scholarly journals Antivirus Applied to Jar Malware Detection based on Runtime Behaviors

2021 ◽  
Author(s):  
Ricardo Pinheiro ◽  
Sidney Lima ◽  
Danilo Souza ◽  
Sthéfano Silva ◽  
Petrônio Lopes ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
World Wide ◽  
Initial Conditions ◽  
Malware Detection ◽  
Detection Methods ◽  
Controlled Environment ◽  
Modus Operandi ◽  
Average Performance ◽  
Learning Functions ◽  
The World

Abstract Background and Objective: Java vulnerabilities correspond to 91% of all exploits observed on the World Wide Web. Then, this present work aims to create an antivirus software with machine learning and artificial intelligence, master in Java malwares detection.. Methods: Within the proposed methodology, the suspect Jar sample is executed in order to infect, intentionally, Windows OS monitored in a controlled environment. In all, our antivirus monitors and ponders, statistically, 6,824 actions that the suspected Jar file can do when executed. Results: Our antivirus achieves an average performance of 91.58% in the distinction between benign and malwares Jar files. Different initial conditions, learning functions and architectures of our antivirus are investigated in order to maximize their accuracy.Conclusions: The limitations of commercial antiviruses can be supplied by intelligent antiviruses.Instead of blacklist-based models, our antivirus allows Jar malware detection in a preventive way and not in a reactive manner as Oracle's Java and traditional antivirus modus operandi.

The Next Generation of Internet Portals

2011 ◽  
pp. 89-100
Author(s):  
Ali Jafari
Keyword(s):  
Artificial Intelligence ◽  
World Wide Web ◽  
World Wide ◽  
Next Generation ◽  
The World ◽  
Internet Portals ◽  
New Generation

Today’s portals bring together existing technologies in useful, innovative ways, but they don’t scratch the surface of what is possible. The constant build-up of information and resources on the World Wide Web demands a smarter more advanced portal technology that offers dynamic, personalized, customized, and intelligent services. This chapter discusses next-generation portals and the requirement that they come to know their users and understand their individual interests and preferences. It describes a new generation of portals that have a level of autonomy, making informed, logical decisions and performing useful tasks on behalf of their members. The chapter highlights the role of artificial intelligence in framing the next generation of portal technology and in developing their capabilities for learning about their users.

scholarly journals Can we predict trend in technology?

2021 ◽  
Vol 9 (2) ◽  
pp. 46-53
Author(s):  
Zoran Lovreković
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
World Wide Web ◽  
World Wide ◽  
Moore’S Law ◽  
The Past ◽  
The World ◽  
1960S And 1970S ◽  
The 1960S ◽  
Further Development

This paper shows that the foundations of today 's information technology were laid mainly in the 1960s and 1970s. Even the World Wide Web was founded in the 1990s. Following the philosophy of Moore's Law, and generalizing the findings from the past, it is possible to conclude that, in the same way, the foundations of the technology that will mark the next two decades have already been laid these days. Based on that, predictions that will be technological trends in the next 20 years can be confirmed with great certainty. Further development and ubiquitous application of artificial intelligence, IoT, and 5G networking will certainly fundamentally change our lives.

scholarly journals A Review Of Trends In Research On Web Mining

2011 ◽  
pp. 37-41
Author(s):  
Manoj Pandia ◽  
Subhendu Kumar Pani ◽  
Sanjay Kumar Padhi ◽  
Lingaraj Panigrahy ◽  
R. Ramakrishna
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
World Wide Web ◽  
Web Mining ◽  
World Wide ◽  
Research Topic ◽  
Research Areas ◽  
The World ◽  
Fertile Area ◽  
The Web

In recent years the growth of the World Wide Web exceeded all expectations. Today there are several billions of HTML documents, pictures and other multimedia files available via internet and the number is still rising. But considering the impressive variety of the web, retrieving interesting content has become a very difficult task.So, the World Wide Web is a fertile area for data mining research.Web mining is a research topic which combines two of the activated research areas: Data Mining and World Wide Web. Web mining research relates to several research communities such as Database, information Retrieval and Artificial intelligence, visualization.This paper reviews the research and application issues in web mining besides proving an overall view of Web mining.

scholarly journals Modus operandi of Communities of Practice

2019 ◽  
Vol 5 (4) ◽  
Author(s):  
Zsuzsánna E. Horváth
Keyword(s):  
Communities Of Practice ◽  
World Wide ◽  
Virtual Communities ◽  
Modus Operandi ◽  
Face To Face ◽  
Advantages And Disadvantages ◽  
The World ◽  
Tremendous Importance ◽  
Geographic Regions ◽  
Share Information

The changes in technology and the advancements of the World Wide Web have resulted in a different way in which people interact, and locate, and share information. Virtual communities connect people from different geographic regions and allow for the exchange of ideas among a broader range of professional. Communities of Practice, despite their recent conception, have gained tremendous importance in educational settings. This paper will present the types of COPs (virtual and face-to-face), pointing out the characteristics of both. It will discuss the advantages and disadvantages and propose a merged model drawing on the advantages of both. Special attention will be laid on the issue of ‘trust’, as a building block of the successful cooperation between the members of the COPs.

scholarly journals Malicious Powershell Detection Using Graph Convolution Network

2021 ◽  
Vol 11 (14) ◽  
pp. 6429
Author(s):  
Sunoh Choi
Keyword(s):  
Artificial Intelligence ◽  
Adjacency Matrix ◽  
Rapid Growth ◽  
Detection Rate ◽  
Detection Method ◽  
Malware Detection ◽  
Detection Methods ◽  
Jaccard Similarity ◽  
Malicious Behaviors

The internet’s rapid growth has resulted in an increase in the number of malicious files. Recently, powershell scripts and Windows portable executable (PE) files have been used in malicious behaviors. To solve these problems, artificial intelligence (AI) based malware detection methods have been widely studied. Among AI techniques, the graph convolution network (GCN) was recently introduced. Here, we propose a malicious powershell detection method using a GCN. To use the GCN, we needed an adjacency matrix. Therefore, we proposed an adjacency matrix generation method using the Jaccard similarity. In addition, we show that the malicious powershell detection rate is increased by approximately 8.2% using GCN.

Rotational Characteristics of the Green Solar Corona: 1947-1991

1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský
Keyword(s):  
Solar Corona ◽  
World Wide ◽  
Rotation Period ◽  
Original Data ◽  
Coronal Emission ◽  
Time Intervals ◽  
Data Set ◽  
The World ◽  
Coronal Emission Line ◽  
Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

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