Sökning: "Anti-virus"
Visar resultat 6 - 10 av 22 uppsatser innehållade ordet Anti-virus.
6. Ransomware
Kandidat-uppsats, Högskolan Kristianstad/Fakulteten för naturvetenskapSammanfattning : This thesis researches different ransomwares, how we can stop them and how their threat vectors work. It is important to notice that when solving one ransomware doesn’t solve the next incoming one. In this thesis we investigate six different ransomwares that spread between 2016-2019. LÄS MER
7. An Evaluation of Machine Learning Approaches for Hierarchical Malware Classification
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : With an evermore growing threat of new malware that keeps growing in both number and complexity, the necessity for improvement in automatic detection and classification of malware is increasing. The signature-based approaches used by several Anti-Virus companies struggle with the increasing amount of polymorphic malware. LÄS MER
8. Using Blockchain Techniques to Create an Opinion-Based Whitelisting Procedure
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Malware has proven to be a persistent problem with an increasing amount of variations, and new attack vectors are constantly being taken advantage of. Security specialists are always on the hunt for new technologies useful in the fight against malware. Blockchain technologies bring promises of high integrity, decentralization, and transparency. LÄS MER
9. Bypassing modern sandbox technologies
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Malware (malicious software) is becoming an increasing problem, as it continuously grows both in numbers and complexity. Traditional, signature based anti-virus systems are often incapable of detecting new, sophisticated malware, which calls for more advanced tools. LÄS MER
10. Malicious Entity Categorization using Graph modelling
Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Today, malware authors not only write malicious software but also employ obfuscation, polymorphism, packing and endless such evasive techniques to escape detection by Anti-Virus Products (AVP). Besides the individual behavior of malware, the relations that exist among them play an important role for improving malware detection. LÄS MER