Sökning: "DM"

Visar resultat 16 - 20 av 656 uppsatser innehållade ordet DM.

  1. 16. Designing a Novel RPL Objective Function & Testing RPL Objective Functions Performance

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

    Författare :Khalil Mardini; Emad Abdulsamad; [2023]
    Nyckelord :Routing protocol for low-power and lossy networks RPL ; Wireless Sensor Networks WSN ; The Internet of Things IoT ; Objective Function OF ; Low-Power and Lossy Networks LLNs ; Expected Transmission Count ETX ; Min- imum Rank with Hysteresis Objective Function MRHOF ; Packet Delivery Ratio PDR ; Directed Acyclic Graph DODAG ;

    Sammanfattning : The use of Internet of Things systems has increased to meet the need for smart systems in various fields, such as smart homes, intelligent industries, medical systems, agriculture, and the military. IoT networks are expanding daily to include hundreds and thousands of IoT devices, which transmit information through other linked devices to reach the network sink or gateway. LÄS MER

  2. 17. Testing IoT Security : A comparison of existing penetration testing frameworks and proposing a generic framework

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

    Författare :Alva Widerberg Palmfeldt; William Mattsson; [2023]
    Nyckelord :Internet of Things; penetration testing; standardization; framework; vulnerability exploitation;

    Sammanfattning : The Internet of Things (IoT) refers to the billions of physical devices linked to the Internet worldwide, integrating into various systems like healthcare, finance, and transportation. However, the rapid market expansion has led to software and hardware security shortcomings, leaving IoT devices vulnerable to cybercriminals. LÄS MER

  3. 18. 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

  4. 19. Evaluation of liver and fur copper concentrations in dairy cows : in relation to dietary intake of copper and molybdenum

    Master-uppsats, SLU/Dept. of Animal Nutrition and Management

    Författare :Ida Hansen; [2023]
    Nyckelord :copper; copper status; dairy cow; fur; liver; molybdenum; ruminant;

    Sammanfattning : Koppar (Cu) har en avgörande roll i flera viktiga metaboliska funktioner och är en essentiell mineral för idisslare. Kopparbrist kan resultera i ett flertal problem som påverkar djurets hälsa och produktion, men även överutfodring av Cu kan resultera i allvarliga kliniska symptom på grund av ackumulering av Cu i levern. LÄS MER

  5. 20. Optimizing Lexicon-Based Sentiment Analysis for COVID-19 Twitter : Interactions in Health Contexts

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

    Författare :Jafari Ramin; [2023]
    Nyckelord :Sentiment analysis; COVID-19 pandemic; Twitter; Lexicon-based techniques; VADER algorithm;

    Sammanfattning : During the COVID-19 pandemic, the surge in social media usage has elevated interestin sentiment analysis, especially for health-related applications. This bachelor thesisexplores the effectiveness of two lexicon-based sentiment analysis techniques, with afocus on enhancing the accuracy of the Valence Aware Dictionary for SentimentReasoning (VADER) algorithm. LÄS MER