• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1916-1934
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• 2023

The phishing attack is a malicious emerging threat on the internet where the hackers try to access the user credentials such as login information or Internet banking details through pirated websites. Using that information, they get into the original website and try to modify or steal the information. The problem with traditional defense systems like firewalls is that they can only stop certain types of attacks because they rely on a fixed set of principles to do so. As a result, the model needs a client-side defense mechanism that can learn potential attack vectors to detect and prevent not only the known but also unknown types of assault. Feature selection plays a key role in machine learning by selecting only the required features by eliminating the irrelevant ones from the real-time dataset. The proposed model uses Hyperparameter Optimized Artificial Neural Networks (H-ANN) combined with a Hybrid Firefly and Grey Wolf Optimization algorithm (H-FFGWO) to detect and block phishing websites in Internet of Things(IoT) Applications. In this paper, the H-FFGWO is used for the feature selection from phishing datasets ISCX-URL, Open Phish, UCI machine-learning repository, Mendeley website dataset and Phish tank. The results showed that the proposed model had an accuracy of 98.07%, a recall of 98.04%, a precision of 98.43%, and an F1-Score of 98.24%.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.65-81
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• 2015

Altmetircs is the new method to measure social impact of research result which couldn't be found by traditional way, through measuring how much research result is reacting to social media. As academic communication has been diverse and OA repository which can preserve diverse type of article has been activated, New paradigm that measure impact of articles through multifaceted and complex way has been started. This study considers background, status of application, pros and cons about altmetircs. And by using Impactstory which is open source based tool, analyses the research output about digital library of Korea, china and japan which is published in international journal. Besides, analyses correlation between Altmetricss and citation rates. As results, "saved" shows higher than "cited" in library research analysis, it means that even though articles are not cited by followed study, there are a lot of articles that has saved in reference management tool. And positive correlation(r = 0.718) exists between "saved" and "cited", it can be inferred that Altmetricss complement the bibliometrics based evaluation system. Meanwhile, Korean researches are saved more in reference management tool than other countries.