Architecture and Development of a Comprehensive Software-based IoT Security Auditing Framework: A Single System Simulation Model

Syeda Alfiya Asif, Harshith H., A. Abirami — Mon, 11 May 2026 00:00:00 +0000

IoT devices have become extensively utilized in the dynamic internet landscape. While there has been a rapid expansion in the deployment of IoT technology, proper security measures have failed to keep pace. This study intends to identify the security vulnerabilities in the IoT technology using a software-based auditing approach. This study seeks to analyze the effectiveness of real-time security scanning and password entropy auditing through the use of a single system simulation (SSS) model. In this research, a simulated environment will be established to test the security vulnerabilities of the IoT technology using a software tool based on Python and FastAPI for identifying vulnerable network services like FTP, SSH and HTTP. The results reveal that non-intrusive scanning proves highly effective in the detection of insecure network services and ports. Moreover, it can be observed that password entropy auditing, which includes password strength analysis, proves to be a useful method for detecting weak passwords that may be subject to dictionary attacks. It can also be noted that the extensive adoption of secure protocols and hard passwords must be ensured at all costs regarding IoT technology. This study not only highlights the importance of ethical hacking for education and network security but also sheds light on the IoT vulnerabilities.

Rendering Techniques through Images in Computer Graphics

Goldi Soni, Abhay Pandey, Akshat Singh Arora — Mon, 01 Jun 2026 00:00:00 +0000

The field of computer graphics is currently undergoing a transformative shift from traditional explicit geometric modeling toward data-driven neural implicit representations. This review paper provides an extensive and structured survey of contemporary image-based rendering (IBR) techniques, with a primary focus on the evolution and diversification of neural radiance fields (NeRF). Historically, IBR relied on complex geometric proxies, multi-view stereo, and depth-map interpolation, which frequently struggled with non-Lambertian surfaces, transparency, and thin structures. The emergence of coordinate-based neural networks has redefined this paradigm by encoding 3D scenes as continuous volumetric functions of spatial position and viewing direction. This study presents a meticulous analysis of thirty influential research contributions that have shaped the modern landscape of neural rendering. These works are categorized based on their technical innovations, including multi-scale anti-aliasing, hash-grid acceleration, tensor factorization for memory efficiency, and the modeling of non-rigid deformations in dynamic environments. By synthesizing findings from these thirty pivotal papers, this review highlights significant milestones in achieving photorealistic novel view synthesis, reducing computational latency for real-time applications, and automating the reconstruction of large-scale outdoor scenes. The study concludes by situating these advancements within the broader context of AR/VR, digital twins, and autonomous systems, offering a comprehensive look at how neural rendering has established a new gold standard for immersive visual computing.

Journal of Cyber Security in Computer System

Architecture and Development of a Comprehensive Software-based IoT Security Auditing Framework: A Single System Simulation Model

Rendering Techniques through Images in Computer Graphics