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Article Citation - Scopus: 48Identifying Phishing Attacks in Communication Networks Using Url Consistency Features(Inderscience Publishers, 2020) Azeez,N.A.; Salaudeen,B.B.; Misra,S.; Damasevicius,R.; Maskeliunas,R.Phishing is a fraudulent attempt by cybercriminals, where the target audience is addressed by a text message, phone call or e-mail, requesting classified and sensitive information after presenting himself/herself as a legitimate agent. Successful phishing attack may result into financial loss and identity theft. Identifying forensic characteristics of phishing attack can help to detect the attack and its perpetuators and as well as to enable defence against it. To shield internet users from phishing assaults, numerous anti-phishing models have been proposed. Currently employed techniques to handle these challenges are not sufficient and capable enough. We aim at identifying phishing sites in order to guard internet users from being vulnerable to any form of phishing attacks by verifying the conceptual and literal consistency between the uniform resource locator (URL) and the web content. The implementation of the proposed PhishDetect method achieves an accuracy of 99.1%; indicating that it is effective in detecting various forms of phishing attacks. © 2020 Inderscience Enterprises Ltd.. All rights reserved.Article Citation - Scopus: 7The Determinants of E-Tourism Websites for Tourists While Selecting a Travel Destination(Inderscience Publishers, 2022) Chatterjee,S.; Majumdar,D.; Misra,S.; Damasevicius,R.The purpose of this article is to identify the determinants of the e-tourism websites for tourists to select their travel destinations. Based on the review of the literature, a conceptual model has been developed. The model contains antecedents of e-tourism websites that could help a tourist to select the travel destination. The model has been validated statistically with a survey involving 309 usable respondents. The PLS-SEM analysis was conducted for hypotheses testing and for validation of the conceptual model. The results show that the antecedents of e-tourism websites like the ease of use, website enjoyment, perceived authenticity of websites, and perceived risk have an impact on the tourists for selection of their travel destinations. The e-tourism websites should possess special features to help travellers to accurately finalise their travel destinations. The developer of the website should design the websites to be interactive so that the viewers can enjoy while surfing the website and should be cautious towards the accuracy of the information-content so that the viewers can feel the contents authenticated. Since there are not many studies in the context of the contribution of e-tourism websites for selecting a travel destination, this study has taken an attempt to fill up this gap. © 2022 Inderscience Enterprises Ltd.Article Identifying Phishing Attacks in Communication Networks Using Url Consistency Features(Inderscience Publishers, 2020) Azeez,N.A.; Salaudeen,B.B.; Misra,S.; Damasevicius,R.; Maskeliunas,R.Phishing is a fraudulent attempt by cybercriminals, where the target audience is addressed by a text message, phone call or e-mail, requesting classified and sensitive information after presenting himself/herself as a legitimate agent. Successful phishing attack may result into financial loss and identity theft. Identifying forensic characteristics of phishing attack can help to detect the attack and its perpetuators and as well as to enable defence against it. To shield internet users from phishing assaults, numerous anti-phishing models have been proposed. Currently employed techniques to handle these challenges are not sufficient and capable enough. We aim at identifying phishing sites in order to guard internet users from being vulnerable to any form of phishing attacks by verifying the conceptual and literal consistency between the uniform resource locator (URL) and the web content. The implementation of the proposed PhishDetect method achieves an accuracy of 99.1%; indicating that it is effective in detecting various forms of phishing attacks. © 2020 Inderscience Enterprises Ltd.. All rights reserved.
