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Browsing Project Report by Subject "Cybersecurity"

Now showing items 1-15 of 15

Blockchain security assessment : a review base assessment

Asraful, Md. (Daffodil International University, 2024-01-25)

Blockchain technology, distinguished by its decentralized and irreversible design, has gained rapid adoption across sectors, offering heightened security and transparency. Despite its promises, the rising usage of ...
Cyber security awareness for parents and women perspective

Chowdhury, Adiba Zaman; Adnan, Farhan (Daffodil International University, 2024-07-24)

This abstract outlines a comprehensive approach to fostering cybersecurity awareness tailored specifically for parents' and women' in Bangladesh. With the escalating prevalence of cyber threats in the digital age, it has ...
DDOS detection using ensemble techniques in machine learning models with a tailored companion tool for cyber security analysts

Tuba, Sidratul Muntaha (Daffodil International University, 2024-07-13)

With the increasing occurrence and complexity of cyber-threats, there is a need today to make use of highly performant and robust detection tools for advanced cyber-attacks such as Distributed Denial of Service (DDoS) ...
Detection of phishing URLs: a machine learning approach

Ahmed, Shakib (Daffodil International University, 2024-01-13)

Phishing attacks represent one of the most prominent cybercrimes today, their main aim is illicitly acquiring sensitive information such as passwords, user names, email bank details, and credit card information. Their ...
Enhancing mobile security through threat detection and classification of malware using machine learning algorithm

Khan, Md. Safiatul Islam; Sami, Md. Abu Saleh (Daffodil International University, 2024-07-13)

Malware, short for malicious software, is designed to disrupt the normal operation of a computer or mobile device, acquire confidential information, and fraudulently gain access to secure computer networks. With mobile ...
Impact of Ransomware on IoT Network Security: Analysis and Defense Mechanisms

Rahman, Md. Ridwan; Chowdhury, Hemanta Roy (Daffodil International University, 2025-09-17)

The sudden proliferation of the Internet of Things (IoT) has brought more convenience and functionality than ever before to healthcare, education, industry, and other aspects of life; it has also created major cybersecurity ...
Improving Phishing Detection Systems Using Kolmogorov-Arnold Networks

Islam, Efadul (Daffodil International University, 2025-05-14)

The phishing activity of cybercrimes accounts to about 30% and is a great threat as over 240,000 cases were documented in 2020 only. Generally, these come in the form of false emails and websites, which aim at stealing ...
Intelligence for Deepfake Detection: An Experimental Measure to Combat Rising Cyber Threat

Islam, Md. Raisul; Rakib, Md. Aminul Islam (Daffodil International University, 2024-07-24)

Deepfake detection technology primarily combines artificial intelligence and machine learning, including deep learning techniques such as Multi-layer Perceptrons (MLP), Convolutional Neural Networks (CNN), and EfficientNet ...
A Machine learning approach to detect intrusion

Shaon, Md. Shahriar Parvez (Daffodil International University, 2024-01-25)

The rapid growth of interconnected digital device and the advancement of technology, the data security become an issue now a days. This leads various type of cyberattacks. In order to detect and effectively analyze ...
A machine learning approach to detect intrusion

Shaon, Md. Shahriar Parvez (Daffodil International University, 2024-01-24)

The rapid growth of interconnected digital device and the advancement of technology, the data security become an issue now a days. This leads various type of cyberattacks. In order to detect and effectively analyze ...
Machine Learning Approaches for Detecting and Mitigating Cybersecurity Threats.

Zeem, Md. Mosaddek Islam (Daffodil International University, 2024-07-24)

Machine learning is super important in cybersecurity. The main goal of using machine learning in cybersecurity is to improve how we detect malware. This makes the process doable, scalable, and way more effective than ...
Malware Classification Using CNN Model:

Ahmmed, Iram (Daffodil International University, 2024-07-24)

The goal of this research is to improve malware classification in the rapidly evolving field of cybersecurity by applying state-of-the-art deep learning models, namely ResNet-50 v2, InceptionV3, VGG16, and DenseNet-121. ...
A novel approach to phishing detection and prevention using URL features and machine learning techniques

Haque, S. M. Mahamudul (Daffodil International University, 2024-01-01)

Phishing attacks have emerged as a prevalent method hackers employ to deceive users and get unauthorized access to their personal information. These attacks aim to deceive users into revealing sensitive information, such ...
A novel approach to phishing detection and prevention using URL features and machine learning techniques

Haque, S. M. Mahamudul (Daffodil International University, 2024-01-25)

Phishing attacks have emerged as a prevalent method hackers employ to deceive users and get unauthorized access to their personal information. These attacks aim to deceive users into revealing sensitive information, such ...
Static Malware Detection Using Machine Learning: A Feature-Based Approach

Islam, Ariful (Daffodil International University, 2025-09-17)

Malware represents a serious existential threat to digital security because adversaries are now using obfuscation, polymorphism, and encryption to evade the use of conventional signature-based detection systems. To surmount ...

Browsing Project Report by Subject "Cybersecurity"

Browsing Project Report by Subject "Cybersecurity"

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