Standout Papers

Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and... 2019 2026 2021 2023 295
  1. Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges (2019)
    Giuseppe Aceto, Domenico Ciuonzo et al. IEEE Transactions on Network and Service Management

Immediate Impact

57 standout
Sub-graph 1 of 22

Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
2025 Standout
3 intermediate papers

Works of Antonio Montieri being referenced

Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness
2023
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
2019 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
Antonio Montieri 1079 999 388 30 1.6k
Shen Su 695 611 253 56 1.5k
Priyadarsi Nanda 1267 794 421 64 1.6k
Vijay Sivaraman 1107 530 324 78 1.6k
Gulshan Kumar 470 602 307 33 1.4k
Seyit Camtepe 891 1103 372 76 2.1k
Manuel López‐Martín 830 788 448 24 1.2k
Tao Peng 589 882 247 35 1.3k
Paul D. Yoo 612 590 304 62 1.7k
Anca Delia Jurcut 1052 638 392 70 1.5k
Ankit Thakkar 905 942 552 37 1.9k

All Works

Loading papers...

Rankless by CCL
2026