| Graph-based malware detection using dynamic analysis B Anderson, D Quist, J Neil, C Storlie, T Lane Journal in computer Virology 7, 247-258, 2011 | 369 | 2011 |
| Eliminating steganography in Internet traffic with active wardens G Fisk, M Fisk, C Papadopoulos, J Neil Information Hiding: 5th International Workshop, IH 2002 Noordwijkerhout, The …, 2003 | 269 | 2003 |
| Scan statistics for the online detection of locally anomalous subgraphs J Neil, C Hash, A Brugh, M Fisk, CB Storlie Technometrics 55 (4), 403-414, 2013 | 158 | 2013 |
| Authentication graphs: Analyzing user behavior within an enterprise network AD Kent, LM Liebrock, JC Neil Computers & Security 48, 150-166, 2015 | 92 | 2015 |
| Anomaly detection to identify coordinated group attacks in computer networks JC Neil, M Turcotte, NA Heard US Patent App. 14/383,024, 2015 | 77 | 2015 |
| Attack chain detection J Sexton, C Storlie, J Neil Statistical Analysis and Data Mining: The ASA Data Science Journal 8 (5-6 …, 2015 | 60 | 2015 |
| Detecting cyber attacks using anomaly detection with explanations and expert feedback MA Siddiqui, JW Stokes, C Seifert, E Argyle, R McCann, J Neil, J Carroll ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 51 | 2019 |
| Path scanning for the detection of anomalous subgraphs and use of DNS requests and host agents for anomaly/change detection and network situational awareness JC Neil, ME Fisk, AW Brugh, CL Hash, CB Storlie, B Uphoff, A Kent US Patent 9,560,065, 2017 | 51 | 2017 |
| Connected components and credential hopping in authentication graphs A Hagberg, N Lemons, A Kent, J Neil 2014 Tenth International Conference on Signal-Image Technology and Internet …, 2014 | 42 | 2014 |
| A large-scale database for graph representation learning S Freitas, Y Dong, J Neil, DH Chau arXiv preprint arXiv:2011.07682, 2020 | 39 | 2020 |
| Dynamic networks and cyber-security NM Adams, NA Heard World Scientific, 2016 | 35 | 2016 |
| Using new edges for anomaly detection in computer networks JC Neil US Patent 9,038,180, 2015 | 32 | 2015 |
| Detecting anomalous behavior via user authentication graphs A Kent, J Neil, L Liebrock US Patent 10,015,175, 2018 | 28 | 2018 |
| Improving antivirus accuracy with hypervisor assisted analysis D Quist, L Liebrock, J Neil Journal in computer virology 7, 121-131, 2011 | 28 | 2011 |
| Living-off-the-land command detection using active learning T Ongun, JW Stokes, JB Or, K Tian, F Tajaddodianfar, J Neil, C Seifert, ... Proceedings of the 24th International Symposium on Research in Attacks …, 2021 | 22 | 2021 |
| Path scanning for the detection of anomalous subgraphs and use of dns requests and host agents for anomaly/change detection and network situational awareness JC Neil, ME Fisk, AW Brugh, CL Hash, CB Storlie, B Uphoff, A Kent US Patent App. 16/278,225, 2019 | 21 | 2019 |
| Towards improved detection of attackers in computer networks: New edges, fast updating, and host agents J Neil, B Uphoff, C Hash, C Storlie 2013 6th International Symposium on Resilient Control Systems (ISRCS), 218-224, 2013 | 18 | 2013 |
| Anomaly detection in large-scale networks with latent space models W Lee, TH McCormick, J Neil, C Sodja, Y Cui Technometrics 64 (2), 241-252, 2022 | 17 | 2022 |
| D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks S Freitas, A Wicker, DH Chau, J Neil Proceedings of the 2020 SIAM International Conference on Data Mining, 541-549, 2020 | 17 | 2020 |
| Link prediction in dynamic networks using random dot product graphs F Sanna Passino, AS Bertiger, JC Neil, NA Heard Data Mining and Knowledge Discovery 35 (5), 2168-2199, 2021 | 16 | 2021 |
Curtis StorlieMayo ClinicVerified email at mayo.edu
