Sökning: "confidential"
Visar resultat 1 - 5 av 186 uppsatser innehållade ordet confidential.
1. Säker i det digitala landskapet : En studie om betydelsen av internutbildning inom cybersäkerhet
Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och mediaSammanfattning : Digitaliseringens framsteg ökar organisationers sårbarhet mot cyberhot och konsekvenserna vid attacker kan bli mycket kostsamma. Trots starka tekniska skydd lämnas organisationer sårbara på grund av den mänskliga faktorn. Säkerhetsmedvetenhet bland anställda blir därför avgörande för en organisations överlevnad. LÄS MER
2. The Public, The Police, and The Puzzle of Information
Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : When humans are involved, things can go wrong. This is a statement as factually true and yet dramatically undefined and dangerously ambiguous as any. No matter the industry or domain, where humans interact with other humans, perfect predictability is impossible and a focus on negative outcomes can seem natural. LÄS MER
3. Energy Poverty : Computing the silent problem of developed countries
Kandidat-uppsats, Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknikSammanfattning : Energy poverty is a new term in the Swedish context, though it is becoming increasingly more relevant because of inflation and higher prices for electricity. Because research on the matter is scarce in developed countries such as Sweden and similar contexts in the EU, it creates uncertainty whether there is a ‘correct’ way of conducting energy poverty research. LÄS MER
4. Security Management in Cloud Computing for healthcare Data
Magister-uppsats, Luleå tekniska universitetSammanfattning : "In today's research field interconnected world, preventing security issues and confidentiality breaches has become paramount to safeguarding sensitive information, and organizations must take proactive measures to ensure data security. Cloud computing enhances security management by reducing the likelihood of cyber-attacks. LÄS MER
5. Confidential Federated Learning with Homomorphic Encryption
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Federated Learning (FL), one variant of Machine Learning (ML) technology, has emerged as a prevalent method for multiple parties to collaboratively train ML models in a distributed manner with the help of a central server normally supplied by a Cloud Service Provider (CSP). Nevertheless, many existing vulnerabilities pose a threat to the advantages of FL and cause potential risks to data security and privacy, such as data leakage, misuse of the central server, or the threat of eavesdroppers illicitly seeking sensitive information. LÄS MER