A Risk Assessment Framework of Cyanobacteria Bloom Using Landsat Data: A Case Study of Lake Longgan (China)

2020 ◽  
Author(s):  
Siqi Wang ◽  
Xiang Zhang ◽  
Nengcheng Chen ◽  
Wenying Du ◽  
Chuli Hu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Landsat Data ◽  
Assessment Framework ◽  
Cyanobacteria Bloom

scholarly journals CARAF: Crypto Agility Risk Assessment Framework

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Chujiao Ma ◽  
Luis Colon ◽  
Joe Dera ◽  
Bahman Rashidi ◽  
Vaibhav Garg
Keyword(s):  
Risk Assessment ◽  
Ad Hoc ◽  
Risk Tolerance ◽  
Mitigation Strategy ◽  
Risk Exposure ◽  
Assessment Framework ◽  
Security Risk ◽  
Acceptable Risk ◽  
Long Time

Abstract Crypto agility refers to the ability of an entity to replace existing crypto primitives, algorithms, or protocols with a new alternative quickly, inexpensively, with no or acceptable risk exposure. These changes may be driven by regulatory action, advances in computing, or newly discovered vulnerabilities. Yet everyday operational needs may put crypto agility considerations on the back burner when deploying technology, designing processes, or developing products/services. Consequently, changes are often performed in an ad hoc manner. Transition from one crypto solution to another can then take a long time and expose organizations to unnecessary security risk. This paper presents a framework to analyze and evaluate the risk that results from the lack of crypto agility. The proposed framework can be used by organizations to determine an appropriate mitigation strategy commensurate with their risk tolerance. We demonstrate the application of this framework with a case study of quantum computing and related threats to cryptography in the context of TLS for Internet of Things.

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