A5054216683- Internet Traffic Analysis and Secure E-voting
- Demographic Trends and Gender Preferences
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Blockchain Technology Applications and Security
- Advanced biosensing and bioanalysis techniques
- Census and Population Estimation
- Cryptography and Data Security
- Wireless Body Area Networks
- Molecular Communication and Nanonetworks
Monash University
2020-2024
Sharif University of Technology
2020
Majority voting is a simple mathematical function that returns the most frequently occurring value within given set. As popular decision fusion technique (DFT), majority (MVF) finds applications in resolving conflicts, where several independent voters report their opinions on classification problem. Despite its importance and various ensemble learning, data crowdsourcing, remote sensing, oracles for blockchains, accuracy of MVF general multiclass problem has remained unknown. In this...
In this letter, we propose a novel communication scheme for macro-scale molecular timing channels (MTCs), where the information carrier is release time of molecules. Next, symbol constellation, receiver's sampling time, and decision rule are designed analyzed. We further computationally simple yet optimal receiver. Our numerical results show that MTC an approach achieving ultra-reliable communication.
CryptoNote is a privacy-focused blockchain protocol. Currently, more than 10 different cryptocurrencies including Monero, popular cryptocurrency with 1-year average market cap of 2 billion USD, have been developed based on the CryptoNote's obscures connection between inputs and outputs transaction by adding decoy inputs. In this paper, we introduce probabilistic attacks to untraceability which substantially degrades level privacy CryptoNote-style blockchains. We analyze effectiveness...
Majority voting is a simple mathematical function that returns the value appears most often in set. As popular decision fusion technique, majority (MVF) finds applications resolving conflicts, where number of independent voters report their opinions on classification problem. Despite its importance and various ensemble learning, data crowd-sourcing, remote sensing, oracles for blockchains, accuracy MVF general multi-class problem has remained unknown. In this paper, we derive new upper bound...