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Towards Machine Learning Based Intrusion Detection in IoT Networks

Computers, Materials & Continua 2021年第11期69卷 1801-1821页

作者： Nahida Islam Fahiba Farhin ishrat sultana M.Shamim Kaiser Md.Sazzadur Rahman Mufti Mahmud A.S.M.Sanwar Hosen Gi Hwan Cho Institute of Information Technology Jahangirnagar UniversityDhakaBangladesh Department of Computer Science Nottingham Trent UniversityNottinghamUK Division of Computer Science and Engineering Jeonbuk National UniversityJeonju54896Korea

The Internet of Things(IoT)integrates billions of self-organized and heterogeneous smart nodes that communicate with each other without human *** recent years,IoT based systems have been used in improving the experience in many applications including healthcare,agriculture,supply chain,education,transportation and traffic monitoring,utility services ***,node heterogeneity raised security concern which is one of the most complicated issues on the *** security measures,including encryption,access control,and authentication for the IoT devices are ineffective in achieving *** this paper,we identified various types of IoT threats and shallow(such as decision tree(DT),random forest(RF),support vector machine(SVM))as well as deep machine learning(deep neural network(DNN),deep belief network(DBN),long short-term memory(LSTM),stacked LSTM,bidirectional LSTM(Bi-LSTM))based intrusion detection systems(IDS)in the IoT environment have been *** performance of these models has been evaluated using five benchmark datasets such as NSL-KDD,IoTDevNet,DS2OS,IoTID20,and IoT Botnet *** various performance metrics such as Accuracy,Precision,Recall,F1-score were used to evaluate the performance of shallow/deep machine learning based *** has been found that deep machine learning IDS outperforms shallow machine learning in detecting IoT attacks.

关键词： IoT shallow machine learning deep learning data science IDS

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An Analysis of the Lifestyle and Mental Health Status of Adult People Living in Dhaka City: A Cross-Sectional Study in Post COVID-19 Era

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Advances in Infectious Diseases 2024年第2期14卷 393-410页

作者： Tania Ahmed Chowdhury Nasrin Akhter ishrat Hossain Rezwana Jahan Pallabi sultana Mohammad Jahangir Alam Radda MCH-FP Centre Dhaka Bangladesh Center for Higher Studies and Research (CHSR) Bangladesh University of Professionals (BUP) Dhaka Bangladesh

Introduction: The Novel Coronavirus or COVID-19 affected all the megacities of the world and made the mental health and lifestyle of people paralyzed. According to different studies, such difficulties were different in scale in different cities depending on the demographic attributes of the people. This phenomenon has created the essence of the current study to examine the health conditions in terms of their mental health, lifestyle, and demographic attributes during and immediate past of the COVID-19 era. Method: It was a cross-sectional study covering the people of Dhaka City Corporation. For this purpose, a multistage sampling method was applied, under which the respondents were selected randomly and a self-administered structured questionnaire was used to collect data. The questionnaire was developed based on the DASS 21, as it was suitable to measure the components of mental health in the form of depression, anxiety, and stress. Descriptive analysis and cross-tabulation were applied to find out the association between dependent and independent variables, whereas, a chi-square test was performed to examine the hypothesis. Finally, multivariate analysis was done to find out the risk factors. Three logistic regression models were developed for three dependent variables. Result: The findings of the analysis revealed that the lifestyle of people had severely influenced the components of their mental health conditions during and immediate past of COVID-19 in the Dhaka City Corporation, which varies to some extent depending on the demographic attributes of those. Conclusion: The above findings are statistically significant enough to conclude about the essence of taking preventive measures regarding mental health issues in the future. However, the limitations of this study-keeping it within the urban areas and the educated people, have also created the venue for future researchers to move with their research endeavors in the rural areas nationwide and thus generalize t

关键词： Lifestyle Mental Health Depression Stress Anxiety Dhaka City DASS 21 COVID-19

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A Comparative Phytochemical and Biological Study between Different Solvent Extracts of <i>Bombax ceiba </i>Roots Available in Bangladesh

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Pharmacology & Pharmacy 2018年第2期9卷 53-66页

作者： Nazia Hoque Sabera Rahman ishrat Jahan Meena Afroze Shanta Nigar sultana Tithi Nishat Nasrin Department of Pharmacy East West University Dhaka Bangladesh

Use of different solvent systems for extraction of plant materials may cause variation in their bioactivities. The present study was conducted to evaluate the presence of different phytoconstituents and to compare in vitro bioactivities of petroleum ether, dichloromethane (DCM) and methanol extracts of Bombax ceiba (B. ceiba) roots available in Bangladesh. Preliminary phytochemical screening was conducted using specific standard procedure. Antioxidant activity of the extracts was evaluated using DPPH radical scavenging assay. Determination of total phenolic and flavonoid content was also carried out. Antibacterial and cytotoxic activities were investigated using disc diffusion method and brine shrimp lethality bioassay, respectively. All the experiments were carried out from February 2016 to September 2016. Phytochemical evaluation revealed the presence of alkaloids, terpenoids, carbohydrates, tannins, flavonoids, saponins and steroids. The methanol extract showed the highest DPPH radical scavenging activity and had the highest phenolic (187.42 ± 3.77 mg/g, GAE) and flavonoid content (74.67 ± 4 mg/g, QE) followed by the DCM and petroleum ether extracts. The extracts showed positive correlation between DPPH radical scavenging activity with the phenolic and flavonoid content. All the extracts showed mild to moderate in vitro antibacterial activity with zone of inhibition ranging from 7 mm to 13 mm. In brine shrimp lethality bioassay, the observed LC50 values for petroleum ether, DCM and methanol extracts were 70.72 μg/ml, 37.72 μg/ml and 22.58 μg/ml, respectively which revealed strong cytotoxic potential of the extracts compared to the positive control. The results indicated that B. ceiba roots could be a very potent source of natural radical scavenger and cytotoxic agent.

关键词： Bombax ceiba antioxidant activity DPPH antibacterial activity cytotoxic effect

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