Essays about: "network attack"
Showing result 1 - 5 of 216 essays containing the words network attack.
-
1. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. READ MORE
-
2. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. READ MORE
-
3. A Prevention Technique for DDoS Attacks in SDN using Ryu Controller Application
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Software Defined Networking (SDN) modernizes network control, offering streamlined management. However, its centralized structure makes it more vulnerable to distributed Denial of Service (DDoS) attacks, posing serious threats to network stability. READ MORE
-
4. A cybersecurity audit of the Garmin Venu
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The presence of smart wearables has established itself as a norm of the 21 st century, but the state of their trustworthiness from the viewpoint of personal safety remains debatable. The information gathered by such devices has great potential for personal safety risks and must be handled safely. READ MORE
-
5. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : 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. READ MORE
