Sökning: "Android malware"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Android malware.

  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. Formally Verifying the Robustness of Machine Learning Models : A Comparative Study

    Master-uppsats, Linköpings universitet/Programvara och system

    Författare :Linnea Lundström; [2020]
    Nyckelord :Machine learning; Formal verification; Robustness;

    Sammanfattning : Machine learning models have become increasingly popular in recent years, and not without reason. They enable software to become more powerful, and with less human involvement. As a consequence however, the actions of the software are hard for a human to understand and anticipate. LÄS MER

  4. 3. Studying the effectiveness of dynamic analysis for fingerprinting Android malware behavior

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Viktor Regard; [2019]
    Nyckelord :Android malware; dynamic analysis; droidbox; cuckoodroid; droidscope; mobsf; malware behavior; correlation; pearson correlation; cosine similarity; euclidean distance; chebyshev distance; mahalanobis distance; similarity analysis; static features; dynamic features; tf-idf; term frequency inverse document frequency; AMD; Android malware dataset; malware dataset; UpDroid; EC2;

    Sammanfattning : Android is the second most targeted operating system for malware authors and to counter the development of Android malware, more knowledge about their behavior is needed. There are mainly two approaches to analyze Android malware, namely static and dynamic analysis. LÄS MER

  5. 4. Improving smartphone security with remote attestation

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Jesper Persson; [2017]
    Nyckelord :Remote attestation; mobile security;

    Sammanfattning : Smartphones are becoming increasingly powerful and useful in a work environment. This has led to their adoption at the workplace. Many companies hand out smartphones to their employees and allow employees to bring their own devices to work. There are multiple potential vulnerabilities with such a situation. LÄS MER

  7. 5. Intrusion Detection System for Android : Linux Kernel System Salls Analysis

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Martin Borek; [2017]
    Nyckelord :Android; security; malware; detection; system calls; ARM; Android; säkerhet; malware; detektion; systemanrop;

    Sammanfattning : Smartphones provide access to a plethora of private information potentially leading to financial and personal hardship, hence they need to be well protected. With new Android malware obfuscation and evading techniques, including encrypted and downloaded malicious code, current protection approaches using static analysis are becoming less effective. LÄS MER