scholarly journals CloudFence: Data Flow Tracking as a Cloud Service

2013 ◽  
pp. 411-431 ◽  
Author(s):  
Vasilis Pappas ◽  
Vasileios P. Kemerlis ◽  
Angeliki Zavou ◽  
Michalis Polychronakis ◽  
Angelos D. Keromytis
Keyword(s):  
Data Flow ◽  
Cloud Service ◽  
Data Flow Tracking

Sound and Precise Cross-Layer Data Flow Tracking

2016 ◽  
pp. 38-55 ◽  
Author(s):  
Enrico Lovat ◽  
Martín Ochoa ◽  
Alexander Pretschner
Keyword(s):  
Data Flow ◽  
Cross Layer ◽  
Data Flow Tracking

Base Address Recognition with Data Flow Tracking for Injection Attack Detection

2006 ◽  
Author(s):  
Satoshi Katsunuma ◽  
Hiroyuki Kurita ◽  
Ryota Shioya ◽  
Kazuto Shimizu ◽  
Hidetsugu Irie ◽  
...  
Keyword(s):  
Data Flow ◽  
Attack Detection ◽  
Base Address ◽  
Data Flow Tracking ◽  
Address Recognition

Data flow tracking-based block chain modelling

2019 ◽  
Vol 18 (4) ◽  
pp. 323
Author(s):  
Yu Tian ◽  
Wenxiu Hu ◽  
Ganglong Duan
Keyword(s):  
Data Flow ◽  
Block Chain ◽  
Data Flow Tracking

scholarly journals Sensor Cloud Based Architecture with Efficient Data Computation and Security Implantation for Internet of Things Application

2020 ◽  
Vol 2 (2) ◽  
pp. 96-105
Author(s):  
Dr. Abul Bashar
Keyword(s):  
Internet Of Things ◽  
Data Flow ◽  
Cloud Service ◽  
Smart Devices ◽  
Network Simulator ◽  
Efficient Computation ◽  
The World ◽  
Information And Communication ◽  
Efficient Data ◽  
Sensor Cloud

The growth of the information and communication technology has led the world to experience more sophisticated service that were once thought to be a fantasy. The emergence of the internet of things has further taken the world one step ahead by enabling the tangible things around to communicate. The IOT affords to offer more advanced services by the incorporation of the wireless sensors. The collection of the information and its delivery in the platform of internet of things is taken care by the enormous number of smart devices present in it and the numerous of smart devices present cause a very high amount of data flow. The issue arises in such platforms of internet of things in handling, regulating, storing and computing the huge amount of data flow. Move over the security of the data are also uncertain. To manage all these the paper delivers a sensor cloud based architecture with highly efficient computation and the security implantation for the application of internet of things. The proposed model improves the computation capability and the security of the data by using cloud service, the machine learning and the encryption scheme. The network simulator -3 evaluates the performance of the delivered model that provides a satisfying and sustaining results than the existing methods. The experiments were carried out on the grounds of the longevity of the network, overhead in the transmission the amount of energy used and as well as the packet drop ratio. The results attained on each ground were found be 25%, 30%, 38.76% and 50.7% better compared to the state of art approaches.

scholarly journals Low Overhead Online Data Flow Tracking for Intermittently Powered Non-Volatile FPGAs

2020 ◽  
Vol 16 (3) ◽  
pp. 1-20 ◽  
Author(s):  
Xinyi Zhang ◽  
Clay Patterson ◽  
Yongpan Liu ◽  
Chengmo Yang ◽  
Chun Jason Xue ◽  
...  
Keyword(s):  
Data Flow ◽  
Online Data ◽  
Data Flow Tracking
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