Browsing by Author "Hossain, Md. Akib"

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    A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
    (BRAC University, 2020-04) Kabir, Solaiman; Sakib, Sadman; Hossain, Md. Akib; Islam, Safi; Hossain, Muhammad Iqbal
    In today's world, technological advancements have entangled our nancial, social and many more other aspects of lives to the internet or some network. Moreover, with the development of IoT technologies, it has spread over to our transportation, home-appliances and more devices. It is also a security risk because all of our sensitive and private knowledge on the Internet is exposed to a growing amount of cyber-attacks. An Intrusion Detection System can identify a cyber-attack while it is ongoing or prior to it. We are conscious of the evolving Machine Learning and Deep Learning developments, the most sophisticated multi-functional methods created by humans that can be utilized to overcome this issue. Alongside identi fication, precise classi cation of intrusion is of considerable signi ficance for the administrator to take decisive actions. In this study, we have used the dataset CIC-IDS-2018 that is the biggest and most recent labeled dataset of intrusions. This dataset comprises of six varieties of attacks. Our thesis proposes a CNN Model with mish activation function and Ranger optimizer. The model reaches an accuracy of 0.989 that is the highest in multiclass classification with this dataset.
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    An analysis of the trends that influence the buyers to purchase online magazines
    (BRAC University, 2019-12) Hossain, Md. Akib; Chowdhury, Md. Hasan Maksud
    Purpose: To find out the analysis of the trends that influence the buyers to purchase Online Magazines Methodology: This report incorporates Primary data assortment and acquiring a few information from other secondary sources for better understanding. A survey was conducted to collect information and get the results. The secondary data helps to find the dependent and independent factors to analyze the primary objective. Some of the secondary Data Sources are Online Magazines and articles, previous journals, reports and some Social Media of Popular Magazines. Findings: This finding reveals that, all three components individually influence the buyers to make their purchasing decision of Online Magazines. Since, the beta value for the ‘Cost Effectiveness’ is the highest, buyers are highly influenced by the cost factors while purchasing online magazines. Paper Type: Research Paper