An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption

Honey Encryption (HE) is a cryptosystem used as a reinforcement to the conventional encryption scheme to address brute-force attacks specifically in the context of password-based encryption systems. The HE scheme relies on a model called the Distribution Transforming Encoder (DTE), which focuses on...

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Main Author: Omolara, Abiodun Esther
Format: Thesis
Language:English
Published: 2020
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Online Access:http://eprints.usm.my/54016/1/ABIODUN%20ESTHER%20OMOLARA%27S%20THESIS.pdf
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spelling my-usm-ep.540162022-08-12T02:11:26Z An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption 2020-03 Omolara, Abiodun Esther QA75.5-76.95 Electronic computers. Computer science Honey Encryption (HE) is a cryptosystem used as a reinforcement to the conventional encryption scheme to address brute-force attacks specifically in the context of password-based encryption systems. The HE scheme relies on a model called the Distribution Transforming Encoder (DTE), which focuses on the use of deception as a key defensive approach in the design of primitives that facilitate information security by yielding plausible-looking but fake plaintext during decryption using an incorrect key. However, the concept of the HE scheme is limited by the bottleneck of applicability and thus fails to reach other real-world deployment use-cases. For instance, encoding a human-generated message such as email requires adapting the scheme to natural language which means re-designing the current deterministic encoder to generate plausible or realistic decoys message that can fool the attacker. This problem remains unsolved because of the few researches on enhancing the DTE fails to produce plausible decoy messages in human-language. Furthermore, they fail to introduce secrecy on the fake message as keywords or fragments of the underlying plaintext message are revealed during decryption, thus, enabling the system to a chosen-ciphertext attack where an attacker may use the results from prior decryption to inform their choices of which ciphertexts have decrypted. The two main contributions of this work are its responses to these two problems. A natural language-based encoder (NLBE) was developed and an approach for concealing the underlying plaintext and producing plausible decoy messages is presented. Experimental analysis using human simulators as the gold standard shows a 94% indistinguishability rate in the worst case where an unbounded adversary can explore the complete Oracle and a 100% indistinguishability rate when the keyspace is large enough. 2020-03 Thesis http://eprints.usm.my/54016/ http://eprints.usm.my/54016/1/ABIODUN%20ESTHER%20OMOLARA%27S%20THESIS.pdf application/pdf en public phd doctoral Perpustakaan Hamzah Sendut Pusat Pengajian Sains Komputer
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA75.5-76.95 Electronic computers
Computer science
spellingShingle QA75.5-76.95 Electronic computers
Computer science
Omolara, Abiodun Esther
An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption
description Honey Encryption (HE) is a cryptosystem used as a reinforcement to the conventional encryption scheme to address brute-force attacks specifically in the context of password-based encryption systems. The HE scheme relies on a model called the Distribution Transforming Encoder (DTE), which focuses on the use of deception as a key defensive approach in the design of primitives that facilitate information security by yielding plausible-looking but fake plaintext during decryption using an incorrect key. However, the concept of the HE scheme is limited by the bottleneck of applicability and thus fails to reach other real-world deployment use-cases. For instance, encoding a human-generated message such as email requires adapting the scheme to natural language which means re-designing the current deterministic encoder to generate plausible or realistic decoys message that can fool the attacker. This problem remains unsolved because of the few researches on enhancing the DTE fails to produce plausible decoy messages in human-language. Furthermore, they fail to introduce secrecy on the fake message as keywords or fragments of the underlying plaintext message are revealed during decryption, thus, enabling the system to a chosen-ciphertext attack where an attacker may use the results from prior decryption to inform their choices of which ciphertexts have decrypted. The two main contributions of this work are its responses to these two problems. A natural language-based encoder (NLBE) was developed and an approach for concealing the underlying plaintext and producing plausible decoy messages is presented. Experimental analysis using human simulators as the gold standard shows a 94% indistinguishability rate in the worst case where an unbounded adversary can explore the complete Oracle and a 100% indistinguishability rate when the keyspace is large enough.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Omolara, Abiodun Esther
author_facet Omolara, Abiodun Esther
author_sort Omolara, Abiodun Esther
title An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption
title_short An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption
title_full An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption
title_fullStr An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption
title_full_unstemmed An Enhanced Distribution Transforming Encoder (Dte) Of The Honey Encryption Scheme For Reinforcing Text-Based Encryption
title_sort enhanced distribution transforming encoder (dte) of the honey encryption scheme for reinforcing text-based encryption
granting_institution Perpustakaan Hamzah Sendut
granting_department Pusat Pengajian Sains Komputer
publishDate 2020
url http://eprints.usm.my/54016/1/ABIODUN%20ESTHER%20OMOLARA%27S%20THESIS.pdf
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