Angelos Stavrou

Computer Networks and Communications · 2007–2017

A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 52 citations into it; #495 of 9,886 by trust here, #619 by citations
• Artificial Intelligence — 48 citations into it; #9,058 of 35,345 by trust here, #7,531 by citations
• Signal Processing — 46 citations into it; #614 of 7,572 by trust here, #731 by citations
• Information Systems — 25 citations into it; #666 of 8,771 by trust here, #2,667 by citations
• Privacy & Security — 21 citations into it
• Safety, Robustness & Interpretability — 17 citations into it; #383 of 2,251 by trust here, #1,512 by citations
• Evaluation & Benchmarks — 6 citations into it
• Hardware and Architecture — 5 citations into it

Whom Angelos Stavrou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ke Wang
2. Leo Breiman
3. Thomas G. Dietterich
4. Salvatore J. Stolfo
5. Pedro M. Domingos
6. Prahlad Fogla
7. Chih-Jen Lin
8. Pavel Laskov
9. Christopher Krügel
10. Nedim Srndic

Who trusts Angelos Stavrou overall

1. Battista Biggio
2. Davide Maiorca
3. Fabio Roli
4. Arjun Nitin Bhagoji
5. Nedim Srndic
6. Huang Xiao
7. Pavel Laskov
8. Charles Smutz
9. Giorgio Fumera
10. Joseph Gardiner

Papers from Angelos Stavrou's perspective

Ordered by how strongly the researchers Angelos Stavrou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. Anomalous Payload-Based Network Intrusion Detection
3. Evading network anomaly detection systems: formal reasoning and practical techniques
4. Polygraph: automatically generating signatures for polymorphic worms
5. A sense of self for Unix processes
6. ImageNet classification with deep convolutional neural networks
7. Mimicry attacks on host-based intrusion detection systems
8. LIBSVM: A library for support vector machines
9. Service specific anomaly detection for network intrusion detection (ACM Symposium on Applied Computing)
10. Gradient-based learning applied to document recognition

Their papers

• Casting out Demons: Sanitizing Training Data for Anomaly Sensors (2008) — 257 citations
• DDoS in the IoT: Mirai and Other Botnets (2017) — 1,637 citations
• When a Tree Falls: Using Diversity in Ensemble Classifiers to Identify Evasion in Malware Detectors (2016) — 100 citations
• Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset (2016) — 490 citations
• Malicious PDF detection using metadata and structural features (2012) — 307 citations
• Adaptive Anomaly Detection via Self-calibration and Dynamic Updating (2009) — 46 citations
• On the infeasibility of modeling polymorphic shellcode (2007) — 169 citations