Cybersecurity threats have become more developed and are increasing with the growing adoption of IoT devices. So it is necessary to develop the effective Intrusion Detection Systems (IDS). This research focuses on designing ...

The development of quantum computers is a serious threat to traditional cryptography methods that use well-known algorithms like RSA and ECC. These algorithms are secure from classical computers, but they rely on mathematical ...

Digital forensics plays a crucial role in modern crime investigations, requiring precise methods for assessing, acquiring, examining, and documenting digital evidence. USB storage devices are widely used due to their ...

The emergence of smart health technologies has brought numerous benefits in healthcare services such as remote patient monitoring, personalized treatment, and early disease detection. However, these technologies also pose ...

Uplink Orthogonal Frequency Division Multiple Access (OFDMA) Random Access (UORA) is prime trademark of IEEE 802.11ax protocol and meritoriously used in Wireless Local Area Network (WLANs). UORA working is based on two ...

The growth of 5G-based networks is expanding in all fields. It will have a very important role in our daily life in the near future. It offers much higher speed than previous technology and connectivity. Because of its ...

Software Defined Networking (SDN) decouples the control and data plane. SDN approach enables the network administrator to respond quickly to the essential requirements from a centralized controller. SDN provides a novel ...

With the rapid increase in smartphone users, Android has become the most widely used Operating System in mobile devices. Due to its popularity, Android is the prime target for malicious applications, which poses a serious ...

The Domain names and URLs are the building block of the internet but are being misused by cybercriminals to spread malware and launch attacks. The malicious URLs and Domains can provide a macro image of malicious activities. ...

Both the industrial and academic communities have emphasized sentiment analysis methodologies for detecting illegal and hateful content from social media sites such as Twitter, particularly when applied to tweets. Machine ...