Nicole Beebe

发表

Digital forensic text string searching: Improving information retrieval effectiveness by thematically clustering search results

Nicole Beebe, Jan Guynes Clark, J. Clark, 2007, Digit. Investig..

A Publication of the Association of Management CUSTOMERS ’ PERSONALITY , THEIR PERCEPTIONS , AND GREEN CONCERN ON INTERNET BANKING USE

Myung S. Ko, Nicole Beebe, H. Yoon, 2013 .

Using Situational Crime Prevention Theory to Explain the Effectiveness of Information Systems Security

Nicole Beebe, V. Srinivasan Rao, V. Rao, 2005 .

An Analysis of Motive and Observable Behavioral Indicators Associated With Insider Cyber-Sabotage and Other Attacks

Myung S. Ko, Stewart R. Miller, Nicole Beebe, 2020, IEEE Engineering Management Review.

The Enemy Within the Insider: Detecting the Insider Threat Through Addiction Theory

Nicole Beebe, Michele Maasberg, Nicole Beebe, 2014 .

A Review of: "Real Digital Forensics: Computer Security and Incident Response. By Keith J. Jones, Richard Bejtlich, and Curtis W. Rose"

Gary C. Kessler, Nicole Beebe, Nicole Beebe, 2007, J. Digit. Forensic Pract..

Improving Organizational Information Security Strategy via Meso-Level Application of Situational Crime Prevention to the Risk Management Process

Nicole Beebe, V. Srinivasan Rao, V. Rao, 2010, Commun. Assoc. Inf. Syst..

Framing Information Security Budget Requests to Maximize Investments

Diana K. Young, Nicole Beebe, Frederick Chang, 2013 .

Dealing with Terabyte Datasets in Digital Investigations

Nicole Beebe, Jan Guynes Clark, J. Clark, 2005, IFIP Int. Conf. Digital Forensics.

The Dark Side of the Insider: Detecting the Insider Threat through Examination of Dark Triad Personality Traits

Michele Maasberg, John Warren, Nicole L. Beebe, 2015, 2015 48th Hawaii International Conference on System Sciences.

Clustering digital forensic string search output

Nicole Beebe, Lishu Liu, Nicole Beebe, 2014, Digit. Investig..

Moral intensity and ethical decision-making: a contextual extension

Gregory B. White, Barbara Hewitt, Nicole Beebe, 2006, DATB.

Detecting Internet of Things attacks using distributed deep learning

Kim-Kwang Raymond Choo, Nicole Beebe, Paul Rad, 2020, J. Netw. Comput. Appl..

Insider Threat Detection Using Time-Series-Based Raw Disk Forensic Analysis

Nicole Beebe, Lishu Liu, Zi Ye, 2017, IFIP Int. Conf. Digital Forensics.

Post-retrieval search hit clustering to improve information retrieval effectiveness: Two digital forensics case studies

Nicole Beebe, Jan Guynes Clark, Glenn B. Dietrich, 2011, Decis. Support Syst..

Examination of Organizational Information Security Strategy: A Pilot Study

Nicole Beebe, V. Srinivasan Rao, V. Rao, 2009, AMCIS.

A hierarchical, objectives-based framework for the digital investigations process

Nicole Beebe, Jan Guynes Clark, J. Clark, 2005, Digit. Investig..

Ranking algorithms for digital forensic string search hits

Nicole Beebe, Lishu Liu, Nicole Beebe, 2014, Digit. Investig..

Detecting threatening insiders with lightweight media forensics

Simson L. Garfinkel, Nicole Beebe, Lishu Liu, 2013, 2013 IEEE International Conference on Technologies for Homeland Security (HST).

Sceadan: Using Concatenated N-Gram Vectors for Improved File and Data Type Classification

Minghe Sun, Nicole Beebe, Lishu Liu, 2013, IEEE Transactions on Information Forensics and Security.

The dark triad and insider threats in cyber security

Craig Van Slyke, Selwyn Ellis, Michele Maasberg, 2020, Commun. ACM.

Framing Information Security Budget Requests to Influence Investment Decisions

Nicole Beebe, Diana K. Young, Frederick Chang, 2014, Commun. Assoc. Inf. Syst..

Prospect Theory and Information Security Investment Decisions

Nicole Beebe, Diana K. Young, Frederick Chang, 2012, AMCIS.

Frameup: An incriminatory attack on Storj: A peer to peer blockchain enabled distributed storage system

Xiaolu Zhang, Nicole Beebe, Ibrahim Baggili, 2019, Digit. Investig..

AI Thinking for Cloud Education Platform with Personalized Learning

Paul Rad, Mehdi Shadaram, Mehdi Roopaei, 2018, HICSS.

Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking

Paul Rad, Kim-Kwang Raymond Choo, Nicole Beebe, 2019, J. Parallel Distributed Comput..