Sökning: "Decentralized Community Detection"

Hittade 3 avhandlingar innehållade orden Decentralized Community Detection.

  1. 1. Graph-based Analytics for Decentralized Online Social Networks

    Författare :Amira Soliman; Sarunas Girdzijauskas; Eiko Yoneki; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Decentralized Community Detection; Community-aware Learning; Spam Detection; Identity Validation; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : Decentralized Online Social Networks (DOSNs) have been introduced as a privacy preserving alternative to the existing online social networks.  DOSNs remove the dependency on a centralized provider and operate as distributed information management platforms. LÄS MER

  3. 2. Robust and Efficient Federated Learning for IoT Security

    Författare :Han Wang; Shahid Raza; György Dán; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Federated Learning; Machine Learning; Intrusion Detection System; Communication Efficiency; Robustness; Adversarial AI; Device Fingerprinting; Device Identification; Cyber Threat Intelligence; Computer Science with specialization in Computer Communication; Datavetenskap med inriktning mot datorkommunikation;

    Sammanfattning : The widespread adoption of Internet of Things (IoT) devices has led to substantial progress across various industrial sectors, including healthcare, transportation, and manufacturing. However, these devices also introduce significant security vulnerabilities because they are often deployed without adequate security measures, making them susceptible to cyber threats. LÄS MER

  4. 3. Gossip-based Algorithms for Information Dissemination and Graph Clustering

    Författare :Fatemeh Rahimian; Seif Haridi; Eiko Yoneki; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Decentralized algorithms are becoming ever more prevalent in almost all real-world applications that are either data intensive, computation intensive or both. This thesis presents a few decentralized solutions for large-scale (i) data dissemination, (ii) graph partitioning, and (iii) data disambiguation. LÄS MER