Dr. Robert F. Erbacher Profile

Dr. Robert F. Erbacher

Computer Scientist at CCDC Army Research Lab

SPIE Involvement:

Author | Instructor

Proceedings Article | 14 June 2023 Poster + Paper

Quasi-synthetic data generation for camouflaged object detection at edge

Rohan Putatunda, Md Azim Khan, Aryya Gangopadhyay, Jianwu Wang, Robert F. Erbacher

Proceedings Volume 12529, 1252916 (2023) https://doi.org/10.1117/12.2678034

KEYWORDS: Data modeling, Object detection, Education and training, Performance modeling, Image processing, Light sources and illumination, Instrument modeling, Displays, RGB color model, Camouflage

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Proceedings Article | 12 June 2023 Presentation + Paper

Confident federated learning to tackle label flipped data poisoning attacks

Pretom Roy Ovi, Aryya Gangopadhyay, Robert Erbacher, Carl Busart

Proceedings Volume 12538, 125380Z (2023) https://doi.org/10.1117/12.2663911

KEYWORDS: Machine learning, Data privacy, Adversarial training

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Proceedings Article | 6 June 2022 Presentation + Paper

Towards developing a data security aware federated training framework in multi-modal contested environments

Pretom Roy Ovi, Emon Dey, Nirmalya Roy, Aryya Gangopadhyay, Robert Erbacher

Proceedings Volume 12113, 121130M (2022) https://doi.org/10.1117/12.2618904

KEYWORDS: Data modeling, Computer security, Visualization, Neurons, Instrument modeling, Data communications, Acoustics, Profiling, Data acquisition, Visual process modeling

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Proceedings Article | 6 June 2022 Presentation + Paper

CAPD: a context-aware, policy-driven framework for secure and resilient IoBT operations

Sai Sree Laya Chukkapalli, Anupam Joshi, Tim Finin, Robert Erbacher

Proceedings Volume 12113, 121130P (2022) https://doi.org/10.1117/12.2618106

KEYWORDS: Sensors, Video, Internet, Data modeling, Situational awareness sensors, Environmental sensing, Defense and security, Video surveillance, Unmanned aerial vehicles, Unattended ground sensors

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Proceedings Article | 31 May 2022 Presentation + Paper

Camouflaged object detection system at the edge

Rohan Putatunda, Aryya Gangopadhyay, Robert Erbacher, Carl Busart

Proceedings Volume 12096, 120960I (2022) https://doi.org/10.1117/12.2618869

KEYWORDS: Performance modeling, Camouflage, Image segmentation, Data modeling, Systems modeling, Instrument modeling, Head, Fluctuations and noise, Visualization

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Proceedings Article | 14 May 2015 Paper

ASN reputation system model

Steve Hutchinson, Robert Erbacher

Proceedings Volume 9458, 94580A (2015) https://doi.org/10.1117/12.2177464

KEYWORDS: Internet, Network security, Computing systems, Systems modeling, Analytical research, Inspection, Defense and security, Information security, Sensors, Computer security

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Proceedings Article | 24 January 2011 Paper

A tri-linear visualization for network anomaly detection

Robert Whitaker, Robert Erbacher

Proceedings Volume 7868, 78680P (2011) https://doi.org/10.1117/12.872697

KEYWORDS: Visualization, Computer intrusion detection, Visual analytics, Network security, Computing systems, Data processing, Data modeling, Computer security, Visual process modeling, Computer networks

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Proceedings Article | 18 January 2010 Paper

Cognitive task analysis of network analysts and managers for network situational awareness

Robert Erbacher, Deborah Frincke, Pak Chung Wong, Sarah Moody, Glenn Fink

Proceedings Volume 7530, 75300H (2010) https://doi.org/10.1117/12.845488

KEYWORDS: Visualization, Visual analytics, Network security, Situational awareness sensors, Analytical research, Forensic science, Data communications, Visual process modeling, Artillery, Data analysis

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Proceedings Article | 28 January 2008 Paper

The forensic validity of visual analytics

Robert Erbacher

Proceedings Volume 6809, 68090H (2008) https://doi.org/10.1117/12.786400

KEYWORDS: Visualization, Visual analytics, Legal, Forensic science, Digital forensics, Analytical research, Network security, Feedback loops, Statistical analysis, Binary data

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The wider use of visualization and visual analytics in wide ranging fields has led to the need for visual analytics capabilities to be legally admissible, especially when applied to digital forensics. This brings the need to consider legal implications when performing visual analytics, an issue not traditionally examined in visualization and visual analytics techniques and research. While digital data is generally admissible under the Federal Rules of Evidence [10][21], a comprehensive validation of the digital evidence is considered prudent. A comprehensive validation requires validation of the digital data under rules for authentication, hearsay, best evidence rule, and privilege. Additional issues with digital data arise when exploring digital data related to admissibility and the validity of what information was examined, to what extent, and whether the analysis process was sufficiently covered by a search warrant. For instance, a search warrant generally covers very narrow requirements as to what law enforcement is allowed to examine and acquire during an investigation. When searching a hard drive for child pornography, how admissible is evidence of an unrelated crime, i.e. drug dealing. This is further complicated by the concept of "in plain view". When performing an analysis of a hard drive what would be considered "in plain view" when analyzing a hard drive. The purpose of this paper is to discuss the issues of digital forensics and the related issues as they apply to visual analytics and identify how visual analytics techniques fit into the digital forensics analysis process, how visual analytics techniques can improve the legal admissibility of digital data, and identify what research is needed to further improve this process. The goal of this paper is to open up consideration of legal ramifications among the visualization community; the author is not a lawyer and the discussions are not meant to be inclusive of all differences in laws between states and countries.

Proceedings Article | 9 June 2003 Paper

Analysis and application of node layout algorithms for intrusion detection

Robert Erbacher, Zhouxuan Teng

Proceedings Volume 5009, (2003) https://doi.org/10.1117/12.473927

KEYWORDS: Visualization, Computer intrusion detection, Environmental monitoring, Computing systems, Detection and tracking algorithms, Computer security, Environmental sensing, Network security, Algorithm development, System identification

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Proceedings Article | 12 March 2002 Paper

Glyph-based generic network visualization

Robert Erbacher

Proceedings Volume 4665, (2002) https://doi.org/10.1117/12.458790

KEYWORDS: Visualization, Computer intrusion detection, Networks, Environmental monitoring, Visual analytics, Computing systems, Computer science, Human-machine interfaces, Environmental sensing, Computer networks

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Proceedings Article | 24 July 2001 Paper

Visual traffic monitoring and evaluation

Robert Erbacher

Proceedings Volume 4523, (2001) https://doi.org/10.1117/12.434309

KEYWORDS: Visualization, Networks, Human-machine interfaces, Network architectures, Switches, Computer networks, Phase modulation, Visual analytics, Algorithm development, Explosives

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Proceedings Article | 3 May 2001 Paper

Visual behavior characterization for intrusion and misuse detection

Robert Erbacher, Deborah Frincke

Proceedings Volume 4302, (2001) https://doi.org/10.1117/12.424930

KEYWORDS: Visualization, Computer networks, Network security, Visual analytics, Data mining, Computing systems, Computer intrusion detection, Computer security, Information visualization, Analytical research

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SPIE Journal Paper | 1 October 2000 Open Access

Guest Editorial: Special Section on Visualization and Data Analysis

Robert Erbacher, Alex Pang

JEI, Vol. 9, Issue 04, (October 2000) https://doi.org/10.1117/12.10.1117/1.1290511

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Proceedings Article | 28 February 2000 Paper

Visual steering for program debugging

Robert Erbacher

Proceedings Volume 3960, (2000) https://doi.org/10.1117/12.378886

KEYWORDS: Visualization, Visual analytics, Data processing, Software development, Analytical research, Astatine, Data communications, Network architectures, Switches, 3D modeling

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Proceedings Article | 25 March 1999 Paper

Program visualization: bringing visual analysis to code development

Robert Erbacher, Georges Grinstein

Proceedings Volume 3643, (1999) https://doi.org/10.1117/12.342845

KEYWORDS: Visualization, Control systems, Visual analytics, Data communications, Solids, Low-intensity laser therapy, Computer science, Visual system, Distributed computing, Data processing

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Proceedings Article | 9 April 1997 Paper

Visual debugging of data and operations for concurrent programs

Robert Erbacher

Proceedings Volume 3017, (1997) https://doi.org/10.1117/12.270306

KEYWORDS: Visualization, Computing systems, Switches, Visual analytics, Computer programming, Image processing, Solids, Data visualization, Data integration, Prisms

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Proceedings Article | 8 March 1996 Paper

Visualization of data for the debugging of concurrent systems

Robert Erbacher, Georges Grinstein

Proceedings Volume 2656, (1996) https://doi.org/10.1117/12.234663

KEYWORDS: Visualization, Matrices, Computer programming, Convolution, Matrix multiplication, Image processing, Computing systems, Telecommunications, Visual analytics, Prisms

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Proceedings Article | 7 April 1995 Paper

Color icon: a new design and a parallel implementation

Robert Erbacher, David Gonthier, Haim Levkowitz

Proceedings Volume 2410, (1995) https://doi.org/10.1117/12.205962

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Proceedings Article | 7 April 1995 Paper

Performance issues in a real-time true color data display

Robert Erbacher, Georges Grinstein

Proceedings Volume 2410, (1995) https://doi.org/10.1117/12.205956

KEYWORDS: Visualization, Computing systems, Defense and security, Analytical research, Visual analytics, Sun, Computer architecture, Databases, Associative arrays, Data modeling

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Showing 5 of 20 publications

SPIE Conference Volume | 28 January 2007

Visualization and Data Analysis 2007

SPIE Conference Volume | 15 January 2006

Visualization and Data Analysis 2006

SPIE Conference Volume | 11 March 2005

Visualization and Data Analysis 2005

SPIE Conference Volume | 4 June 2004

Visualization and Data Analysis 2004

SPIE Conference Volume | 9 June 2003

Visualization and Data Analysis 2003

Showing 5 of 13 publications

Conference Committee Involvement (16)

Visualization and Data Analysis 2010

18 January 2010 | San Jose, California, United States

Visualization and Data Analysis 2009

19 January 2009 | San Jose, California, United States

Visualization and Data Analysis 2008

28 January 2008 | San Jose, California, United States

Visualization and Data Analysis 2007

29 January 2007 | San Jose, CA, United States

Visualization and Data Analysis 2006

16 January 2006 | San Jose, California, United States

Visualization and Data Analysis 2005

17 January 2005 | San Jose, California, United States

Visualization and Data Analysis 2004

19 January 2004 | San Jose, California, United States

Visualization and Data Analysis 2003

21 January 2003 | Santa Clara, CA, United States

Visualization and Data Analysis 2002

21 January 2002 | San Jose, California, United States

Visual Data Exploration and Analysis VIII

22 January 2001 | San Jose, CA, United States

Visual Data Exploration and Analysis VII

24 January 2000 | San Jose, CA, United States

Visual Data Exploration and Analysis VI

27 January 1999 | San Jose, CA, United States

Visual Data Exploration and Analysis V

26 January 1998 | San Jose, CA, United States

Visual Data Exploration and Analysis IV

12 February 1997 | San Jose, CA, United States

Visual Data Exploration and Analysis III

31 January 1996 | San Jose, CA, United States

Visual Data Exploration and Analysis II

8 February 1995 | San Jose, CA, United States

Showing 5 of 16 Conference Committees

Course Instructor

SC525: Introduction to Information Assurance: How Secure is Your Data?

Network connectivity has become ubiquitous and with it come concerns for the security and privacy of the associated computer and network infrastructure. Given the criticality of data communicated over networks and stored on networked systems, ensuring that the data is not compromised is vital. Understanding the fundamentals of computer security is necessary for an organization to protect such confidential data. This course will touch on various aspects of computer security, including: Host-Based Security, Network-Based Security, Encryption, Intrusion and Misuse Detection, Computer Forensics, and Legal Issues.

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