Essays about: "malware"
Showing result 11 - 15 of 89 essays containing the word malware.
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11. Students’ Perception of Cyber Threat Severity : Investigating Alignment with Actual Risk Levels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study aims to investigate the alignment between students’ perception of cyber threats and their actual risk levels. A mixed-method approach was used, where data was collected from Swedish university students through questionnaires, capturing their perception, familiarity, experience, and protective behaviors. READ MORE
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12. Exploring IoT Security Threats and Forensic Challenges: A LiteratureReview and Survey Study
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Internet of Things (IoT) devices have increased rapidly in recent years, revolutionizing many industries, including healthcare, manufacturing, and transportation, and bringing benefits to both individuals and industries. However, this increase in IoT device usage has exposed IoT ecosystems to numerous security threats and digital forensic challenges. READ MORE
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13. How cybercrime has evolved in Sweden over the last ten years : A literature review
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : 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. READ MORE
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14. Impersonating a sandbox against evasive malware
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : 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. READ MORE
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15. Fast Classification of Obfuscated Malware with an Artificial Neural Network
University essay from KTH/DatavetenskapAbstract : 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. READ MORE
