Smart robots’ virus defense using data mining technology
نویسندگان
چکیده
Abstract In order to realize online detection and control of network viruses in robots, the authors propose a data mining-based anti-virus solution for smart robots. First, using internet things (IoT) intrusion prevention system design method based on signal feedforward modulation filtering design, overall description function analysis are carried out, then algorithm is designed, finally, hardware software development breach protection IoT completed, integrated realized. The findings demonstrated that mean value 10,000 tests, IoT’s average packet loss rate 0. Conclusion: This has high accuracy, good performance, strong compatibility friendliness.
منابع مشابه
Insurance Risk Modeling Using Data Mining Technology
The UPA (Underwriting Profitability Analysis) application embodies a new approach to mining Property & Casualty (P&C) insurance policy and claims data for the purpose of constructing predictive models for insurance risks. UPA utilizes the ProbE (Probabilistic Estimation) predictive modeling class library to discover risk characterization rules by analyzing large and noisy insurance data sets. E...
متن کاملVirus Detection Using Data Mining Techinques'
Malicious executables are computer programs, which may cause damages or inconveniences for computer users when they are executed. Virus is one of the major kinds of malicious programs, which attach themselves to others and usually get executed before the host programs. They can be easily planted into computer systems by hackers, or simply down loaded and executed by naive users while they are b...
متن کاملData Mining in R using Rattle
This paper is a brief introduction to the concepts, methods and algorithms for data mining in statistical software R using a package named Rattle. Rattle provides a good graphical environment to perform some of the procedures and algorithms without the need for programming. Some parts of the package will be explained by a number of examples. ...
متن کاملPredicting Type2 Diabetes Using Data Mining Algorithms
Background and purpose: Today, information systems and databases are widely used and in order to achieve higher accuracy and speed in making diagnosis, preventing the diseases, and choosing treatments they should be merged with traditional methods. This study aimed at presenting an accurate system for diagnosis of diabetes using data mining and a heuristic method combining neural network and pa...
متن کاملDistributed Data Mining for Sustainable Smart Grids
Electric power infrastructure is rapidly running up against oversized growth, scale and efficiency. Electricity production, distribution and consumption play a critical role in the sustainability of the planet and its natural resources. Smart Grids which enable two-way communication and monitoring between producers and end-users need novel computational algorithms for supporting generation of p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of intelligent systems
سال: 2023
ISSN: ['2191-026X', '0334-1860']
DOI: https://doi.org/10.1515/jisys-2023-0065