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2020 – today
- 2023
[j21]Brita Munsinger
, Nicole Beebe, Turquoise Richardson:
Virtual reality for improving cyber situational awareness in security operations centers. Comput. Secur. 132: 103368 (2023)- [j20]Albert M. Villarreal, Robin Kumar Verma, Oren Upton, Nicole Lang Beebe:
Nondestructive Data Acquisition Methodology for IoT Devices: A Case Study on Amazon Echo Dot Version 2. IEEE Internet Things J. 10(5): 4375-4387 (2023) - [j19]Patricia Akello, Naga Vemprala, Nicole Lang Beebe, Kim-Kwang Raymond Choo:
Blockchain Use Case in Ballistics and Crime Gun Tracing and Intelligence: Toward Overcoming Gun Violence. ACM Trans. Manag. Inf. Syst. 14(1): 7:1-7:26 (2023) - [c20]Mazal Bethany, Andrew Seong, Samuel Henrique Silva, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad:
Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability. USENIX Security Symposium 2023: 643-660 - 2020
- [j18]Michele Maasberg, Craig Van Slyke, Selwyn Ellis, Nicole Beebe:
The dark triad and insider threats in cyber security. Commun. ACM 63(12): 64-80 (2020) - [j17]Xiaolu Zhang, Oren Upton, Nicole Lang Beebe, Kim-Kwang Raymond Choo:
IoT Botnet Forensics: A Comprehensive Digital Forensic Case Study on Mirai Botnet Servers. Digit. Investig. 32 Supplement: 300926 (2020) - [j16]Gonzalo De La Torre Parra, Paul Rad, Kim-Kwang Raymond Choo, Nicole Beebe:
Detecting Internet of Things attacks using distributed deep learning. J. Netw. Comput. Appl. 163: 102662 (2020) - [c19]Zahra Aivazpour, Nicole Lang Beebe:
The Impact of Power Imbalance on Cyberbullying: the Role of Bystanders Intervention. ICIS 2020
2010 – 2019
- 2019
- [j15]Xiaolu Zhang, Justin Grannis, Ibrahim M. Baggili, Nicole Lang Beebe:
Frameup: An incriminatory attack on Storj: A peer to peer blockchain enabled distributed storage system. Digit. Investig. 29: 28-42 (2019) - [j14]Xiaolu Zhang, Kim-Kwang Raymond Choo, Nicole Lang Beebe:
How Do I Share My IoT Forensic Experience With the Broader Community? An Automated Knowledge Sharing IoT Forensic Platform. IEEE Internet Things J. 6(4): 6850-6861 (2019) - [j13]Samuel Henrique Silva, Paul Rad, Nicole Beebe, Kim-Kwang Raymond Choo, Mahesh Umapathy:
Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking. J. Parallel Distributed Comput. 131: 147-160 (2019) - 2018
- [c18]Zahra Aivazpour, Nicole Beebe:
Cyberbullying: Investigating the Roles of Power and Communication Medium. AMCIS 2018 - [c17]Paul Rad, Mehdi Roopaei, Nicole Beebe, Mehdi Shadaram, Yoris Au:
AI Thinking for Cloud Education Platform with Personalized Learning. HICSS 2018: 1-10 - [c16]Nicholas Mata, Nicole Beebe, Kim-Kwang Raymond Choo:
Are Your Neighbors Swingers or Kinksters? Feeld App Forensic Analysis. TrustCom/BigDataSE 2018: 1433-1439 - 2017
- [c15]Nicole Beebe, Lishu Liu, Zi Ye:
Insider Threat Detection Using Time-Series-Based Raw Disk Forensic Analysis. IFIP Int. Conf. Digital Forensics 2017: 149-167 - 2016
- [j12]Diana K. Young, Nicole Beebe, Glenn Dietrich, Charles Zhechao Liu:
An Empirical Examination of an Agile Contingent Project/Method Fit Model. Commun. Assoc. Inf. Syst. 39: 14 (2016) - [c14]Chelsea Hicks, Nicole Beebe, Brandi Haliscak:
Extending Web Mining to Digital Forensics Text Mining. AMCIS 2016 - [c13]Michele Maasberg, Myung Ko, Nicole Lang Beebe:
Exploring a Systematic Approach to Malware Threat Assessment. HICSS 2016: 5517-5526 - [c12]Nicole Beebe, Lishu Liu, Minghe Sun:
Data Type Classification: Hierarchical Class-to-Type Modeling. IFIP Int. Conf. Digital Forensics 2016: 325-343 - 2015
- [c11]Michele Maasberg, John Warren, Nicole Lang Beebe:
The Dark Side of the Insider: Detecting the Insider Threat through Examination of Dark Triad Personality Traits. HICSS 2015: 3518-3526 - 2014
- [j11]Nicole Lang Beebe, Diana K. Young, Frederick Chang:
Framing Information Security Budget Requests to Influence Investment Decisions. Commun. Assoc. Inf. Syst. 35: 7 (2014) - [j10]Nicole Lang Beebe, Lishu Liu:
Clustering digital forensic string search output. Digit. Investig. 11(4): 314-322 (2014) - [j9]Nicole Lang Beebe, Lishu Liu:
Ranking algorithms for digital forensic string search hits. Digit. Investig. 11(Supplement 2): S124-S132 (2014) - 2013
- [j8]Nicole Lang Beebe, Laurence A. Maddox, Lishu Liu, Minghe Sun:
Sceadan: Using Concatenated N-Gram Vectors for Improved File and Data Type Classification. IEEE Trans. Inf. Forensics Secur. 8(9): 1519-1530 (2013) - 2012
- [c10]Diana K. Young, Nicole Beebe, Frederick Chang:
Prospect Theory and Information Security Investment Decisions. AMCIS 2012 - 2011
- [j7]Nicole Lang Beebe, Jan Guynes Clark, Glenn B. Dietrich, Myung S. Ko, Daijin Ko:
Post-retrieval search hit clustering to improve information retrieval effectiveness: Two digital forensics case studies. Decis. Support Syst. 51(4): 732-744 (2011) - 2010
- [j6]Nicole Lang Beebe, V. Srinivasan Rao:
Improving Organizational Information Security Strategy via Meso-Level Application of Situational Crime Prevention to the Risk Management Process. Commun. Assoc. Inf. Syst. 26: 17 (2010)
2000 – 2009
- 2009
- [j5]Nicole Lang Beebe, Sonia D. Stacy, Dane Stuckey:
Digital forensic implications of ZFS. Digit. Investig. 6(Supplement): S99-S107 (2009) - [c9]Nicole Lang Beebe, V. Srinivasan Rao:
Examination of Organizational Information Security Strategy: A Pilot Study. AMCIS 2009: 417 - [c8]Nicole Beebe:
Digital Forensic Research: The Good, the Bad and the Unaddressed. IFIP Int. Conf. Digital Forensics 2009: 17-36 - 2007
- [j4]Nicole Lang Beebe, Jan Guynes Clark:
Digital forensic text string searching: Improving information retrieval effectiveness by thematically clustering search results. Digit. Investig. 4(Supplement): 49-54 (2007) - [c7]Nicole Beebe, Glenn B. Dietrich:
A New Process Model for Text String Searching. IFIP Int. Conf. Digital Forensics 2007: 179-191 - 2006
- [j3]Tim Goles, Gregory B. White, Nicole Beebe, Carlos Alberto Dorantes, Barbara Hewitt:
Moral intensity and ethical decision-making: a contextual extension. Data Base 37(2-3): 86-95 (2006) - [j2]Nicole Beebe, Gary C. Kessler:
A Review of: "Real Digital Forensics: Computer Security and Incident Response. By Keith J. Jones, Richard Bejtlich, and Curtis W. Rose". J. Digit. Forensic Pract. 1(4): 325-326 (2006) - [c6]Nicole Lang Beebe, Jan Guynes Clark:
A Model for Predicting Hacker Behavior. AMCIS 2006: 409 - [c5]Nicole Lang Beebe, Jan Guynes Clark:
Digital Forensics Curriculum Development: Identification of Knowledge Domains Learning Objectives and Core Concepts. AMCIS 2006: 421 - 2005
- [j1]Nicole Beebe, Jan Guynes Clark:
A hierarchical, objectives-based framework for the digital investigations process. Digit. Investig. 2(2): 147-167 (2005) - [c4]Nicole Lang Beebe, Diane B. Walz:
An Empirical Investigation of the Impact of Data Quality and its Antecedents on Data Warehousing. AMCIS 2005: 28 - [c3]Nicole Beebe, Jan Guynes Clark:
Dealing with Terabyte Datasets in Digital Investigations. IFIP Int. Conf. Digital Forensics 2005: 3-16 - 2004
- [c2]Nicole Lang Beebe, Roy Calvo, V. Srinivasan Rao:
Web Services Security: Proposed Model for Content Delivery Assurance in a Low Trust Scenario. AMCIS 2004: 513 - [c1]Jan Guynes Clark, Nicole Beebe, Andrew G. Kotulic:
Integrating Security and Privacy Issues in System Design. WOSIS 2004: 33-46
Coauthor Index
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