Sökning: "Encodings"

Visar resultat 1 - 5 av 24 uppsatser innehållade ordet Encodings.

  1. 1. Antivirus performance in detecting Metasploit payloads : A Case Study on Anti-Virus Effectiveness

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Eric Nyberg; Leandro Dinis Ferreira; [2023]
    Nyckelord :Metasploit; Anti-Virus Effectivness; AV Effectiveness; MSFVenom; Antivirus; AV Software; Metasploit Encoding; Encodings; Detection rates; AV Efficiency; Antivirus efficiency; payloads; payload detection..;

    Sammanfattning : This paper will focus solely on the effectiveness of AV (antivirus) in detecting Metasploit payloads which have been encapsulated with different encapsulation modules. There seems to be a significant knowledge gap in the evaluation of commercial antivirus's software and their ability to detect malicious code and stop such code from being executed on IT systems. LÄS MER

  3. 2. Regression with Bayesian Confidence Propagating Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Raghav Rajendran Bongole; [2023]
    Nyckelord :Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Sammanfattning : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. LÄS MER

  4. 3. Compression Selection for Columnar Data using Machine-Learning and Feature Engineering

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Douglas Persson; Ludvig Juelsson Larsen; [2023]
    Nyckelord :Machine Learning; XGBoost; Classification; Feature Engineering; Compression Algorithms; Data Encodings; Database Management System DBMS ; Column- Oriented DBMS;

    Sammanfattning : There is a continuously growing demand for improved solutions that provide both efficient storage and efficient retrieval of big data for analytical purposes. This thesis researches the use of machine-learning together with feature engineering to recommend the most cost-effective compression algorithm and encoding combination for columns in a columnar database management system (DBMS). LÄS MER

  5. 4. Distance preserving Fermat VAE

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Miklovana Tuci; [2022]
    Nyckelord :;

    Sammanfattning : Deep neural networks takes their strength in the representations, or features, that they internally build. While these internal encodings help networks performing classification or regression tasks on specific data types, it exists a branch of machine learning that has for only purpose to build these representations. LÄS MER

  7. 5. Evaluating performance of homomorphic encryption applied on delta encoding

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :János Richard Dani; [2022]
    Nyckelord :homomorphic encryption; delta encoding; performance test;

    Sammanfattning : Homomorphic encryption is an encryption scheme that allows for simple operations on encrypted data. These operations are mainly boolean circuits combined into more complexarithmetic operations, rotations, and others. Homomorphic encryption was first implemented in 2009, and in the following decade, many different versions emerged. LÄS MER