37 citations · 113 across the 22 of their papers we have counts for
7 papers · 1 filter
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Vahid Behzadan, Arslan Munir
Recent developments have established the vulnerability of deep Reinforcement Learning (RL) to policy manipulation attacks via adversarial perturbations. In this paper, we investiga…
A Comparative Quantitative Analysis of Contemporary Big Data Clustering Algorithms for Market Segmentation in Hospitality Industry
Avishek Bose, Arslan Munir, Neda Shabani
The hospitality industry is one of the data-rich industries that receives huge Volumes of data streaming at high Velocity with considerably Variety, Veracity, and Variability. Thes…
Analysis of Big Data Maturity Stage in Hospitality Industry
Neda Shabani, Arslan Munir, Avishek Bose
Big data analytics has an extremely significant impact on many areas in all businesses and industries including hospitality. This study aims to guide information technology (IT) pr…
Models and Framework for Adversarial Attacks on Complex Adaptive Systems
Vahid Behzadan, Arslan Munir
We introduce the paradigm of adversarial attacks that target the dynamics of Complex Adaptive Systems (CAS). To facilitate the analysis of such attacks, we present multiple approac…
Technology in Hospitality Industry: Prospects and Challenges
Prasanna Kansakar, Arslan Munir, Neda Shabani
The leisure and hospitality industry is one of the driving forces of the global economy. The widespread adoption of new technologies in this industry over recent years has fundamen…
IFCIoT: Integrated Fog Cloud IoT Architectural Paradigm for Future Internet of Things
Arslan Munir, Prasanna Kansakar, Samee U. Khan
We propose a novel integrated fog cloud IoT (IFCIoT) architectural paradigm that promises increased performance, energy efficiency, reduced latency, quicker response time, scalabil…