Prahlad Fogla
Computer Networks and Communications · 2003–2009
A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 47 citations into it; #1,281 of 9,886 by trust here, #1,147 by citations
- Artificial Intelligence — 41 citations into it; #7,474 of 35,345 by trust here, #10,065 by citations
- Signal Processing — 39 citations into it; #1,185 of 7,572 by trust here, #1,033 by citations
- Information Systems — 17 citations into it
- Privacy & Security — 8 citations into it; #128 of 709 by trust here, #150 by citations
- Safety, Robustness & Interpretability — 6 citations into it; #720 of 2,251 by trust here, #1,496 by citations
Whom Prahlad Fogla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher Krügel
- Ke Wang
- C. Kaufman
- David A. Wagner
- Matthew V. Mahoney
- Engin Kirda
- Carsten Sinz
- Salvatore J. Stolfo
- Vladimir Naumovich Vapnik
- Thorsten Joachims
Who trusts Prahlad Fogla overall
- Pavel Laskov
- Battista Biggio
- Marius Kloft
- Nedim Srndic
- Blaine Nelson
- Charles Smutz
- Roberto Perdisci
- Christian Wressnegger
- Angelos Stavrou
- Joseph Gardiner
Papers from Prahlad Fogla's perspective
Ordered by how strongly the researchers Prahlad Fogla trusts endorse each paper. Same corpus, a different order for every researcher.
- A sense of self for Unix processes
- Anomalous Payload-Based Network Intrusion Detection
- Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software (Network and Distributed System Security Symposium)
- Service specific anomaly detection for network intrusion detection (ACM Symposium on Applied Computing)
- Address Obfuscation: An Efficient Approach to Combat a Broad Range of Memory Error Exploits (USENIX Security Symposium)
- Testing Intrusion detection systems (ACM Transactions on Privacy and Security)
- Detecting intrusions using system calls: alternative data models
- Network Intrusion Detection: Evasion, Traffic Normalization, and End-to-End Protocol Semantics (USENIX Security Symposium)
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Statistical learning theory
Their papers
- Evading network anomaly detection systems: formal reasoning and practical techniques (2006) — 197 citations
- Misleading worm signature generators using deliberate noise injection (2006) — 207 citations
- McPAD: A multiple classifier system for accurate payload-based anomaly detection (2009) — 293 citations
- Polymorphic Blending Attacks (2006) — 292 citations
- Anomaly detection using call stack information (2003) — 443 citations