Ensuring Data Confidentiality with a Secure XTS-AES Design in Flash Translation Layer

2020 ◽  
Author(s):  
Qionglu Zhang ◽  
Shijie Jia ◽  
Junlin He ◽  
Xinyi Zhao ◽  
Luning Xia ◽  
...  
Keyword(s):  
Data Confidentiality ◽  
Flash Translation Layer

An Empirical Analysis of the Obtrusiveness of and Participants' Compliance with the Electronically Activated Recorder (EAR)

2007 ◽  
Vol 23 (4) ◽  
pp. 248-257 ◽  
Author(s):  
Matthias R. Mehl ◽  
Shannon E. Holleran
Keyword(s):  
Empirical Analysis ◽  
Sampling Method ◽  
Daily Life ◽  
Assessment Method ◽  
Data Confidentiality ◽  
Short Term ◽  
Naturally Occurring ◽  
Two Samples ◽  
Audio Recorder ◽  
Term Monitoring

Abstract. In this article, the authors provide an empirical analysis of the obtrusiveness of and participants' compliance with a relatively new psychological ambulatory assessment method, called the electronically activated recorder or EAR. The EAR is a modified portable audio-recorder that periodically records snippets of ambient sounds from participants' daily environments. In tracking moment-to-moment ambient sounds, the EAR yields an acoustic log of a person's day as it unfolds. As a naturalistic observation sampling method, it provides an observer's account of daily life and is optimized for the assessment of audible aspects of participants' naturally-occurring social behaviors and interactions. Measures of self-reported and behaviorally-assessed EAR obtrusiveness and compliance were analyzed in two samples. After an initial 2-h period of relative obtrusiveness, participants habituated to wearing the EAR and perceived it as fairly unobtrusive both in a short-term (2 days, N = 96) and a longer-term (10-11 days, N = 11) monitoring. Compliance with the method was high both during the short-term and longer-term monitoring. Somewhat reduced compliance was identified over the weekend; this effect appears to be specific to student populations. Important privacy and data confidentiality considerations around the EAR method are discussed.

Preserving Data Confidentiality in Internet of Things

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Poornima M. Chanal ◽  
Mahabaleshwar S. Kakkasageri
Keyword(s):  
Internet Of Things ◽  
Data Confidentiality

scholarly journals A Complete Key Management Scheme for LoRaWAN v1.1

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2962
Author(s):  
Xingda Chen ◽  
Margaret Lech ◽  
Liuping Wang
Keyword(s):  
Low Power ◽  
Key Management ◽  
Wide Area Networks ◽  
Key Generation ◽  
Security Framework ◽  
Data Confidentiality ◽  
Backward Compatibility ◽  
Management Scheme ◽  
The Internet Of Things ◽  
Key Management Scheme

Security is one of the major concerns of the Internet of Things (IoT) wireless technologies. LoRaWAN is one of the emerging Low Power Wide Area Networks being developed for IoT applications. The latest LoRaWAN release v.1.1 has provided a security framework that includes data confidentiality protection, data integrity check, device authentication and key management. However, its key management part is only ambiguously defined. In this paper, a complete key management scheme is proposed for LoRaWAN. The scheme addresses key updating, key generation, key backup, and key backward compatibility. The proposed scheme was shown not only to enhance the current LoRaWAN standard, but also to meet the primary design consideration of LoRaWAN, i.e., low power consumption.

PCI Express-Based NVMe Solid State Disk

2013 ◽  
Vol 464 ◽  
pp. 365-368 ◽  
Author(s):  
Ji Jun Hung ◽  
Kai Bu ◽  
Zhao Lin Sun ◽  
Jie Tao Diao ◽  
Jian Bin Liu
Keyword(s):  
Flash Memory ◽  
Nand Flash ◽  
Nand Flash Memory ◽  
Detailed Design ◽  
Pci Express ◽  
Storage Media ◽  
Solid State Disk ◽  
Memory Card ◽  
Non Volatile Memory ◽  
Flash Translation Layer

This paper presents a new architecture SSD based on NVMe (Non-Volatile Memory express) protocol. The NVMe SSD promises to solve the conventional SATA and SAS interface bottleneck. Its aimed to present a PCIe NAND Flash memory card that uses NAND Flash memory chip as the storage media. The paper analyzes the PCIe protocol and the characteristics of SSD controller, and then gives the detailed design of the PCIe SSD. It mainly contains the PCIe port and Flash Translation Layer.

scholarly journals Cloud computing security: a survey

2018 ◽  
Vol 7 (2.21) ◽  
pp. 355
Author(s):  
P Sheela Gowr ◽  
N Kumar
Keyword(s):  
Cloud Computing ◽  
Information Flow ◽  
Data Encryption ◽  
Information Services ◽  
Ease Of Use ◽  
Cloud Services ◽  
Authentication Scheme ◽  
Data Confidentiality ◽  
Cloud Computing Security ◽  
Security Issues

Cloud computing was a hasting expertise which has innovated to a collection of new explores. A sub-ordinate device for Information services, it has an ability towards encourage development by feeding convenient environments for a choice of forms of development is different sequence. Clouds usually consider being eco-friendly, however keep it has open to the diversity of some security issues to can change together the feeder as well as users of these cloud services. In this issue are principally associated to the protection of the information flow throughout also being store in the cloud, with simple problems along with data ease of use, data right to use and data confidentiality. Data encryption and service authentication scheme has been initiated by the industries to deal with them. In this paper analyse and examine different issues on security beside with the different procedure worn by the industries to solve these effects. 

scholarly journals Accomplishing Data Integrity and Confidentiality in Data Markets

2019 ◽  
Vol 8 (11) ◽  
pp. 49-52
Keyword(s):  
Service Provider ◽  
Privacy Protection ◽  
Explicit Learning ◽  
Data Confidentiality ◽  
Raw Data ◽  
Data Services ◽  
On Line ◽  
Identity Based ◽  
Identity Protection ◽  
Size Data

As a noteworthy business worldview, a few on-line information stages have developed to fulfill society's wants for individual explicit learning, any place a service provider assembles raw data from data givers, at that point offers data services to data clients. Notwithstanding, inside the data exchanging level, the data customers face a squeezing issue, i.e., an approach to confirm whether the service provider has actually gathered and handled data. During this paper, we propose TPDM, that effectively compose truthfulness and Privacy protection in data Markets. TPDM is structured inside in partner degree Encrypt-then-Sign way; utilize mostly homomorphism encryption and identity-based signature. It along encourage bunch confirmation, processing, and result check, though giving identity protection and data confidentiality. We used dataset and 2015 RECS dataset, severally. Our examination and investigation results that TPDM accomplishes numerous alluring properties, though obtaining low calculation and correspondence overheads once sustaining huge size data markets

scholarly journals Federated Reinforcement Distillation with Proxy Experience Memory

2020 ◽  
Author(s):  
Han Cha ◽  
Jihong Park ◽  
Hyesung Kim ◽  
Seong-Lyun Kim ◽  
Mehdi Bennis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Confidentiality ◽  
User Privacy ◽  
Joint Conference ◽  
International Joint

This paper is presented at 28th International Joint Conference on Artificial Intelligence (IJCAI-19) 1st Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (FML'19), Macau, August 2019.

Sign in / Sign up

Export Citation Format

Share Document