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Travis Atkison
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2020 – today
- 2024
- [j13]Andrew Renninger
, Sinan Ameen Noman
Live Intersection Data Acquisition for Traffic Simulators (LIDATS). Sensors 24(11): 3392 (2024) - [c27]Kelvin Ovabor
Exploring Firefly and Greywolf Algorithms for Multi-objective Optimization in Wireless Sensor Networks. ACM Southeast Regional Conference 2024: 241-246 - 2023
- [c26]Chen Wang
Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches. ICAI (2) 2023: 3-13 - 2022
- [j12]Reed Milewicz, Jeffrey C. Carver
A Secure Future for Open-Source Computational Science and Engineering. Comput. Sci. Eng. 24(4): 65-69 (2022) - [i3]Muhammad Sami Irfan, Mizanur Rahman, Travis Atkison, Sagar Dasgupta, Alexander M. Hainen:
Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems. CoRR abs/2211.01845 (2022) - [i2]Reed Milewicz, Jeffrey C. Carver, Samuel Grayson, Travis Atkison:
A Secure Future for Open-Source Computational Science and Engineering. CoRR abs/2211.06343 (2022) - 2021
- [j11]Michael Lee
VANET applications: Past, present, and future. Veh. Commun. 28: 100310 (2021) - [i1]Sagar Dasgupta, Courtland Hollis, Mizanur Rahman, Travis Atkison:
An Innovative Attack Modelling and Attack Detection Approach for a Waiting Time-based Adaptive Traffic Signal Controller. CoRR abs/2108.08627 (2021) - 2020
- [j10]James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen:
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics. Big Data Min. Anal. 3(1): 1-12 (2020) - [j9]Naima Islam
Characterizing co-modality in urban transit systems from a passengers' perspective. Public Transp. 12(2): 405-430 (2020)
2010 – 2019
- 2019
- [c25]Chen Wang, Aibek Musaev, Pezhman Sheinidashtegol, Travis Atkison:
Towards Detection of Abnormal Vehicle Behavior Using Traffic Cameras. BigData 2019: 125-136 - [c24]Michael Lee, Beichen Yang, Travis Atkison:
802.11ac and p in a Simulated VANET Environment. IEEE BigData 2019: 3797-3802 - [c23]Pezhman Sheinidashtegol, Aibek Musaev, Travis Atkison:
Investigating Personally Identifiable Information Posted on Twitter Before and After Disasters. SERVICES 2019: 31-45 - [d1]Mahran Al-Zyoud, Jeffrey C. Carver
Privacy Challenges and Solutions in Smart Health: A Systematic Literature Review Extraction Forms. Zenodo, 2019 - 2018
- [j8]Travis Atkison, Stanislav Ponomarev, Randy K. Smith, Bernard Chen:
Feature Extraction Optimization for Network Intrusion Detection in Control System Networks. Int. J. Netw. Secur. 20(5): 853-861 (2018) - [j7]Md Shariful Haque, Travis Atkison:
A Forensic Enabled Data Provenance Model for Public Cloud. J. Digit. Forensics Secur. Law 13(3): 47-66 (2018) - [c22]Thomas Willingham, Cody Henderson, Blair Kiel, Md Shariful Haque, Travis Atkison:
Testing vulnerabilities in bluetooth low energy. ACM Southeast Regional Conference 2018: 6:1-6:7 - [c21]Vidya Nakade, Aibek Musaev, Travis Atkison:
Preliminary research on thesaurus-based query expansion for Twitter data extraction. ACM Southeast Regional Conference 2018: 14:1-14:4 - [c20]Md Shariful Haque, Jeff Carver, Travis Atkison:
Causes, impacts, and detection approaches of code smell: a survey. ACM Southeast Regional Conference 2018: 25:1-25:8 - 2017
- [j6]Nathan Wallace, Travis Atkison:
On the detection of cyber-events in the grid using PCA. Int. J. Crit. Infrastructures 13(2/3): 96-112 (2017) - [j5]Travis Atkison, Nathan Wallace:
A Power Grid Incident Identification Based on Physically Derived Cyber-Event Detection. J. Digit. Forensics Secur. Law 12(2): 5-18 (2017) - [j4]Bernard Chen, Hai Le, Travis Atkison, Dongsheng Che:
A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges. Trans. Mach. Learn. Data Min. 10(1): 3-24 (2017) - [c19]Sweta Mahaju, Travis Atkison:
Evaluation of Firefox Browser Forensics Tools. ACM Southeast Regional Conference 2017: 5-12 - [c18]Amanda Lee
A Comparison of Fuzzy Hashes: Evaluation, Guidelines, and Future Suggestions. ACM Southeast Regional Conference 2017: 18-25 - [c17]Matthew Leeds, Miclain Keffeler, Travis Atkison:
A Comparison of Features for Android Malware Detection. ACM Southeast Regional Conference 2017: 63-68 - [c16]Arpan Man Sainju
An Experimental Analysis of Windows Log Events Triggered by Malware. ACM Southeast Regional Conference 2017: 195-198 - [c15]Bernard Chen, Krizia Houston Buck, Caleb Lawrence, Christopher Moore, Jeremy Yeatts, Travis Atkison:
Granular computing in wineinformatics. ICNC-FSKD 2017: 1228-1232 - 2016
- [j3]Stanislav Ponomarev, Travis Atkison:
Industrial Control System Network Intrusion Detection by Telemetry Analysis. IEEE Trans. Dependable Secur. Comput. 13(2): 252-260 (2016) - 2014
- [c14]Nathan Wallace, Stanislav Ponomarev, Travis Atkison:
A dimensional transformation scheme for power grid cyber event detection. CISR 2014: 13-16 - [c13]Stanislav Ponomarev, Nathan Wallace, Travis Atkison:
Detection of SSH host spoofing in control systems through network telemetry analysis. CISR 2014: 21-24 - 2013
- [c12]Nathan Wallace, Travis Atkison:
Observing industrial control system attacks launched via metasploit framework. ACM Southeast Regional Conference 2013: 22:1-22:4 - [c11]James Poore, Juan Carlos Flores Cruz, Travis Atkison:
Evolution of digital forensics in virtualization by using virtual machine introspection. ACM Southeast Regional Conference 2013: 30:1-30:6 - [c10]Sean Semple, Stanislav Ponomarev, Jan Durand, Travis Atkison:
Applying static analysis to high-dimensional malicious application detection. ACM Southeast Regional Conference 2013: 31:1-31:5 - [c9]Stanislav Ponomarev, Jan Durand, Nathan Wallace, Travis Atkison:
Evaluation of Random Projection for Malware Classification. SERE (Companion) 2013: 68-73 - 2012
- [j2]Peng Shao, Travis Atkison, Nicholas A. Kraft, Randy K. Smith:
Combining lexical and structural information for static bug localisation. Int. J. Comput. Appl. Technol. 44(1): 61-71 (2012) - [c8]Juan Carlos Flores Cruz, Travis Atkison:
Evolution of traditional digital forensics in virtualization. ACM Southeast Regional Conference 2012: 18-23 - [c7]Jan Durand, Travis Atkison:
Applying random projection to the classification of malicious applications using data mining algorithms. ACM Southeast Regional Conference 2012: 286-291 - 2011
- [j1]Jan Durand, Juan Flores, Travis Atkison, Nicholas A. Kraft, Randy K. Smith:
Using Executable Slicing to Improve Rogue Software Detection Algorithms. Int. J. Secur. Softw. Eng. 2(2): 53-64 (2011) - [c6]Jan Durand, Travis Atkison:
Using randomized projection techniques to aid in detecting high-dimensional malicious applications. ACM Southeast Regional Conference 2011: 166-172 - [c5]Juan Carlos Flores Cruz, Travis Atkison:
Digital forensics on a virtual machine. ACM Southeast Regional Conference 2011: 326-327 - 2010
- [c4]Travis Atkison:
Aiding prediction algorithms in detecting high-dimensional malicious applications using a randomized projection technique. ACM Southeast Regional Conference 2010: 80
2000 – 2009
- 2009
- [c3]Travis Atkison:
Applying randomized projection to aid prediction algorithms in detecting high-dimensional rogue applications. ACM Southeast Regional Conference 2009 - 2001
- [c2]Travis Atkison, Kathleen Pensy, Charles K. Nicholas, David S. Ebert, Rebekah Atkison, Chris Morris:
Case Study: Visualization and Information Retrieval Techniques for Network Intrusion Detection. VisSym 2001: 283-290 - 2000
- [c1]Lee A. Butler, Travis Atkison, Ethan L. Miller:
Comparing CPU Performance Between and Within Processor Families. Int. CMG Conference 2000: 421-430
Coauthor Index
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