scholarly journals Secure Data Encryption for Cloud-Based Human Care Services

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Taehwan Park ◽  
Hwajeong Seo ◽  
Sokjoon Lee ◽  
Howon Kim
Keyword(s):  
Private Information ◽  
High Speed ◽  
Data Encryption ◽  
Sensor Data ◽  
Care Services ◽  
Cloud Server ◽  
Adaptive Encryption ◽  
High Speed Data ◽  
Human Care ◽  
Iot Devices

Sensor network services utilize sensor data from low-end IoT devices of the types widely deployed over long distances. After the collection of sensor data, the data is delivered to the cloud server, which processes it to extract useful information. Given that the data may contain sensitive and private information, it should be encrypted and exchanged through the network to ensure integrity and confidentiality. Under these circumstances, a cloud server should provide high-speed data encryption without a loss of availability. In this paper, we propose efficient parallel implementations of Simeck family block ciphers on modern 64-bit Intel processors. In order to accelerate the performance, an adaptive encryption technique is also exploited for load balancing of the resulting big data. Finally, the proposed implementations achieved 3.5 cycles/byte and 4.6 cycles/byte for Simeck32/64 and Simeck64/128 encryption, respectively.

scholarly journals Cloud shadow speed sensor

2014 ◽  
Vol 7 (6) ◽  
pp. 1693-1700 ◽  
Author(s):  
V. Fung ◽  
J. L. Bosch ◽  
S. W. Roberts ◽  
J. Kleissl
Keyword(s):  
High Speed ◽  
Sensor Data ◽  
Motion Vectors ◽  
Speed Sensor ◽  
Correlation Algorithm ◽  
High Speed Data Acquisition ◽  
Economical System ◽  
High Speed Data ◽  
Mean Square Difference ◽  
Artificial Shading

Abstract. Changing cloud cover is a major source of solar radiation variability and poses challenges for the integration of solar energy. A compact and economical system is presented that measures cloud shadow motion vectors to estimate power plant ramp rates and provide short-term solar irradiance forecasts. The cloud shadow speed sensor (CSS) is constructed using an array of luminance sensors and a high-speed data acquisition system to resolve the progression of cloud passages across the sensor footprint. An embedded microcontroller acquires the sensor data and uses a cross-correlation algorithm to determine cloud shadow motion vectors. The CSS was validated against an artificial shading test apparatus, an alternative method of cloud motion detection from ground-measured irradiance (linear cloud edge, LCE), and a UC San Diego sky imager (USI). The CSS detected artificial shadow directions and speeds to within 15° and 6% accuracy, respectively. The CSS detected (real) cloud shadow directions and speeds with average weighted root-mean-square difference of 22° and 1.9 m s−1 when compared to USI and 33° and 1.5 m s−1 when compared to LCE results.

scholarly journals Cloud speed sensor

2013 ◽  
Vol 6 (5) ◽  
pp. 9037-9059 ◽  
Author(s):  
V. Fung ◽  
J. L. Bosch ◽  
S. W. Roberts ◽  
J. Kleissl
Keyword(s):  
High Speed ◽  
Sensor Data ◽  
Motion Vectors ◽  
Speed Sensor ◽  
Cloud Motion ◽  
High Speed Data Acquisition ◽  
Economical System ◽  
High Speed Data ◽  
Mean Square Difference ◽  
Artificial Shading

Abstract. Changing cloud cover is a major source of solar radiation variability and poses challenges for the integration of solar energy. A compact and economical system that measures cloud motion vectors to estimate power plant ramp rates and provide short term solar irradiance forecasts is presented. The Cloud Speed Sensor (CSS) is constructed using an array of luminance sensors and high-speed data acquisition to resolve the progression of cloud passages across the sensor footprint. An embedded microcontroller acquires the sensor data and uses a cross-correlation algorithm to determine cloud motion vectors. The CSS was validated against an artificial shading test apparatus, an alternative method of cloud motion detection from ground measured irradiance (Linear Cloud Edge, LCE), and a UC San Diego Sky Imager (USI). The CSS detected artificial shadow directions and speeds to within 15 and 6% accuracy, respectively. The CSS detected (real) cloud directions and speeds without average bias and with average weighted root mean square difference of 22° and 1.9 m s−1 when compared to USI and 33° and 1.5 m s−1 when compared to LCE results.

scholarly journals Hybrid MDM-PDM Based Ro-FSO System for Broadband Services by Incorporating Donut Modes Under Diverse Weather Conditions

2021 ◽  
Vol 9 ◽  
Author(s):  
Sushank Chaudhary ◽  
Lunchakorn Wuttisittikulkij ◽  
Jamel Nebhen ◽  
Xuan Tang ◽  
Muhammad Saadi ◽  
...  
Keyword(s):  
Free Space ◽  
High Speed ◽  
Weather Conditions ◽  
Sensor Data ◽  
Electromagnetic Spectrum ◽  
Free Space Optical ◽  
Adverse Weather ◽  
Dense Fog ◽  
High Speed Data ◽  
Clear Weather

High-speed data demand in sensitive locations has prompted new wireless technologies to grow in areas like hospitals for bio-sensor data transmission between doctors and patients. However, interference of electromagnetic spectrum or highly sensitive medical equipment in such locations can prevent radio waves which can further compromise the health of patients. Radio over Free Space Optics (Ro-FSO) can fulfil high-speed data demand in such locations without any such interference. However, the Ro-FSO performance is highly influenced by different adverse weather conditions, particularly haze and rainfall, which further cause attenuation in the transmission path of Ro-FSO systems. These atmospheric turbulences mainly affect the transmission link range of Ro-FSO systems. In this work, Ro-FSO system is designed by incorporating hybrid mode division multiplexing (MDM) and polarization division multiplexing (PDM) schemes to deliver four independent channels, each carrying 10 Gbps data upconverted to 40 GHz radio signal, over 3.4 km free space optical link operating under clear weather conditions. In addition to this, the proposed Ro-FSO link is subjected to different weather conditions, particularly partially hazy/rainy and dense fog/very rainy. The reported results indicate the achievement of acceptable bit error rate (BER≈10–3) for all channels up to 3400m FSO link under clear weather conditions, 1000m under partially haze/rain and 620 m under dense fog/heavy rain.

scholarly journals BSCL: Blockchain-Oriented SDN Controlled Cloud Based Li-Fi Communication Architecture for Smart City Network

2018 ◽  
Vol 7 (4.38) ◽  
pp. 888
Author(s):  
Fazeel Ahmed Khan ◽  
Adamu Abubakar ◽  
Marwan Mahmoud ◽  
Mahmoud Ahmad Al-Khasawneh ◽  
Ala Abdulsalam Alarood ◽  
...  
Keyword(s):  
Data Processing ◽  
Smart City ◽  
High Speed ◽  
The Internet ◽  
Cloud Infrastructure ◽  
Network Infrastructure ◽  
Communication Architecture ◽  
Proposed Model ◽  
High Speed Data ◽  
Iot Devices

The Internet of Things (IoT) smart city initiative has transformed technology spectrum into its new era of development. The increasing amount of data generated by millions of IoT devices and the rapid flow of data across distributed IoT devices are transmitting to remotely located cloud infrastructure over the Internet. Unfortunately, these large amounts of data and its flow based on the traditional energy-intensive network infrastructure is neither efficient nor substantially scalable. It is essential to design a comprehensive network infrastructure to handle large amount of high-speed data-processing in an IoT spectrum. Apparently, Blockchain and Software-Defined Networking (SDN) approaches can leveraged the scalability of the environment for IoT spectrum. In addition, the emergence of distributed cloud technology and Li-Fi spectrum can transform the capability of data-processing for IoT devices. The challenge lies in efficiently blend the integration of Li-Fi, Blockchain, SDN and Cloud technologies for IoT environment. To address this challenge, we design a multiaccess communication modulation model for efficient optimization of distributed network with an SDN based controller and integration of robust cloud infrastructure for high-speed data-processing. The proposed model is based on Li-Fi communication architecture which significantly reduced in the utilization of energy for managing large-scale infrastructure. We performed simulation and analysis across multiple dimensions to evaluate the performance and effectiveness of our proposed model. The evaluated output shows that our model significantly improved the overall performance and efficiency of the communication infrastructure as compared with other ultra-modern models.  

Continuous QKD and high speed data encryption

2013 ◽  
Author(s):  
Hugo Zbinden ◽  
Nino Walenta ◽  
Olivier Guinnard ◽  
Raphael Houlmann ◽  
Charles Lim Ci Wen ◽  
...  
Keyword(s):  
High Speed ◽  
Data Encryption ◽  
High Speed Data

High-speed data encryption over 25 km of fiber by two-mode coherent-state quantum cryptography

2003 ◽  
Vol 28 (21) ◽  
pp. 2040 ◽  
Author(s):  
Eric Corndorf ◽  
Geraldo Barbosa ◽  
Chuang Liang ◽  
Horace P. Yuen ◽  
Prem Kumar
Keyword(s):  
Coherent State ◽  
Quantum Cryptography ◽  
High Speed ◽  
Data Encryption ◽  
High Speed Data
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