Browsing by Author "Yesmin, Farzana"

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A New Chaotic-Based Analysis of Data Encryption and Decryption
(Springer, 2023-05-14) Johora, Fatema Tuj; -Ul-Islam, Alamin; Yesmin, Farzana; Rahman, Md. Mosfikur
Because the amount of exchange hypersensitive data via the Internet is growing at an exponential rate, network and data security have recently been the most pressing worry. On the subject of data security, many approaches are available, including “cryptography.” When data is sent from the sender to the receiver, it is encrypted using an encryption method, and when it is received by the receiver, it is decrypted using a decryption algorithm to see the exact and true data that was sent by the sender previously. Data encryption can be done in a number of ways. With algorithms like AES, DES, and RSA for data encryption and decryption, this research proposes a novel CRSA (chaotic random seed algorithm) technique. CRSA was also compared to other algorithms to see how well they performed. The experimental data presented in this work are used to examine those algorithms as well as our new CRSA algorithm. Cryptography, encryption, decryption, random reed, millisecond, and data security are all terms used in this paper.
Classification of Ethical and Unethical Social Media Activities Using Data Analytics
(Daffodil International University, 23-02-18) Yesmin, Farzana; Hossain, Shoaib
In a society and era when they are prevalent, such as Instagram, Twitter, and Facebook, it could be challenging to identify the shortcomings of each program or website. In 2022, almost every person uses social media to get connected and relate to each other through these platforms. As it is a modern age and a technological revolution has happened already, people need to get connected to social media by their own privileges. Merely, everyone must continue their study and official work. Therefore, it has been found that many people become addicted to using social media in all cases and in all circumstances. It is necessary to find out the exact reasons why people become addicted to social media and maintain social media activities during working or studying time. Researchers all over the world found out that a huge quantity of people become addicted to social media, however they are not their workplace or not. By using machine learning technologies and data analytics, it can be found out the reason to use social media in that environment where it is not allowed. As everyone is concerned about their own workplaces, they must have known it is unethical. In this research, these questions are answered with proper explanation with the help of data analytics and machine learning. Soon, it will be great to understand and find out the reasons for natural language processing or human activities.
Classification of Ethical and Unethical Social Media Activities Using Data Analytics
(Daffodil International University, 23-02-18) Yesmin, Farzana; Hossain, Shoaib
In a society and era when they are prevalent, such as Instagram, Twitter, and Facebook, it could be challenging to identify the shortcomings of each program or website. In 2022, almost every person uses social media to get connected and relate to each other through these platforms. As it is a modern age and a technological revolution has happened already, people need to get connected to social media by their own privileges. Merely, everyone must continue their study and official work. Therefore, it has been found that many people become addicted to using social media in all cases and in all circumstances. It is necessary to find out the exact reasons why people become addicted to social media and maintain social media activities during working or studying time. Researchers all over the world found out that a huge quantity of people become addicted to social media, however they are not their workplace or not. By using machine learning technologies and data analytics, it can be found out the reason to use social media in that environment where it is not allowed. As everyone is concerned about their own workplaces, they must have known it is unethical. In this research, these questions are answered with proper explanation with the help of data analytics and machine learning. Soon, it will be great to understand and find out the reasons for natural language processing or human activities.