All Outputs (4)

AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS (2022)
Journal Article
Aribilola, I., Asghar, M., Kanwal, N., Ansari, M., & Lee, B. (2022). AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS. https://doi.org/10.1109/issc55427.2022.9826141

The surveillance videos taken from dynamic cam-eras are susceptible to multiple security threats like replay attacks, man-in-the-middle attacks, pixel correlation attacks etc. Using unsupervised learning, it is a challenge to detect objects in such s... Read More about AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS.

SoK: Context and Risk Aware Access Control for Zero Trust Systems (2022)
Journal Article
Newe, T., Lee, B., Xiao, S., Ye, Y., & Kanwal, N. (2022). SoK: Context and Risk Aware Access Control for Zero Trust Systems. Security and Communication Networks, https://doi.org/10.1155/2022/7026779

Evolving computing technologies such as cloud, edge computing, and the Internet of Things (IoT) are creating a more complex, dispersed, and dynamic enterprise operational environment. New security enterprise architectures such as those based on the c... Read More about SoK: Context and Risk Aware Access Control for Zero Trust Systems.

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming (2022)
Journal Article
Shifa, A., Abdullah, S., Kanwal, N., Fleury, M., Gillani, S., & Asghar, M. (2022). VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming. Entropy, 755 - 755. https://doi.org/10.3390/e24060755

Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE). To increase the available bandwidth, 5G network designers have incorporated Cog... Read More about VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming.

A Survey of Modern Deep Learning based Object Detection Models (2022)
Journal Article
Zaidi, S., Ansari, M., Aslam, A., Kanwal, N., Asghar, M., & Lee, B. (2022). A Survey of Modern Deep Learning based Object Detection Models. Digital Signal Processing, 1-19. https://doi.org/10.1016/j.dsp.2022.103514

Object Detection is the task of classification and
localization of objects in an image or video. It has gained
prominence in recent years due to its widespread applications.
This article surveys recent developments in deep learning based
object d... Read More about A Survey of Modern Deep Learning based Object Detection Models.