用於改善隱私和安全計算的各種技術
市場調查報告書
商品編碼
1351269

用於改善隱私和安全計算的各種技術

Privacy-Enhancing & Secure Computing Technologies

出版日期: | 出版商: ABI Research | 英文 42 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

本報告考察了隱私增強和安全計算的各種技術的市場,包括各種技術和解決方案的概述、市場影響因素和市場機會的分析以及主要供應商的分析。

報告的優點:

  • 了解用於保護隱私和機密性的各種安全技術的商業演變
  • 確定各種隱私增強技術 (PET) 和機密計算 (CC) 成熟的現實時間表
  • 確定 PET 和 CC 的目標市場和商業模式

關鍵問題的答案:

  • 使用哪些安全技術來確保機密性和隱私?
  • 哪些供應商提供 PET 和 CC 服務以及他們如何提供這些服務?
  • PET 和 CC 的市場機會有哪些?

研究亮點:

  • 目前市面上可用的 PET 和 CC 解決方案的概要視圖
  • PET 與 CC 供應商生態系概覽
  • 各種 PET 和 CC 技術的 TAM

目錄

  • 技術概述
  • 多方計算
  • 同態加密
  • 差異隱私
  • 零知識證明
  • 綜合數據
  • 聯邦學習
  • TEE(可信任執行環境)
  • CC(機密計算)
  • TPM(可信任平台模組)
  • HSM(硬體安全模組)
  • 加密金鑰管理與公鑰基礎設施
  • 分散式帳本技術
  • 分析
  • 摘要
簡介目錄
Product Code: PT-2289

Actionable Benefits:

  • Understand commercial developments of different security technologies being leveraged for privacy and confidentiality
  • Determine a realistic timeline for maturity of various Privacy Enhancing Technologies (PETs) and Confidential Computing (CC).
  • Identify target markets and business models for delivery of PET and CC.

Critical Questions Answered:

  • What types of security technologies are being leveraged for confidentiality and privacy?
  • Which vendors are offering PET and CC services and how are they delivering them?
  • What is the market opportunity for PET and CC?

Research Highlights:

  • High-level view of PET and CC solutions currently available on the market.
  • PET and CC vendor ecosystem snapshot.
  • Total Addressable Market (TAM) for various PET and CC technologies.

Who Should Read This?

  • Artificial Intelligence (AI)/Machine Learning (ML) developers to understand how to implement privacy and confidentiality.
  • Silicon Intellectual Property (IP) and semiconductor manufacturers to develop appropriate underlying secure hardware.
  • PET and CC vendors to forge partnerships for integration and interoperability.
  • Regulators and standards development organizations in order to assess technology specification maturity.

Table of Contents

  • Introduction
  • Technology Overview
  • Multi-Party Computation
  • Homomorphic Encryption
  • Differential Privacy
  • Zero-Knowledge Proof
  • Synthetic Data
  • Federated Learning
  • Trusted Execution Environment
  • Confidential Computing
  • Trusted Platform Module
  • Hardware Security Module
  • Encryption Key Management & Public Key Infrastructure
  • Distributed Ledger Technology
  • Analysis
  • Summary