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- Adversarial Attack (1)
- Classic McEliece cryptosystem (1)
- Code-based Cryptography (1)
- Deep Neural Networks (1)
- Information Set Decoding algorithm (1)
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- Machine Translation System (1)
- Neural Networks (1)
- Polynomial hash d-decimated Horner (1)
- Post-quantum Cryptography (1)
- Provable Security; Symmetric Cryptography; Authenticated Encryption; Hash Function; Committing Security (1)
- Symmetric cryptography; Cryptanalysis; Block ciphers; Hash functions (1)
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Articles 1 - 4 of 4
Full-Text Articles in Cybersecurity
Some Studies On Information Set Decoding Algorithms And Universal Hash Functions, Sreyosi Bhattacharyya
Some Studies On Information Set Decoding Algorithms And Universal Hash Functions, Sreyosi Bhattacharyya
Doctoral Theses
This thesis presents some studies on Information Set Decoding algorithms and Universal Hash Functions. In the context of Information Set Decoding (ISD) the thesis studies time/memory trade-off of ISD algorithms and in the context of universal hash functions, the thesis studies design and efficient implementations of polynomial hash functions defined over prime order fields. A cornerstone of ISD algorithms is the algorithm proposed by Stern and it introduced the meet-in-the-middle collision search approach to ISD algorithms. Though this algorithm is more efficient in terms of asymptotic time complex- ity than the preceding algorithms proposed by Prange, Lee and Brickell and …
Advanced Techniques In Symmetric Key Cryptanalysis, Debasmita Chakraborty
Advanced Techniques In Symmetric Key Cryptanalysis, Debasmita Chakraborty
Doctoral Theses
Symmetric key cryptographic primitives are essential tools used extensively in daily digital interactions. These primitives are mainly designed to provide three key services: ensuring data confidentiality, maintaining data integrity, and verifying the authenticity of data sources. The primary types of symmetric key primitives that deliver these services include block ciphers, stream ciphers, hash functions, message authentication codes, and authenticated encryption with associated data. This thesis mainly explores the security analysis of hash functions, several block ciphers, and stream ciphers using some advanced cryptanalytic techniques. We begin by examining the collision security of a hash function, specifically under the assumption that …
Provable Security In Idealised Models, Chandranan Dhar
Provable Security In Idealised Models, Chandranan Dhar
Doctoral Theses
This thesis is a compilation of provable security analyses of various cryptographic constructions in idealised models. The first construction examined is the ABR hash. We revisit the existing proof of the ABR hash in the random oracle model and identify significant errors in the proof. Although we are unable to correct the original proof, we establish the security of the ABR tree of height 3 from scratch, addressing the first non-trivial case. As our second contribution, we conduct a tight and comprehensive security analysis of the Ascon AEAD mode in the random permutation model. We show that the efficiency of …
Adversarial Attack On Neural Machine Translation System, Abijith K. P.
Adversarial Attack On Neural Machine Translation System, Abijith K. P.
Master’s Dissertations
Nowadays Deep Neural Network based solutions are deployed to solve numerous tasks. Thus, it has become absolutely important to study the robustness of these systems. Machine Translation is one of the popular applications of Deep Neural Networks. This thesis studies the robustness of Neural Machine Translation systems by generating adversarial examples with the objective to fool the model. Whenever there is a change in the source, i.e. when a word in the input sentence is replaced by an unrelated word, the translation system is supposed to reflect the changes while doing translation. These unwanted invariance learned by the model is …