Syed M Rahman

CR
h-index13
4papers
66citations
Novelty14%
AI Score25

4 Papers

8.6IVSep 12, 2025
Polarization Denoising and Demosaicking: Dataset and Baseline Method

Muhamad Daniel Ariff Bin Abdul Rahman, Yusuke Monno, Masayuki Tanaka et al.

A division-of-focal-plane (DoFP) polarimeter enables us to acquire images with multiple polarization orientations in one shot and thus it is valuable for many applications using polarimetric information. The image processing pipeline for a DoFP polarimeter entails two crucial tasks: denoising and demosaicking. While polarization demosaicking for a noise-free case has increasingly been studied, the research for the joint task of polarization denoising and demosaicking is scarce due to the lack of a suitable evaluation dataset and a solid baseline method. In this paper, we propose a novel dataset and method for polarization denoising and demosaicking. Our dataset contains 40 real-world scenes and three noise-level conditions, consisting of pairs of noisy mosaic inputs and noise-free full images. Our method takes a denoising-then-demosaicking approach based on well-accepted signal processing components to offer a reproducible method. Experimental results demonstrate that our method exhibits higher image reconstruction performance than other alternative methods, offering a solid baseline.

2.3APJun 7, 2018
A Study of EV BMS Cyber Security Based on Neural Network SOC Prediction

Syed Rahman, Haneen Aburub, Yemeserach Mekonnen et al.

Recent changes to greenhouse gas emission policies are catalyzing the electric vehicle (EV) market making it readily accessible to consumers. While there are challenges that arise with dense deployment of EVs, one of the major future concerns is cyber security threat. In this paper, cyber security threats in the form of tampering with EV battery's State of Charge (SOC) was explored. A Back Propagation (BP) Neural Network (NN) was trained and tested based on experimental data to estimate SOC of battery under normal operation and cyber-attack scenarios. NeuralWare software was used to run scenarios. Different statistic metrics of the predicted values were compared against the actual values of the specific battery tested to measure the stability and accuracy of the proposed BP network under different operating conditions. The results showed that BP NN was able to capture and detect the false entries due to a cyber-attack on its network.

5.7CRNov 30, 2015
Complete Network Security Protection for SME's within Limited Resources

Margie Todd, Shawon Rahman

The purpose of this paper is to present a comprehensive budget conscious security plan for smaller enterprises that lack security guidelines.The authors believe this paper will assist users to write an individualized security plan. In addition to providing the top ten free or affordable tools get some sort of semblance of security implemented, the paper also provides best practices on the topics of Authentication, Authorization, Auditing, Firewall, Intrusion Detection & Monitoring, and Prevention. The methods employed have been implemented at Company XYZ referenced throughout

3.2CRNov 30, 2015
Exploring Historical and Emerging Phishing Techniques and Mitigating the Associated Security Risks

Marc Rader, Shawon Rahman

Organizations invest heavily in technical controls for their Information Assurance (IA) infrastructure. These technical controls mitigate and reduce the risk of damage caused by outsider attacks. Most organizations rely on training to mitigate and reduce risk of non-technical attacks such as social engineering. Organizations lump IA training into small modules that personnel typically rush through because the training programs lack enough depth and creativity to keep a trainee engaged. The key to retaining knowledge is making the information memorable. This paper describes common and emerging attack vectors and how to lower and mitigate the associated risks.