Sökning: "malware"

Visar resultat 1 - 5 av 103 uppsatser innehållade ordet malware.

  1. 1. How cybercrime has evolved in Sweden over the last ten years : A literature review

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Henrik Tysk; [2022]
    Nyckelord :cybercrime; computer crime; phishing; internet fraud; malware; Sweden;

    Sammanfattning : The number of recorded cybercrime incidents has skyrocketed over the last few years. A large part of this development is due to society’s increased reliance on the internet and the backbone that supports it. This in turn increases the profitability of cybercrime. LÄS MER

  2. 2. Impersonating a sandbox against evasive malware

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Axel Lindorin; [2022]
    Nyckelord :evasive; malware; malware analysis; comparison; sandbox;

    Sammanfattning : The steadily increasing amount of malware puts an even larger amount of work required to analyze all the gathered samples. The current methods of analyzing malware come with their downsides such as inefficiency as a manual analysis requires a human or dynamic analysis that could be considered unreliable. LÄS MER

  3. 3. Fast Classification of Obfuscated Malware with an Artificial Neural Network

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Johan Luhr; Hannes Hallqvist; [2022]
    Nyckelord :;

    Sammanfattning : Malware has posed a problem ever since the first variant was created in the 1980s. As malware detection techniques have advanced, malware developers have in turn found better ways to hide and obfuscate malware. Machine learning (ML) has seen great expansion into many fields over the last years, this includes the field of cybersecurity. LÄS MER

  4. 4. Discovering and masking environmental features in modern sandboxes

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

    Författare :Alexander Ljungberg; Simon Smedberg; [2022]
    Nyckelord :Sandbox; Masking; Anti-VM; Anti-detection; Sandlåda; Maskering; Anti-VM; Antidetektering;

    Sammanfattning : Background. The awareness of cyber attacks in businesses is increasing with the rising number of cyber incidents for businesses. With nearly 350 000 new malware detected per day, there is a big incentive to allocate resources to company infrastructure to mitigate malware. These solutions require scalability not to become bottlenecks and expensive. LÄS MER

  5. 5. Increased evasion resilience in modern PDF malware detectors : Using a more evasive training dataset

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

    Författare :Oscar Ekholm; [2022]
    Nyckelord :Malware Analysis; Malicious PDF; Malware Detection; Machine Learning; Evasion; Analys av skadlig programvara; Skadlig PDF; Detektion av skadlig programvara; Maskininlärning; Undanflykt;

    Sammanfattning : The large scale usage of the PDF coupled with its versatility has made the format an attractive target for carrying and deploying malware. Traditional antivirus software struggles against new malware and PDF's vast obfuscation options. In the search of better detection systems, machine learning based detectors have been developed. LÄS MER