Salvatore J. Stolfo - researchr alias

researchr

You are not signed in
Sign in
Sign up

2011

Decoy Document Deployment for Effective Masquerade Attack DetectionMalek Ben Salem, Salvatore J. Stolfo. dimva 2011: 35-54 [doi]

2010

Automating the injection of believable decoys to detect snoopingBrian M. Bowen, Vasileios P. Kemerlis, Pratap V. Prabhu, Angelos D. Keromytis, Salvatore J. Stolfo. wisec 2010: 81-86 [doi]

BotSwindler: Tamper Resistant Injection of Believable Decoys in VM-Based Hosts for Crimeware DetectionBrian M. Bowen, Pratap V. Prabhu, Vasileios P. Kemerlis, Stelios Sidiroglou, Angelos D. Keromytis, Salvatore J. Stolfo. raid 2010: 118-137 [doi]

Erratum to: A link mining algorithm for earnings forecast and tradingGermán Creamer, Salvatore J. Stolfo. datamine, 21(3):542, 2010. [doi]

A quantitative analysis of the insecurity of embedded network devices: results of a wide-area scanAng Cui, Salvatore J. Stolfo. acsac 2010: 97-106 [doi]

Ethics in Security Vulnerability ResearchAndrea M. Matwyshyn, Ang Cui, Angelos D. Keromytis, Salvatore J. Stolfo. ieeesp, 8(2):67-72, 2010. [doi]

On the infeasibility of modeling polymorphic shellcode - Re-thinking the role of learning in intrusion detection systemsYingbo Song, Michael E. Locasto, Angelos Stavrou, Angelos D. Keromytis, Salvatore J. Stolfo. ml, 81(2):179-205, 2010. [doi]

Privacy-Preserving Sharing of Sensitive InformationSalvatore J. Stolfo, Gene Tsudik. ieeesp, 8(4):16-17, 2010. [doi]

2009

Designing Host and Network Sensors to Mitigate the Insider ThreatBrian M. Bowen, Malek Ben Salem, Shlomo Hershkop, Angelos D. Keromytis, Salvatore J. Stolfo. ieeesp, 7(6):22-29, 2009. [doi]

Baiting Inside Attackers Using Decoy DocumentsBrian M. Bowen, Shlomo Hershkop, Angelos D. Keromytis, Salvatore J. Stolfo. securecomm 2009: 51-70 [doi]

A link mining algorithm for earnings forecast and tradingGermán Creamer, Salvatore J. Stolfo. datamine, 18(3):419-445, 2009. [doi]

Adaptive Anomaly Detection via Self-calibration and Dynamic UpdatingGabriela F. Cretu-Ciocarlie, Angelos Stavrou, Michael E. Locasto, Salvatore J. Stolfo. raid 2009: 41-60 [doi]

Brave New World: Pervasive Insecurity of Embedded Network DevicesAng Cui, Yingbo Song, Pratap V. Prabhu, Salvatore J. Stolfo. raid 2009: 378-380 [doi]

BARTER: Behavior Profile Exchange for Behavior-Based Admission and Access Control in MANETsVanessa FrÃas-MartÃnez, Salvatore J. Stolfo, Angelos D. Keromytis. iciss 2009: 193-207 [doi]

A Network Access Control Mechanism Based on Behavior ProfilesVanessa FrÃas-MartÃnez, Joseph Sherrick, Salvatore J. Stolfo, Angelos D. Keromytis. acsac 2009: 3-12 [doi]

Addressing the Insider ThreatShari Lawrence Pfleeger, Salvatore J. Stolfo. ieeesp, 7(6):10-13, 2009. [doi]

Spectrogram: A Mixture-of-Markov-Chains Model for Anomaly Detection in Web TrafficYingbo Song, Angelos D. Keromytis, Salvatore J. Stolfo. ndss 2009: [doi]

Keep your friends close: the necessity for updating an anomaly sensor with legitimate environment changesAngelos Stavrou, Gabriela F. Cretu-Ciocarlie, Michael E. Locasto, Salvatore J. Stolfo. ccs 2009: 39-46 [doi]

2008

2007

2006

2005

Extracting context to improve accuracy for HTML content extractionSuhit Gupta, Gail E. Kaiser, Salvatore J. Stolfo. WWW 2005: 1114-1115 [doi]

Combining email models for false positive reductionShlomo Hershkop, Salvatore J. Stolfo. kdd 2005: 98-107 [doi]

FLIPS: Hybrid Adaptive Intrusion PreventionMichael E. Locasto, Ke Wang, Angelos D. Keromytis, Salvatore J. Stolfo. raid 2006: 82-101 [doi]

An Email Worm Vaccine ArchitectureStelios Sidiroglou, John Ioannidis, Angelos D. Keromytis, Salvatore J. Stolfo. ispec 2005: 97-108 [doi]

A comparative evaluation of two algorithms for Windows Registry Anomaly DetectionSalvatore J. Stolfo, Frank Apap, Eleazar Eskin, Katherine Heller, Shlomo Hershkop, Andrew Honig, Krysta Marie Svore. jcs, 13(4):659-693, 2005. [doi]

Email mining toolkit supporting law enforcement forensic analysesSalvatore J. Stolfo, Shlomo Hershkop. DG.O 2005: 221-222 [doi]

Anomaly Detection in Computer Security and an Application to File System AccessesSalvatore J. Stolfo, Shlomo Hershkop, Linh H. Bui, Ryan Ferster, Ke Wang. ismis 2005: 14-28 [doi]

Anomalous Payload-Based Worm Detection and Signature GenerationKe Wang, Gabriela F. Cretu, Salvatore J. Stolfo. raid 2006: 227-246 [doi]

2004

2003

2002

Detecting Malicious Software by Monitoring Anomalous Windows Registry AccessesFrank Apap, Andrew Honig, Shlomo Hershkop, Eleazar Eskin, Salvatore J. Stolfo. raid 2002: 36-53 [doi]

A Fully Distributed Framework for Cost-Sensitive Data MiningWei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo. icdcs 2002: 445-446 [doi]

A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and BenefitsWei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo. sdm 2002: [doi]

Ensemble-based Adaptive Intrusion DetectionWei Fan, Salvatore J. Stolfo. sdm 2002: [doi]

Progressive ModelingWei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, Salvatore J. Stolfo. icdm 2002: 163-170 [doi]

Toward Cost-Sensitive Modeling for Intrusion Detection and ResponseWenke Lee, Wei Fan, Matthew Miller, Salvatore J. Stolfo, Erez Zadok. jcs, 10(1/2):5-22, 2002.

Towards the Digital Government of the 21st CenturyHerbert Schorr, Salvatore J. Stolfo. DG.O 2002: [doi]

2001

Using Artificial Anomalies to Detect Unknown and Known Network IntrusionsWei Fan, Matthew Miller, Salvatore J. Stolfo, Wenke Lee, Philip K. Chan. icdm 2001: 123-130 [doi]

Cost Complexity-Based Pruning of Ensemble ClassifiersAndreas L. Prodromidis, Salvatore J. Stolfo. kais, 3(4):449-469, 2001. [doi]

MEF: Malicious Email Filter - A UNIX Mail Filter That Detects Malicious Windows ExecutablesMatthew G. Schultz, Eleazar Eskin, Erez Zadok, Manasi Bhattacharyya, Salvatore J. Stolfo. usenix 2001: 245-252 [doi]

Data Mining Methods for Detection of New Malicious ExecutablesMatthew G. Schultz, Eleazar Eskin, Erez Zadok, Salvatore J. Stolfo. sp 2001: 38-49 [doi]

Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS ProjectSalvatore J. Stolfo, Wenke Lee, Philip K. Chan, Wei Fan, Eleazar Eskin. SIGMOD, 30(4):5-14, 2001. [doi]

2000

A Multiple Model Cost-Sensitive Approach for Intrusion DetectionWei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew Miller. ecml 2000: 142-153 [doi]

A framework for constructing features and models for intrusion detection systemsWenke Lee, Salvatore J. Stolfo. tissec, 3(4):227-261, 2000. [doi]

Adaptive Intrusion Detection: A Data Mining ApproachWenke Lee, Salvatore J. Stolfo, Kui W. Mok. air, 14(6):533-567, 2000.

A Data Mining and CIDF Based Approach for Detecting Novel and Distributed IntrusionsWenke Lee, Rahul A. Nimbalkar, Kam K. Yee, Sunil B. Patil, Pragneshkumar H. Desai, Thuan T. Tran, Salvatore J. Stolfo. raid 2000: 49-65 [doi]

Towards the digital government of the 21:::st::: century: a report from the workshop on research and development opportunities in federal information servicesHerbert Schorr, Salvatore J. Stolfo. DG.O 2000: [doi]

1999

Guest Editors IntroductionPhilip K. Chan, Salvatore J. Stolfo, David Wolpert. ml, 36(1-2):5-7, 1999.

The Application of AdaBoost for Distributed, Scalable and On-Line LearningWei Fan, Salvatore J. Stolfo, Junxin Zhang. kdd 1999: 362-366 [doi]

AdaCost: Misclassification Cost-Sensitive BoostingWei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip K. Chan. icml 1999: 97-105

Automated Intrusion Detection Using NFR: Methods and ExperiencesWenke Lee, Christopher T. Park, Salvatore J. Stolfo. id 1999: 63-72 [doi]

Combining Knowledge Discovery and Knowledge Engineering to Build IDSsWenke Lee, Salvatore J. Stolfo. raid 1999: [doi]

A Data Mining Framework for Building Intrusion Detection ModelsWenke Lee, Salvatore J. Stolfo, Kui W. Mok. sp 1999: 120-132 [doi]

Mining in a Data-Flow Environment: Experience in Network Intrusion DetectionWenke Lee, Salvatore J. Stolfo, Kui W. Mok. kdd 1999: 114-124 [doi]

Minimal Cost Complexity Pruning of Meta-ClassifiersAndreas L. Prodromidis, Salvatore J. Stolfo. AAAI 1999: 979

1998

Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud DetectionPhilip K. Chan, Salvatore J. Stolfo. kdd 1998: 164-168

Database Research at Columbia UniversityShih-Fu Chang, Luis Gravano, Gail E. Kaiser, Kenneth A. Ross, Salvatore J. Stolfo. SIGMOD, 27(3):75-80, 1998. [doi]

AI Approaches to Fraud Detection and Risk ManagementTom Fawcett, Ira J. Haimowitz, Foster J. Provost, Salvatore J. Stolfo. aim, 19(2):107-108, 1998.

Real-world Data is Dirty: Data Cleansing and The Merge/Purge ProblemMauricio A. Hernández, Salvatore J. Stolfo. datamine, 2(1):9-37, 1998.

Mining Audit Data to Build Intrusion Detection ModelsWenke Lee, Salvatore J. Stolfo, Kui W. Mok. kdd 1998: 66-72

Mining Databases with Different Schemas: Integrating Incompatible ClassifiersAndreas L. Prodromidis, Salvatore J. Stolfo. kdd 1998: 314-318

A Digital Government for the 21st CenturyHerbert Schorr, Salvatore J. Stolfo. CACM, 41(11):15-19, 1998.

1997

On the Accuracy of Meta-Learning for Scalable Data MiningPhilip K. Chan, Salvatore J. Stolfo. jiis, 8(1):5-28, 1997.

JAM: Java Agents for Meta-Learning over Distributed DatabasesSalvatore J. Stolfo, Andreas L. Prodromidis, Shelley Tselepis, Wenke Lee, Dave W. Fan, Philip K. Chan. kdd 1997: 74-81

1996

Sharing Learned Models among Remote Database Partitions by Local Meta-LearningPhilip K. Chan, Salvatore J. Stolfo. kdd 1996: 2-7

1995

1994

Predictive Dynamic Load Balancing of Parallel Hash-Joins Over Heterogeneous Processors in the Presence of Data SkewHasanat M. Dewan, Mauricio A. Hernández, Kui W. Mok, Salvatore J. Stolfo. pdis 1994: 40-49 [doi]

Scalable Parallel and Distributed Expert Database Systems with Predictive Load BalancingHasanat M. Dewan, Salvatore J. Stolfo, Leland Woodbury. jpdc, 22(3):506-522, 1994.

Predictive Dynamic Load Balancing of Parallel and Distributed Rule and Query ProcessingHasanat M. Dewan, Salvatore J. Stolfo, Mauricio A. Hernández, Jae-Jun Hwang. sigmod 1994: 277-288 [doi]

Meta-level Control of Rule Execution in a Parallel and Distributed Expert Database SystemHasanat M. Dewan, Salvatore J. Stolfo. ride 1994: 105-114

Performance of Incremental Update in Database Rule ProcessingDavid Ohsie, Hasanat M. Dewan, Salvatore J. Stolfo, Sushil Da Silva. ride 1994: 10-18

1993

Experiments on Multi-Strategy Learning by Meta-LearningPhilip K. Chan, Salvatore J. Stolfo. CIKM 1993: 314-323 [doi]

Toward Multi-Strategy Parallel & Distributed Learning in Sequence AnalysisPhilip K. Chan, Salvatore J. Stolfo. ismb 1993: 65-73

System Reorganization and Load Balancing of Parallel Database Rule ProcessingHasanat M. Dewan, Salvatore J. Stolfo. ismis 1993: 186-197

Dynamic neighborhood bounding for Monte Carlo simulationJason S. Glazier, Salvatore J. Stolfo. wsc 1993: 466-473 [doi]

1992

Incremental Database Rule Processing In PARADISERHasanat M. Dewan, David Ohsie, Salvatore J. Stolfo, Ouri Wolfson, Sushil Da Silva. jiis, 1(2):177-209, 1992.

Is Production System Match Interesting?Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe. ictai 1992: 2-3

1991

The PARULEL Parallel Rule LanguageSalvatore J. Stolfo, Hasanat M. Dewan, Ouri Wolfson. icpp 1991: 36-45

Incremental Evaluation of Rules and its Relationship to ParallelismOuri Wolfson, Hasanat M. Dewan, Salvatore J. Stolfo, Yechiam Yemini. sigmod 1991: 78-87 [doi]

PreviousNext