Sökning: "Networks attacks"

Visar resultat 1 - 5 av 200 uppsatser innehållade orden Networks attacks.

1. 1. EVALUATING CRYSTAL FRAMEWORK IN PRACTICE

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Victor Mertala; Nordin Christopher; [2024]
   Nyckelord :CRYSTAL Framework; Tiny Twin; Tiny Digital Twin; Rebeca; Timed Rebeca; monitor; cyber attacks;

   Sammanfattning : Cyber-physical systems (CPSs) are used in several industries, such as healthcare, automotive, manufacturing, and more. The fact that CPSs often contain components integrated via communication networks means that malicious actors can exploit vulnerabilities in these components through cyber attacks. LÄS MER

3. 2. Literature review on trustworthiness of Signature-Based and Anomaly detection in Wireless Networks

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Josephine Spångberg; Vainius Mikelinskas; [2023]
   Nyckelord :Cyber threats; Malware; Cyber attacks; Signature Based Detection; Anomaly Detection; Cyber defense; Sophisticated attacks; Modern cyberattacks; malware detection in wireless network; IoT;

   Sammanfattning : The internet has become an essential part of most people's daily lives in recent years, and as more devices connect to the internet, the risk of cyber threats increases dramatically. As malware becomes more sophisticated, traditional security prevention measures are becoming less effective at defending from cyber attacks. LÄS MER

4. 3. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Shiwei Dong; [2023]
   Nyckelord :;

   Sammanfattning : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. LÄS MER

5. 4. Adversarial robustness of STDP-trained spiking neural networks

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

   Författare :Karl Lindblad; Axel Nilsson; [2023]
   Nyckelord :;

   Sammanfattning : Adversarial attacks on machine learning models are designed to elicit the wrong behavior from the model. One such attack on image classifiers are maliciously crafted inputs that, to the human eye, look untampered with but have been carefully altered to cause misclassification. LÄS MER

7. 5. Intrusion Detection in IT Infrastructures using Hidden Markov Models

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

   Författare :Christopher Liu; Sabrina Al-Haddad; [2023]
   Nyckelord :;

   Sammanfattning : In the past decades, cloud based services have developed rapidly. And as a result, cybercrimehas increased in sophistication as well as frequency. It therefore becomes vital to have solidprotection against such attacks, especially for infrastructures containing sensitive information. LÄS MER