activity
20192026
most citedIntelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Techreport: Evaluating Tor-based Location Privacy for Ethereum Validators

Muhammad Umar Janjua, Akshaya Mani, Uğur Şen +1

Privacy and anonymity of validators, especially regarding IP address linkability, are essential to protect the Ethereum network from various attacks. Network-level attacks, such as…

cs.DL2022★ 1 cited

Assessment of Sustainable Funding Impact by Exploiting Research Performance Indicators and Semantic Techniques

Muhammad Umar, Saeed-Ul Hassan

This paper deploys bibliometric indices and semantic techniques for understanding to what extent research grants are likely to impact publications, research direction, and co-autho…

cs.NI2020★ 1 cited

Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning

Inaam Ilahi, Muhammad Usama, Muhammad Omer Farooq +2

The anticipated increase in the count of IoT devices in the coming years motivates the development of efficient algorithms that can help in their effective management while keeping…

cs.LG2020

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Inaam Ilahi, Muhammad Usama, Junaid Qadir +4

Deep Reinforcement Learning (DRL) has numerous applications in the real world thanks to its outstanding ability in quickly adapting to the surrounding environments. Despite its gre…

cs.CR2019

Using Blockchain to Rein in The New Post-Truth World and Check The Spread of Fake News

Adnan Qayyum, Junaid Qadir, Muhammad Umar Janjua +1

In recent years, `fake news' has become a global issue that raises unprecedented challenges for human society and democracy. This problem has arisen due to the emergence of various…