scholarly journals Nowhere to Hide: A Novel Private Protocol Identification Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jiantao Shi ◽  
Xiangzhan Yu ◽  
Zechao Liu
Keyword(s):  
Feature Extraction ◽  
Rapid Development ◽  
Recognition Algorithm ◽  
Mobile Internet ◽  
Point Of View ◽  
Biological Information ◽  
Identification Algorithm ◽  
Human Beings ◽  
Private Data ◽  
Extraction Algorithm

In recent years, with the rapid development of mobile Internet and 5G technology, great changes have been brought to our lives, and human beings have stepped into the era of big data. These new features and techniques in 5G support many different types of mobile applications for users, which makes network security extremely challenging. Among them, more and more applications involve users’ private data, such as location information, financial information, and biological information. In order to prevent users’ privacy disclosure, most applications choose to use private protocols. However, such private protocols also provide a means for malware and malicious applications to steal users’ privacy and confidential data. From a more secure point of view, we need to provide a way for users to know how many private protocols are running on their mobile phones and distinguish which are authorized applications and which are not. Therefore, the analysis and identification of private protocols have become a hot topic in current research. How to extract the characteristics of network protocol effectively and identify the private protocol accurately becomes the most important part of this research. In this paper, we combine genetic algorithm and association rule algorithm and then propose a set of feature extraction algorithm and protocol recognition algorithm for unknown protocols. The experimental analysis based on the actual data shows that these methods can effectively solve the problems of feature extraction and recognition for unknown protocols and can greatly improve the accuracy of private protocol recognition.

scholarly journals Interrelationship identification between humans from images using two class classifier

2018 ◽  
Vol 7 (2.21) ◽  
pp. 5 ◽  
Author(s):  
Amit Verma ◽  
T Meenpal ◽  
B Acharya
Keyword(s):  
Feature Extraction ◽  
Feature Detection ◽  
Confusion Matrix ◽  
Image Database ◽  
Identification Algorithm ◽  
Bag Of Words ◽  
Human Beings ◽  
Feature Detectors ◽  
Surf Features

The paper proposes an automatic interrelationship identification algorithm between human beings. The image database contains two interrelationship classes i.e. two people hugging and handshaking each other. The feature detection and feature extraction has been done using bag of words algorithm. SURF features and FAST features are used as feature detectors. Finally, the extracted features have been applied to SVM for classification. We have tested the classifier against a set of test images for both feature detectors.  Finally, the accuracy of the classifier has been calculated and confusion matrix has been plotted.  

Automatic Recognition of Aircraft Noise with PLP Method

2012 ◽  
Vol 160 ◽  
pp. 145-149 ◽  
Author(s):  
Jian Li Ding ◽  
Yong Yang
Keyword(s):  
Feature Extraction ◽  
Filter Bank ◽  
Recognition Algorithm ◽  
Automatic Recognition ◽  
Aircraft Noise ◽  
Predictive Analysis ◽  
Modified Method ◽  
Extraction Algorithm ◽  
Auditory Feature ◽  
Linear Predictive Analysis

This paper proposes a modified auditory feature extraction algorithm based on perceptual linear predictive analysis which is more suitable for automatic recognition of aircraft noise. In this algorithm, a different distribution of filter-bank is introduced in order to fit the physical characteristic of aircraft noise and the result shows that the modified method indeed performs better. The effect of Gammatone filter in improving the robustness of recognition algorithm is also demonstrated in the experiment.

scholarly journals A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Fei Xie ◽  
Ming Zhang ◽  
Jing Zhao ◽  
Jiquan Yang ◽  
Yijian Liu ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Character Recognition ◽  
Intelligent Transportation System ◽  
Rapid Development ◽  
Contrast Ratio ◽  
Recognition Algorithm ◽  
License Plate ◽  
License Plate Detection ◽  
Extraction Model ◽  
Combined Feature

The rapid development of the license plate recognition technology has made great progress for its widespread uses in intelligent transportation system (ITS). This paper has proposed a novel license plate detection and character recognition algorithm based on a combined feature extraction model and BPNN (Backpropagation Neural Network) which is adaptable in weak illumination and complicated backgrounds. Firstly, a preprocessing is first used to strengthen the contrast ratio of original car image. Secondly, the candidate regions of license plate are checked to verify the true plate, and the license plate image is located accurately by the integral projection method. Finally, a new feature extraction model is designed using three sets of features combination, training the feature vectors through BPNN to complete accurate recognition of the license plate characters. The experimental results with different license plate demonstrate effectiveness and efficiency of the proposed algorithm under various complex backgrounds. Compared with three traditional methods, the recognition accuracy of proposed algorithm has increased to 97.7% and the consuming time has decreased to 46.1ms.

Rationale and Design Considerations for a Semantic Mediator in Health Information Systems

1998 ◽  
Vol 37 (04/05) ◽  
pp. 518-526 ◽  
Author(s):  
D. Sauquet ◽  
M.-C. Jaulent ◽  
E. Zapletal ◽  
M. Lavril ◽  
P. Degoulet
Keyword(s):  
Information Systems ◽  
Software Engineering ◽  
Health Information ◽  
Rapid Development ◽  
Heterogeneous Systems ◽  
Health Information Systems ◽  
Semantic Interoperability ◽  
Point Of View ◽  
Current State ◽  
Engineering Environment

AbstractRapid development of community health information networks raises the issue of semantic interoperability between distributed and heterogeneous systems. Indeed, operational health information systems originate from heterogeneous teams of independent developers and have to cooperate in order to exchange data and services. A good cooperation is based on a good understanding of the messages exchanged between the systems. The main issue of semantic interoperability is to ensure that the exchange is not only possible but also meaningful. The main objective of this paper is to analyze semantic interoperability from a software engineering point of view. It describes the principles for the design of a semantic mediator (SM) in the framework of a distributed object manager (DOM). The mediator is itself a component that should allow the exchange of messages independently of languages and platforms. The functional architecture of such a SM is detailed. These principles have been partly applied in the context of the HEllOS object-oriented software engineering environment. The resulting service components are presented with their current state of achievement.

Corresponding Feature Extraction Algorithm between Infrared and Visible Images Using MSER

2011 ◽  
Vol 33 (7) ◽  
pp. 1625-1631 ◽  
Author(s):  
Lin Lian ◽  
Guo-hui Li ◽  
Hai-tao Wang ◽  
hao Tian ◽  
Shu-kui Xu
Keyword(s):  
Feature Extraction ◽  
Feature Extraction Algorithm ◽  
Extraction Algorithm ◽  
Visible Images

On the Power of the Object

2017 ◽  
Author(s):  
Liubov Vetoshkina ◽  
Yrjö Engeström ◽  
Annalisa Sannino
Keyword(s):  
Point Of View ◽  
The Political ◽  
Material Objects ◽  
Human Beings ◽  
Work Activities ◽  
Skilled Performance ◽  
Rich Domain ◽  
Boat Building ◽  
Building Activity ◽  
History Of

By skillfully shaping and producing objects human beings externalize and make real their future-oriented imaginaries and visions. Material objects created by skilled performance make human lifeworlds durable. From the point of view of history making, wooden boat building is a particularly rich domain of skilled performance. This chapter is based on two research sites, one in Finland and the other in Russia. The analysis is divided into four layers or threads of history making, namely personal history, the history of the wooden boat community, the political history of the nations and their relations, and the history of the boats themselves as objects of boat-building activity. The chapter ends by discussing our findings and their implications for the understanding of skilled performance and history making in work activities and organizations.

scholarly journals Mapping the Sharing Economy in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6333
Author(s):  
Chan Liu ◽  
Raymond K. H. Chan ◽  
Maofu Wang ◽  
Zhe Yang
Keyword(s):  
Global Economy ◽  
Rapid Development ◽  
Sharing Economy ◽  
Essential Elements ◽  
Mobile Internet ◽  
Internet Technology ◽  
Short Term ◽  
Bona Fide ◽  
The Government ◽  
Idle Capacity

Harnessing the rapid development of mobile internet technology, the sharing economy has experienced unprecedented growth in the global economy, especially in China. Likely due to its increasing popularity, more and more businesses have adopted this label in China. There is a concern as to the essential meaning of the sharing economy. As it is difficult to have a universally accepted definition, we aim to map the sharing economy and demystify the use of it in China in this paper. We propose seven organizing essential elements of the sharing economy: access use rights instead of ownership, idle capacity, short term, peer-to-peer, Internet platforms mediated, for monetary profit, and shared value orientation. By satisfying all or only parts of these elements, we propose one typology of sharing economy, and to differentiate bona fide sharing economy from quasi- and pseudo-sharing economy. Finally, there are still many problems that need to be solved urgently in the real sharing economy from the perspective of the government, companies and individuals.

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