Sökning: "network device identification"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden network device identification.

  1. 1. Generic Encrypted Traffic Identification using Network Grammar : A Case Study in Passive OS Fingerprinting

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Lukas Rajala; Kevin Scott; [2022]
    Nyckelord :Passive OS Fingerprinting; Encrypted Traffic Identification; Automated Traffic Analysis; Machine Learning; Supervised Learning; Networks; Packet Classification; Security and Privacy;

    Sammanfattning : The increase in cybercrime and cyber-warfare has spurred the cat-and-mouse game of finding and attacking vulnerable devices on government or private company networks. The devices attacked are often forgotten computers that run operating systems with known exploits. LÄS MER

  3. 2. Gunshot Detection from Audio Streams in Portable Devices

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

    Författare :Linnea Bokelund; Ellen Grane; [2022]
    Nyckelord :machine learning; gunshot detection; convolutional neural networks; sound event detection; portable devices; Technology and Engineering;

    Sammanfattning : Machine learning and artificial neural networks can be used to classify or detect specific sound events in audio signals. Gunshot detection is one use case for such networks and can be used to help law enforcement by alerting officers or triggering camera recordings. LÄS MER

  4. 3. Network Device Enumeration and Identification Using Passive Asset Detection

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Filip Klang; [2021]
    Nyckelord :;

    Sammanfattning : As society strives for an increasing amount of connectivity and digitalization to increase accessibility and productivity, society is also more vulnerable than ever before. Thus, societal, business and personal infrastructure is the most vulnerable it has ever been. LÄS MER

  5. 4. Network Device Enumeration and Identification Using Passive Asset Detection

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Filip Klang; [2021]
    Nyckelord :;

    Sammanfattning : As society strives for an increasing amount of connectivity and digitalization to increase accessibility and productivity, society is also more vulnerable then ever before. Thus, societal, business and personal infrastructure is the most vulnerable it has ever been. LÄS MER

  7. 5. Authentication and Identification of Sensor Nodes to Avoid Unauthorized Access in Sensor Networks

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

    Författare :Michael Henriksson; [2020]
    Nyckelord :Sensor network; Key distribution center; Zigbee; CHAP; Device authentication; Sensornätverk; Key distribution center; Zigbee; CHAP; Autentisering;

    Sammanfattning : With the increasing popularity of Internet of Things (IoT), network connected devices and sensors, to easier collect data is security an aspect that must not be forgotten. When sensitive data, such as personal or private data, is sent over the network without protection can it easier be obtained by anyone who want to get their hands on it. LÄS MER