Sökning: "Malware Detection"

Visar resultat 1 - 5 av 42 uppsatser innehållade orden Malware Detection.

  1. 1. Android Malware Detection Using Machine Learning

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Rahul Sai Kesani; [2024]
    Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

  3. 2. Literature review on trustworthiness of Signature-Based and Anomaly detection in Wireless Networks

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Josephine Spångberg; Vainius Mikelinskas; [2023]
    Nyckelord :Cyber threats; Malware; Cyber attacks; Signature Based Detection; Anomaly Detection; Cyber defense; Sophisticated attacks; Modern cyberattacks; malware detection in wireless network; IoT;

    Sammanfattning : The internet has become an essential part of most people's daily lives in recent years, and as more devices connect to the internet, the risk of cyber threats increases dramatically. As malware becomes more sophisticated, traditional security prevention measures are becoming less effective at defending from cyber attacks. LÄS MER

  4. 3. Masking revealing hardware attributes in the source code of a hypervisor : A study exploring strategies to hide the identity of virtual environments during malware analysis

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Kevin Engström; Robin Lenz; [2023]
    Nyckelord :Sandbox detection; analysis evasion; virtual environment; masking;

    Sammanfattning : Background: Malware is responsible for a significant part of the ever increasing cost of cyberattacks. Malware analysis is an important part in minimizing these costs. LÄS MER

  5. 4. A command-and-control malware design using cloud covert channels : Revealing elusive covert channels with Microsoft Teams

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

    Författare :Massimo Bertocchi; [2023]
    Nyckelord :Covert channel; Command and Control; Microsoft Teams; Detection; Hemlig kanal; ledning och kontroll; Microsoft Teams; upptäckt;

    Sammanfattning : With the rise of remote working, business communication platforms such as Microsoft Teams have become indispensable tools deeply ingrained in the workflow of every employee. However, their increasing importance have made the identification and analysis of covert channels a critical concern for both individuals and organizations. LÄS MER

  7. 5. Evaluation of machine learning models for classifying malicious URLs

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Shayan Abad; Hassan Gholamy; [2023]
    Nyckelord :Machine learning; Cyber security; Classification; Malicious URL; Instance selection;

    Sammanfattning : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. LÄS MER