson","doi":"10.1504/ijws.2019.10023834","DOIUrl":"https://doi.org/10.1504/ijws.2019.10023834","url":null,"abstract":"Engrafting support staff into dialogues between users and customer support systems can compensate for system design flaws. Further, such dialogues can give grounds for system development. This article surveys the levels of interactivity of user support systems, where overt or covert support agents take an active part in the communication between a customer and a system. The main purpose is to demonstrate the prevailing lack of multimedia outputs in the tools supporting human intervention in systems with a graphical user interface (GUI). This is followed by an account of experimentation with human support engrafted in a web system that has a fuller range of GUI expression. The experiment explores the possibility of using multimedia in intervention in human-computer interaction and how such intervention can be built when it is not yet part of the augmented system.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130026015","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}
Int. J. Web Sci.Pub Date : 2017-12-14DOI: 10.1504/IJWS.2017.10009569
P. Chahal, Manjeet Singh, Suresh Kumar
{"title":"Web documents semantic similarity by extending document ontology using current trends","authors":"P. Chahal, Manjeet Singh, Suresh Kumar","doi":"10.1504/IJWS.2017.10009569","DOIUrl":"https://doi.org/10.1504/IJWS.2017.10009569","url":null,"abstract":"Semantic evaluation of similarity index is computation of relatedness between terms/concepts/documents. In this paper, we have given a novel semantic similarity approach to overcome the limitations that exists in calculating semantic similarity score. In our approach we are extracting words/terms from the set of documents, and then replacing the extracted words/terms by their respective set of probable concepts stored in a dictionary. The concepts retrieved from the dictionary are connected using relationships from a base ontology for construction of document ontology corresponding to a given document. The ontology constructed this way is further extended using trend relationships stored in a separate database. Finally, the extended documents' ontology is compared for finding the relatedness between the documents. It is proved empirically that the proposed approach gives the better results of semantic similarity as compared with the conventional approaches.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208729","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}
Int. J. Web Sci.Pub Date : 2017-12-14DOI: 10.1504/IJWS.2017.10009576
Mawloud Mosbah, Bachir Boucheham
{"title":"Pseudo relevance feedback based on majority voting mechanism","authors":"Mawloud Mosbah, Bachir Boucheham","doi":"10.1504/IJWS.2017.10009576","DOIUrl":"https://doi.org/10.1504/IJWS.2017.10009576","url":null,"abstract":"The pseudo relevance feedback mechanism has come to improve the performance of the CBIR systems before visualising the final results and without any user assistance. In this paper, we show the superiority of our proposed a pseudo relevance feedback scheme 'majority voting algorithm'. The algorithm is compared to other approaches of the literature of that clustering materialised on two well known clustering algorithms namely: hierarchical agglomerative clustering method (HACM) and K-means and pseudo query reformulation materialised on pseudo query point movement, pseudo standard Rocchio formula and pseudo adaptive shifting query. Experiments are conducted on the heterogeneous Wang (COREL-1K) database and Google image engine using the colour moments as a signature. This work enables us to compare some pseudo relevance feedback techniques of the literature while the obtained results show the clear superiority of our proposed algorithm.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115566798","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}
Int. J. Web Sci.Pub Date : 2017-12-14DOI: 10.1504/IJWS.2017.10009570
Chibuzo B. Onyemaobi, I. A. Ajah
{"title":"Comparative analysis of web development languages performances","authors":"Chibuzo B. Onyemaobi, I. A. Ajah","doi":"10.1504/IJWS.2017.10009570","DOIUrl":"https://doi.org/10.1504/IJWS.2017.10009570","url":null,"abstract":"Web programming languages employed by students, teachers and professionals have been redesigned and upgraded rapidly by the developers and interest companies. This paper uses content analysis method to compare various web development languages. The comparison is based on their web security, web development, web services, object oriented programming (OOP) base abstraction and user interface design. A view of the capabilities of each of these languages is clinically presented, and should help those trying to understand their technical similarities, differences, and capabilities.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115462725","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}
Int. J. Web Sci.Pub Date : 2017-12-14DOI: 10.1504/IJWS.2017.10009571
Jagendra Singh, Aditi Sharan, Mayank Saini
{"title":"Term co-occurrence and context window-based combined approach for query expansion with the semantic notion of terms","authors":"Jagendra Singh, Aditi Sharan, Mayank Saini","doi":"10.1504/IJWS.2017.10009571","DOIUrl":"https://doi.org/10.1504/IJWS.2017.10009571","url":null,"abstract":"In this paper, our focus is to capture the limitations of Pseudo-Relevance Feedback (PRF) based query expansion (QE) and propose a hybrid method to improve the performance of PRF-based QE by combining corpus-based term co-occurrence information, context window of query terms and semantic information of term. Firstly, the paper suggests use of various corpus-based term co-occurrence approaches to select an optimal combination of query terms from a pool of terms obtained using PRF-based QE. Third, we use semantic similarity approach to rank the QE terms obtained from top feedback documents. Fourth, we combine co-occurrence, context window and semantic similarity based approaches together to select the best expansion for query reformulation. The experiments were performed on FIRE ad-hoc and TREC-3 benchmark datasets of information retrieval task. The results show significant improvement in terms of precision, recall and mean average precision (MAP). This experiment shows that the combination of various techniques in an intelligent way gives us goodness of all of them.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122496803","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}
Int. J. Web Sci.Pub Date : 2015-07-18DOI: 10.1504/IJWS.2014.070671
G. Dhanalekshmi, Krishna Asawa
{"title":"LPLX-lexicographic-based persistent labelling scheme of XML documents for dynamic update","authors":"G. Dhanalekshmi, Krishna Asawa","doi":"10.1504/IJWS.2014.070671","DOIUrl":"https://doi.org/10.1504/IJWS.2014.070671","url":null,"abstract":"The increasing number of XML documents over the internet motivated us to develop indexing techniques to retrieve the XML data efficiently. Assigning unique labels to each node and determining the structural relationships is a critical problem in XML query processing. Labelling schemes designed for static XML documents will not support dynamic updates on XML documents. Some dynamic labelling schemes provide dynamic updates but, with a high cost and complexity. In this paper we propose a labelling scheme which supports the dynamic update without relabelling the existing nodes. It also determines the structural relationships efficiently by looking at the labels. A set of performance tests is carried to compute the time required to generate unique labels.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122125167","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}
Int. J. Web Sci.Pub Date : 2015-07-18DOI: 10.1504/IJWS.2014.070668
K. C. Srikantaiah, M. Roopa, N. K. Kumar, K. Venugopal, L. Patnaik
{"title":"Automatic discovery and ranking of synonyms for search keywords in the web","authors":"K. C. Srikantaiah, M. Roopa, N. K. Kumar, K. Venugopal, L. Patnaik","doi":"10.1504/IJWS.2014.070668","DOIUrl":"https://doi.org/10.1504/IJWS.2014.070668","url":null,"abstract":"Search engines are an indispensable part of a web user's life. A vast majority of these web users experience difficulties caused by the keyword-based search engines such as inaccurate results for queries and irrelevant URLs even though the given keyword is present in them. Also, relevant URLs may be lost as they may have the synonym of the keyword and not the original one. This condition is known as the polysemy problem. To alleviate these problems, we propose an algorithm called automatic discovery and ranking of synonyms for search keywords in the web (ADRS). The proposed method generates a list of candidate synonyms for individual keywords by employing the relevance factor of the URLs associated with the synonyms. Then, ranking of these candidate synonyms is done using co-occurrence frequencies and various page count-based measures. One of the major advantages of our algorithm is that it is highly scalable which makes it applicable to online data on the dynamic, domain-independent and unstructured World Wide Web. The experimental results show that the best results are obtained using the proposed algorithm with WebJaccard.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114470902","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}