Advances in Data Security and Management

The field of data security and management is moving towards decentralized and distributed solutions, leveraging technologies such as blockchain and peer-to-peer networks to protect data integrity and improve scalability. Researchers are exploring innovative approaches to mitigate cyber threats, including the use of data-plane telemetry to detect and prevent long-distance BGP hijacks. Additionally, there is a growing interest in data virtualization to support machine learning workflows and improve the efficiency of data management. Noteworthy papers include:

  • Chain Table, which introduces an in-database design to protect data integrity without the need for a blockchain system.
  • Data-Plane Telemetry to Mitigate Long-Distance BGP Hijacks, which presents a novel approach to detecting and preventing BGP hijacks using delay variations.

Sources

Chain Table: Protecting Table-Level Data Integrity by Digital Ledger Technology

Iran's Stealth Internet Blackout: A New Model of Censorship

IDSS, a Novel P2P Relational Data Storage Service

Data-Plane Telemetry to Mitigate Long-Distance BGP Hijacks

SENSOR: A Cost-Efficient Open-Source Flow Monitoring Platform

Data Virtualization for Machine Learning

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