Travis Atkison

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 27

Top Topics

Fuzzy Similarity Relations

Data Extraction

Event Detection

Computational Science

Top Venues

ACM Southeast Regional Conference

J. Digit. Forensics Secur. Law

Publications

Andrew Renninger, Sinan Ameen Noman, Travis Atkison, Jonah Sussman
Live Intersection Data Acquisition for Traffic Simulators (LIDATS). Sensors 24 (11) (2024)
Kelvin Ovabor, Travis Atkison
Exploring Firefly and Greywolf Algorithms for Multi-objective Optimization in Wireless Sensor Networks. ACM Southeast Regional Conference (2024)
Chen Wang, Travis Atkison, Qiuhua Duan
Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches. ICAI (2) (2023)
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 (2022)
Reed Milewicz, Jeffrey C. Carver, Samuel Grayson, Travis Atkison
A Secure Future for Open-Source Computational Science and Engineering. CoRR (2022)
Reed Milewicz, Jeffrey C. Carver, Samuel Grayson, Travis Atkison
A Secure Future for Open-Source Computational Science and Engineering. Comput. Sci. Eng. 24 (4) (2022)
Michael Lee, Travis Atkison
VANET applications: Past, present, and future. Veh. Commun. 28 (2021)
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 (2021)
Naima Islam, Md Abu Sufian Talukder, Alex Hainen, Travis Atkison
Characterizing co-modality in urban transit systems from a passengers' perspective. Public Transp. 12 (2) (2020)
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) (2020)
Pezhman Sheinidashtegol, Aibek Musaev, Travis Atkison
Investigating Personally Identifiable Information Posted on Twitter Before and After Disasters. SERVICES (2019)
Chen Wang, Aibek Musaev, Pezhman Sheinidashtegol, Travis Atkison
Towards Detection of Abnormal Vehicle Behavior Using Traffic Cameras. BigData Congress (2019)
Michael Lee, Beichen Yang, Travis Atkison
802.11ac and p in a Simulated VANET Environment. IEEE BigData (2019)
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) (2018)
Md Shariful Haque, Jeff Carver, Travis Atkison
Causes, impacts, and detection approaches of code smell: a survey. ACM Southeast Regional Conference (2018)
Md Shariful Haque, Travis Atkison
A Forensic Enabled Data Provenance Model for Public Cloud. J. Digit. Forensics Secur. Law 13 (3) (2018)
Vidya Nakade, Aibek Musaev, Travis Atkison
Preliminary research on thesaurus-based query expansion for Twitter data extraction. ACM Southeast Regional Conference (2018)
Thomas Willingham, Cody Henderson, Blair Kiel, Md Shariful Haque, Travis Atkison
Testing vulnerabilities in bluetooth low energy. ACM Southeast Regional Conference (2018)
Amanda Lee, Travis Atkison
A Comparison of Fuzzy Hashes: Evaluation, Guidelines, and Future Suggestions. ACM Southeast Regional Conference (2017)
Nathan Wallace, Travis Atkison
On the detection of cyber-events in the grid using PCA. Int. J. Crit. Infrastructures 13 (2/3) (2017)
Bernard Chen, Krizia Houston Buck, Caleb Lawrence, Christopher Moore, Jeremy Yeatts, Travis Atkison
Granular computing in wineinformatics. ICNC-FSKD (2017)
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) (2017)
Matthew Leeds, Miclain Keffeler, Travis Atkison
A Comparison of Features for Android Malware Detection. ACM Southeast Regional Conference (2017)
Sweta Mahaju, Travis Atkison
Evaluation of Firefox Browser Forensics Tools. ACM Southeast Regional Conference (2017)
Arpan Man Sainju, Travis Atkison
An Experimental Analysis of Windows Log Events Triggered by Malware. ACM Southeast Regional Conference (2017)
Travis Atkison, Nathan Wallace
A Power Grid Incident Identification Based on Physically Derived Cyber-Event Detection. J. Digit. Forensics Secur. Law 12 (2) (2017)
Stanislav Ponomarev, Travis Atkison
Industrial Control System Network Intrusion Detection by Telemetry Analysis. IEEE Trans. Dependable Secur. Comput. 13 (2) (2016)
Stanislav Ponomarev, Nathan Wallace, Travis Atkison
Detection of SSH host spoofing in control systems through network telemetry analysis. CISR (2014)
Nathan Wallace, Stanislav Ponomarev, Travis Atkison
A dimensional transformation scheme for power grid cyber event detection. CISR (2014)
James Poore, Juan Carlos Flores Cruz, Travis Atkison
Evolution of digital forensics in virtualization by using virtual machine introspection. ACM Southeast Regional Conference (2013)
Stanislav Ponomarev, Jan Durand, Nathan Wallace, Travis Atkison
Evaluation of Random Projection for Malware Classification. SERE (Companion) (2013)
Nathan Wallace, Travis Atkison
Observing industrial control system attacks launched via metasploit framework. ACM Southeast Regional Conference (2013)
Sean Semple, Stanislav Ponomarev, Jan Durand, Travis Atkison
Applying static analysis to high-dimensional malicious application detection. ACM Southeast Regional Conference (2013)
Juan Carlos Flores Cruz, Travis Atkison
Evolution of traditional digital forensics in virtualization. ACM Southeast Regional Conference (2012)
Jan Durand, Travis Atkison
Applying random projection to the classification of malicious applications using data mining algorithms. ACM Southeast Regional Conference (2012)
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) (2012)
Jan Durand, Travis Atkison
Using randomized projection techniques to aid in detecting high-dimensional malicious applications. ACM Southeast Regional Conference (2011)
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) (2011)
Juan Carlos Flores Cruz, Travis Atkison
Digital forensics on a virtual machine. ACM Southeast Regional Conference (2011)
Travis Atkison
Aiding prediction algorithms in detecting high-dimensional malicious applications using a randomized projection technique. ACM Southeast Regional Conference (2010)
Travis Atkison
Applying randomized projection to aid prediction algorithms in detecting high-dimensional rogue applications. ACM Southeast Regional Conference (2009)
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)
Lee A. Butler, Travis Atkison, Ethan L. Miller
Comparing CPU Performance Between and Within Processor Families. Int. CMG Conference (2000)