I-Corps: Blockchain-backed system that establishes the provenance of digital images and videos
I-Corps:区块链支持的系统,可确定数字图像和视频的来源
基本信息
- 批准号:2011744
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-06-01 至 2022-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project explores translation of a media authentication technology. In an increasingly digitized world, this technology allows for anyone to instantly check the authenticity of an image or video. This technology can be used in a number of applications, such as verification of video recordings, copyright management, supply chain management, chain-of-custody processes, and other uses. This I-Corps project advances the development of blockchain-backed technology to provide a visual proof of occurrence of an event. The technology frontend allows a controlled capture of images and/or videos, computes a unique signature of the media, and collects metadata such as date, time, ownership. and device identification. In the backend, a blockchain places the unique signature and meta information in a block committed upon consensus by two-thirds of the blockchain participants. Blockchain consensus guarantees the immutability of the media once the block is committed. A certified recipient can re-compute the unique signature from the file, search the blockchain for a matching block, obtain proof that the media is authentic, and instantly obtain the metadata, such as the date and time. The content creator could be anonymized or copyright information can be validated.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这个I-Corps项目的更广泛的影响/商业潜力探索了媒体认证技术的翻译。 在日益数字化的世界中,这项技术允许任何人立即检查图像或视频的真实性。该技术可用于许多应用,例如视频记录的验证、版权管理、供应链管理、监管链流程和其他用途。这个I-Corps项目推动了区块链支持技术的发展,为事件的发生提供了视觉证据。该技术前端允许图像和/或视频的受控捕获,计算媒体的唯一签名,并收集元数据,如日期,时间,所有权。和设备标识。在后端,区块链将唯一的签名和Meta信息放在一个由三分之二的区块链参与者达成共识的区块中。区块链共识保证了块提交后媒体的不变性。经过认证的接收者可以从文件中重新计算唯一签名,在区块链中搜索匹配的区块,获得媒体真实性的证明,并立即获得元数据,例如日期和时间。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Shweta Jain其他文献
A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids
智能电网需求响应中基于多臂强盗的客户子集选择激励机制
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Shweta Jain;Sujit Gujar - 通讯作者:
Sujit Gujar
IMPLEMENTATION OF PROBABILITY-BASED PRIORITY-DRIVEN STRIDE SCHEDULING IN DISTRIBUTED SYSTEM
分布式系统中基于概率的优先级驱动步长调度的实现
- DOI:
10.26483/ijarcs.v8i8.4776 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Shweta Jain - 通讯作者:
Shweta Jain
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
MAIRE - 用于解释分类器的与模型无关的可解释规则提取过程
- DOI:
10.1007/978-3-030-84060-0_21 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Rajat Sharma;N. Reddy;V. Kamakshi;N. C. Krishnan;Shweta Jain - 通讯作者:
Shweta Jain
A Comparative Study of Intrathecal Fentanyl and Dexmedetomidine as Adjuvants to Hyperbaric Levobupivacaine 0.5% and Hyperbaric Levobupivacaine 0.5% Alone in Infraumbilical Surgeries
A%20比较%20研究%20of%20鞘内%20芬太尼%20和%20右美托咪定%20as%20佐剂%20至%20高压%20左布比卡因%200.5%%20和%20高压%20左布比卡因%200.5%%20单独%20in %20脐下%20手术
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Shweta Jain;G. Sharma;U. Bafna;Dilip Jain;S. Meena;Pranav Jetley;G. Das - 通讯作者:
G. Das
Analysis of Multi Level Feedback Queue Scheduling Using Markov Chain Model with Data Model Approach
基于数据模型方法的马尔可夫链模型多级反馈队列调度分析
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Shweta Jain;Dr. Saurabh Jain - 通讯作者:
Dr. Saurabh Jain
Shweta Jain的其他文献
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{{ truncateString('Shweta Jain', 18)}}的其他基金
CISE-MSI:RCBP-ED:SaTC: Cultivating and Developing Research Talent to Support Research in Cyber-Security
CISE-MSI:RCBP-ED:SaTC:培养和发展研究人才以支持网络安全研究
- 批准号:
2131182 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
PFI-TT: A system to secure and verify location, time, metadata, and authenticity of digital images and videos
PFI-TT:保护和验证数字图像和视频的位置、时间、元数据和真实性的系统
- 批准号:
2122682 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: E-Witness: Preserve and Prove Forensic Soundness of Digital Evidence
EAGER:协作研究:电子证人:保存并证明数字证据的法证可靠性
- 批准号:
1742919 - 财政年份:2017
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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