Sökning: "port security"

Visar resultat 16 - 20 av 59 uppsatser innehållade orden port security.

  1. 16. Building Datagram Transport Layer Security (DTLS)-based access control in the Internet-of-Things

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

    Författare :Chenxi Feng; [2020]
    Nyckelord :;

    Sammanfattning : With the widespread use of the Internet of Things (IoT), the security problem has raised social attention. Due to the limited calculation ability of the constrained device, it is difficult to download the defense software inside and the device just can use the built-in encryption mechanisms to defend attack. LÄS MER

  3. 17. Cache Poisoning in DNS over HTTPS clients

    M1-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Emilia Blidborg; Caroline Gunnarsson; [2020]
    Nyckelord :;

    Sammanfattning : Abstract DNS over HTTPS (DoH) is a protocol used to send traditiona lDNS traffic over HTTPS.This causes the DNS name resolving traffic to be encrypted and transmitted over the same port as regular HTTP Straffic. LÄS MER

  4. 18. Constructing and Evaluating a Raspberry Pi Penetration Testing/Digital Forensics Reconnaissance Tool

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Marcus Lundgren; Johan Persson; [2020]
    Nyckelord :Scapy; Python 3; Aircrack-ng; Reconnaissance Tool; Penetration testing; Wi-Fi Cracking; Password Cracking; Raspberry Pi;

    Sammanfattning : Tools that automate processes are always sough after across the entire IT field. This project's aim was to build and evaluate a semi-automated reconnaissance tool based on a Raspberry Pi 4, for use in penetration testing and/or digital forensics. LÄS MER

  5. 19. Design and implementation of an AI-based Face Recognition model in Docker Container on IoT Platform

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Adil Shaik; Uma Vidyadhari Chetlur; [2020]
    Nyckelord :;

    Sammanfattning : Our thesis aims to develop and implement an AI-based model for face recognition using the Docker container, such that it can be transferable to any IoT platform. The main objective of the thesis is to develop an AI-based face recognition Model (which is implemented following the Deep Learning algorithm)for the security system for making decisions to lock or unlock the door system and to deploy the developed AI Model in a Docker Container on an IoT platform. LÄS MER

  7. 20. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems

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

    Författare :Sai Shyamsunder Kamat; [2019]
    Nyckelord :anomaly; cyber security; evaluation; machine learning; radial basis function; random forest classifier; supervised learning; anomali; cybersäkerhet; utvärdering; maskininlärning; radialbaserad funktion; slumpmässig skogsklassificering; övervakad inlärning;

    Sammanfattning : In the 21st century, information is the new currency. With the omnipresence of devices connected to the internet, humanity can instantly avail any information. However, there are certain are cybercrime groups which steal the information. LÄS MER