Editorial: TRENDS IN AGGREGATION AND SECURITY ASSESSMENT FOR INFERENCE CONTROL IN STATISTICAL DATABASES

2002 ◽  
Vol 10 (05) ◽  
pp. 453-457 ◽  
Author(s):  
VICENÇ TORRA ◽  
JOSEP DOMINGO-FERRER
Keyword(s):  
Artificial Intelligence ◽  
Soft Computing ◽  
Data Handling ◽  
Security Assessment ◽  
Special Issue ◽  
Inference Control ◽  
Artificial Intelligence Techniques ◽  
Statistical Databases ◽  
Statistical Agencies ◽  
The Individual

As e-commerce and Internet-based data handling become pervasive, companies and statistical agencies have the need to exploit the data they accumulate without violating citizens' privacy. Inference control is a discipline whose goal is to prevent published/exchanged data from being linked with the individual respondents they originated from. This special issue illustrates that inference control largely draws on soft computing and artificial intelligence techniques.

scholarly journals A Survey of the Various Steganography Techniques Using Soft Computing Techniques

2021 ◽  
Vol 9 (VII) ◽  
pp. 1616-1619
Author(s):  
Er. Savita Devi
Keyword(s):  
Artificial Intelligence ◽  
Soft Computing ◽  
Secret Data ◽  
Artificial Intelligence Techniques ◽  
Individual Privacy ◽  
Soft Computing Techniques

Steganography is the method of storing information by hiding that information’s existence. It can be used to carry out hidden exchanges and hence can enhance individual privacy. Steganography aims at communicating the secret data in an appropriate multimedia carrier. In this paper, the various techniques used to perform Steganography in a secure way are studied and reviewed. In this the various Artificial Intelligence techniques used for steganography are reviewed and analyzed.

scholarly journals Zadeh's Centenary

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ioan DZITAC
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Fuzzy Sets ◽  
Soft Computing ◽  
Special Issue ◽  
Introductory Paper ◽  
And Control

This is the introductory paper in a special issue on fuzzy logic dedicated to the centenary of the birth of Lotfi A. Zadeh published by International Journal of Computers Communications & Control (IJCCC). In 1965, Lotfi A. Zadeh published in the journal „Information and Control” the article titled „Fuzzy sets”, which today reaches over 117 thousand citations. The total sum of citations for all his papers is above 253 thousand. Based on the notion of fuzzy sets, fuzzy logic and the concept of soft computing emerged, bringing extremely important implications to the field of Artificial Intelligence (AI). In 2017, I published, whith F.G. Filip and M.J. Manolescu, a 42-page long paper in the IJCCC about the life and masterwork of Lotfi A. Zadeh, from which I will use some information in this material [15].

CORRELATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES WITH SOFT COMPUTING IN VARIOUS AREAS

2017 ◽  
Vol 5 (4) ◽  
pp. 58-65
Author(s):  
Avinash Kumar ◽  
Abhishek Kumar ◽  
Arun Prasad Burnwal
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Soft Computing ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Human Information Processing ◽  
Artificial Intelligence Techniques ◽  
Mathematical Techniques ◽  
Build System ◽  
Modern Era

Artificial Intelligence (AI) is a part of computer science concerned with designing intelligent computer systems that exhibit the characteristics used to associate with intelligence in human behavior. Basically, it define as a field that study and design of intelligent agents. Traditional AI approach deals with cognitive and biological models that imitate and describe human information processing skills. This processing skills help to perceive and interact with their environment. But in modern era developers can build system that assemble superior information processing needs of government and industry by choosing from large areas of mature technologies. Soft Computing (SC) is an added area of AI. It focused on the design of intelligent systems that process uncertain, imprecise and incomplete information. It applied in real world problems frequently to offer more robust, tractable and less costly solutions than those obtained by more conventional mathematical techniques. This paper reviews correlation of artificial intelligence techniques with soft computing in various areas.

scholarly journals Soft Computing for Decision-Making in Fuzzy Environments: A Tribute to Professor Ioan Dzitac

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1701
Author(s):  
Simona Dzitac ◽  
Sorin Nădăban
Keyword(s):  
Artificial Intelligence ◽  
Soft Computing ◽  
Computing Methods ◽  
Future Trends ◽  
Scientific Interest ◽  
Special Issue ◽  
Comprehensive Overview ◽  
Fuzzy Environment ◽  
Learning Platform ◽  
Soft Computing Methods

This paper is dedicated to Professor Ioan Dzitac (1953–2021). Therefore, his life has been briefly presented as well as a comprehensive overview of his major contributions in the domain of soft computing methods in a fuzzy environment. This paper is part of a special reverential volume, dedicated to the Centenary of the Birth of Lotfi A. Zadeh, whom Ioan Dzitac considered to be is his mentor, and to whom he showed his gratitude many times and in innumerable ways, including by being the Guest Editor of this Special Issue. Professor Ioan Dzitac had many important achievements throughout his career: he was co-founder and Editor-in-Chief of an ISI Expanded quoted journal, International Journal of Computers Communications & Control; together with L.A. Zadeh, D. Tufis and F.G. Filip he edited the volume “From Natural Language to Soft Computing: New Paradigms in Artificial Intelligence”; his scientific interest focused on different sub-fields: fuzzy logic applications, soft computing in a fuzzy environment, artificial intelligence, learning platform, distributed systems in internet. He had the most important contributions in soft computing in a fuzzy environment. Some of them will be presented in this paper. Finally, some future trends are discussed.

A Survey on Artificial Intelligence Techniques to Prevent Cyber Crime

2018 ◽  
Vol 8 (5) ◽  
pp. 80
Author(s):  
Juveriya Afreen
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Data Security ◽  
Human Reasoning ◽  
Cyber Crime ◽  
Artificial Intelligence Techniques

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.

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