ENHANCING LOCATION INFORMATION PRIVACY AND SECURITY IN IOBT USING DECEPTION-BASED TECHNIQUES

File
Publisher
Florida Atlantic University
Date Issued
2024
EDTF Date Created
2024
Description
IoBT stands for the Internet of Battlefield Things. This concept extends the principles of the Internet of Things (IoT) for military and defense use. IoBT integrates smart devices, sensors, and technology on the battlefield to improve situational awareness, communication, and decision-making in military operations. Sensitive military data typically includes information crucial to national security, such as the location of soldiers and equipment. Unauthorized access to location data may compromise operational confidentiality and impede the element of surprise in military operations. Therefore, ensuring the security of location data is crucial for the success and efficiency of military operations. We propose two systems to address this issue.
First, we propose a novel deception-based scheme to enhance the location-information security of IoBT nodes. The proposed scheme uses a novel encryption method, dummy IDs, and dummy packets technology. We develop a mathematical model to evaluate our scheme in terms of safety time (ST), probability of failure (PF), and the probability of identifying the real packet in each location information update (PIRP). Then, we develop NetLogo simulations to validate the mathematical model. The proposed scheme increases ST, reduces PF and PIRP.
Note

Includes bibliography.

Language
Type
Extent
137 p.
Identifier
FA00014497
Rights

Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.

Additional Information
Includes bibliography.
Dissertation (PhD)--Florida Atlantic University, 2024.
FAU Electronic Theses and Dissertations Collection
Date Backup
2024
Date Created Backup
2024
Date Text
2024
Date Created (EDTF)
2024
Date Issued (EDTF)
2024
Extension


FAU

IID
FA00014497
Person Preferred Name

Alkanjr, Basmh Ibrahim

author

Graduate College
Physical Description

application/pdf
137 p.
Title Plain
ENHANCING LOCATION INFORMATION PRIVACY AND SECURITY IN IOBT USING DECEPTION-BASED TECHNIQUES
Use and Reproduction
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information

2024
2024
Florida Atlantic University

Boca Raton, Fla.

Place

Boca Raton, Fla.
Title
ENHANCING LOCATION INFORMATION PRIVACY AND SECURITY IN IOBT USING DECEPTION-BASED TECHNIQUES
Other Title Info

ENHANCING LOCATION INFORMATION PRIVACY AND SECURITY IN IOBT USING DECEPTION-BASED TECHNIQUES