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proposal for a binary stream cipher based on chaos theory
Title
A proposal for a binary stream cipher based on chaos theory.
Creator
Kanser, Heather Lianna, Florida Atlantic University, Mullin, Ronald C., Hoffman, Frederick, Charles E. Schmidt College of Science, Department of Mathematical Sciences
Abstract/Description
Today new secure cryptosystems are in great demand. Computers are becoming more powerful and old cryptosystems, such as the Data Encryption Standard (DES), are becoming outdated. This thesis describes a new binary additive strewn cipher (HK cryptosystem) that is based on the logistic map. The logistic map is not random, but works under simple rules to become complex, thus making it ideal for implementation in cryptography. Instead of basing the algorithm on one logistic map, the HK...
Show moreToday new secure cryptosystems are in great demand. Computers are becoming more powerful and old cryptosystems, such as the Data Encryption Standard (DES), are becoming outdated. This thesis describes a new binary additive strewn cipher (HK cryptosystem) that is based on the logistic map. The logistic map is not random, but works under simple rules to become complex, thus making it ideal for implementation in cryptography. Instead of basing the algorithm on one logistic map, the HK cryptosystem. averages several uncoupled logistic maps. Averaging the maps increases the dimension of such a system, thus providing greater security. This thesis will explore the strengths and weaknesses of the HK cryptosystem and will end by introducing a modified version, called the HK8 cryptosystem that does not have the apparent weakness of the HK system.
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Date Issued
2000
PURL
http://purl.flvc.org/fcla/dt/12685
Subject Headings
Chaotic behavior in systems, Computers--Access control, Cryptography
Format
Document (PDF)
Resource-sensitive intrusion detection models for network traffic
Title
Resource-sensitive intrusion detection models for network traffic.
Creator
Abushadi, Mohamed E., Florida Atlantic University, Khoshgoftaar, Taghi M.
Abstract/Description
Network security is an important subject in today's extensively interconnected computer world. The industry, academic institutions, small and large businesses and even residences are now greatly at risk from the increasing onslaught of computer attacks. Such malicious efforts cause damage ranging from mere violation of confidentiality and issues of privacy up to actual financial loss if business operations are compromised, or even further, loss of human lives in the case of mission-critical...
Show moreNetwork security is an important subject in today's extensively interconnected computer world. The industry, academic institutions, small and large businesses and even residences are now greatly at risk from the increasing onslaught of computer attacks. Such malicious efforts cause damage ranging from mere violation of confidentiality and issues of privacy up to actual financial loss if business operations are compromised, or even further, loss of human lives in the case of mission-critical networked computer applications. Intrusion Detection Systems (IDS) have been used along with the help of data mining modeling efforts to detect intruders, yet with the limitation of organizational resources it is unreasonable to inspect every network alarm raised by the IDS. Modified Expected Cost of Misclassification ( MECM) is a model selection measure that is resource-aware and cost-sensitive at the same time, and has proven to be effective for the identification of the best resource-based intrusion detection model.
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Date Issued
2003
PURL
http://purl.flvc.org/fcla/dt/13054
Subject Headings
Computer networks--Security measures--Automation, Computers--Access control, Data mining, Computer security
Format
Document (PDF)
Techniques for combining binary classifiers: A comparative study in network intrusion detection systems
Title
Techniques for combining binary classifiers: A comparative study in network intrusion detection systems.
Creator
Lin, Hua., Florida Atlantic University, Khoshgoftaar, Taghi M., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
We discuss a set of indirect combining techniques for addressing multi-category classification problems that have been used in many domains, but not for intrusion detection systems. In contrast to the indirect combining techniques, direct techniques generally extend associated binary classifiers to handle multi-category classification problems. An indirect combining technique decomposes the original multi-category problem into, based on some criteria, multiple binary-category problems. We...
Show moreWe discuss a set of indirect combining techniques for addressing multi-category classification problems that have been used in many domains, but not for intrusion detection systems. In contrast to the indirect combining techniques, direct techniques generally extend associated binary classifiers to handle multi-category classification problems. An indirect combining technique decomposes the original multi-category problem into, based on some criteria, multiple binary-category problems. We investigated two different approaches for building the binary classifiers. The results of the binary classifiers are then merged using a combining technique---three different combining techniques were studied. We implement some of the indirect combining techniques proposed in recent literature, and apply them to a case study of the DARPA KDD-1999 network intrusion detection project. The results demonstrate the usefulness of using indirect combining techniques for the multi-category classification problem of intrusion detection systems.
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Date Issued
2004
PURL
http://purl.flvc.org/fcla/dt/13111
Subject Headings
Computer networks--Security measures, Computer security, Computers--Access control, Electronic countermeasures, Fuzzy systems
Format
Document (PDF)
authorization model for object-oriented and semantic databases
Title
An authorization model for object-oriented and semantic databases.
Creator
Song, Haiyan., Florida Atlantic University, Fernandez, Eduardo B., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
The incorporation of object-oriented and semantic modeling concepts to databases is one of the most significant advances in the evolution of database systems. Among the many issues brought along by this integration, one that becomes important is the protection of the information. This thesis presents an authorization model that applies two basic aspects: control of users' access to data values, and control of administrators' access to data definitions and authorization rules. The model...
Show moreThe incorporation of object-oriented and semantic modeling concepts to databases is one of the most significant advances in the evolution of database systems. Among the many issues brought along by this integration, one that becomes important is the protection of the information. This thesis presents an authorization model that applies two basic aspects: control of users' access to data values, and control of administrators' access to data definitions and authorization rules. The model consists of a set of policies, a structure for authorization rules, algorithms for access request validation and procedures for administrative functions. Even though this model is developed in the context of a particular data model, the discussion is sufficiently general and can be applied to similar environments.
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Date Issued
1990
PURL
http://purl.flvc.org/fcla/dt/14592
Subject Headings
Object-oriented databases, Data base security, Computers--Access control
Format
Document (PDF)
method for adding multimedia knowledge for improving intrusion detection systems
Title
A method for adding multimedia knowledge for improving intrusion detection systems.
Creator
Baillargeon, Pierre Elliott., Florida Atlantic University, Marques, Oge
Abstract/Description
Intrusion Detection Systems (IDS) are security tools which monitor systems and networks for malicious activity. In saturated network links the amount of data present for analysis can overwhelm them, resulting in potentially undetected attacks. Many of these network links contain significant amounts of multimedia traffic which may seem to contribute to the problem, however our work suggests otherwise. This thesis proposes a novel method to classify and analyze multimedia traffic in an effort...
Show moreIntrusion Detection Systems (IDS) are security tools which monitor systems and networks for malicious activity. In saturated network links the amount of data present for analysis can overwhelm them, resulting in potentially undetected attacks. Many of these network links contain significant amounts of multimedia traffic which may seem to contribute to the problem, however our work suggests otherwise. This thesis proposes a novel method to classify and analyze multimedia traffic in an effort to maximize the efficiency of IDS. By embedding multimedia-specific knowledge into IDS, trusted multimedia contents can be identified and allowed to bypass the detection engine, thereby allowing IDS to focus its limited resources on other traffic. The proposed framework also enables IDS to detect multimedia-specific exploits which would otherwise pass under the radar. Results of our experiments confirm our claims and show substantial CPU savings in both streaming and non-streaming scenarios.
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Date Issued
2005
PURL
http://purl.flvc.org/fcla/dt/13242
Subject Headings
Computer networks--Security measures, Computers--Access control, Electronic countermeasures, Digital watermarking, Multimedia systems--Security measures
Format
Document (PDF)
A Study on Partially Homomorphic Encryption Schemes
Title
A Study on Partially Homomorphic Encryption Schemes.
Creator
Mithila, Shifat P., Karabina, Koray, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Mathematical Sciences
Abstract/Description
High processing time and implementation complexity of the fully homomorphic encryption schemes intrigued cryptographers to extend partially homomorphic encryption schemes to allow homomorphic computation for larger classes of polynomials. In this thesis, we study several public key and partially homomorphic schemes and discuss a recent technique for boosting linearly homomorphic encryption schemes. Further, we implement this boosting technique on CGS linearly homomorphic encryption scheme to...
Show moreHigh processing time and implementation complexity of the fully homomorphic encryption schemes intrigued cryptographers to extend partially homomorphic encryption schemes to allow homomorphic computation for larger classes of polynomials. In this thesis, we study several public key and partially homomorphic schemes and discuss a recent technique for boosting linearly homomorphic encryption schemes. Further, we implement this boosting technique on CGS linearly homomorphic encryption scheme to allow one single multiplication as well as arbitrary number of additions on encrypted plaintexts. We provide MAGMA source codes for the implementation of the CGS scheme along with the boosted CGS scheme.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004840, http://purl.flvc.org/fau/fd/FA00004840
Subject Headings
Computer networks--Security measures., Computer security., Computers--Access control--Code words., Cyberinfrastructure., Computer network architectures., Cryptography., Number theory--Data processing.
Format
Document (PDF)