Sökning: "Fully Homomorphic Encryption"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Fully Homomorphic Encryption.

  1. 1. XZDDF Bootstrapping in Fully Homomorphic Encryption

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Simon Ljungbeck; [2024]
    Nyckelord :Fully Homomorphic Encryption; Homomorphic Encryption; Bootstrapping; Blind Rotation; XZDDF; Technology and Engineering;

    Sammanfattning : Despite the vast research on the topic in recent years, fully homomorphic encryption schemes remain time-inefficient. The main bottleneck is the so-called bootstrapping, whose purpose is to reduce noise that has accumulated after having performed homomorphic operations on a ciphertext. LÄS MER

  3. 2. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Shiwei Dong; [2023]
    Nyckelord :;

    Sammanfattning : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. LÄS MER

  4. 3. Homomorphic encryption

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Daniel Sanaee; [2023]
    Nyckelord :Mathematics; Cryptography; Computer science; Group Theory; Matematik; Kryptografi; Datalogi; Gruppteori;

    Sammanfattning : The problem of constructing a secure encryption scheme that allows for computation on encrypted data was an open problem for more than 30 years. In 2009, Craig Gentry solved the problem, constructing the first fully homomorphic encryption (FHE) scheme. LÄS MER

  5. 4. Privacy Preserving Biometric Multi-factor Authentication

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Emil Gedenryd; [2023]
    Nyckelord :Fully Homomorphic Encryption; Machine Learning; Biometric Authentication; Technology and Engineering;

    Sammanfattning : This thesis investigates the viability of using Fully Homomorphic Encryption and Machine Learning to construct a privacy-preserving biometric multi-factor authentication system. The system is based on the architecture described as ”Model K - Store distributed, compare distributed” in ISO/IEC 24745:2022 and uses the Torus Fully Homomorphic Encryption scheme proposed by Chillotti et al. LÄS MER

  7. 5. Malicious Activity Detection in Encrypted Network Traffic using A Fully Homomorphic Encryption Method

    Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Resmi Adiyodi Madhavan; Ann Zenna Sajan; [2022]
    Nyckelord :Malicious Activity Detection; Cloud Computing; Network Traffic; Fully Homomorphic Encryption FHE ; Machine Learning; Random Forest RF ; Logistic Regession LR ;

    Sammanfattning : Everyone is in need for their own privacy and data protection, since encryption transmission was becoming common. Fully Homomorphic Encryption (FHE) has received increased attention because of its capability to execute calculations over the encoded domain. Through using FHE approach, model training can be properly outsourced. LÄS MER