Zobrazeno 1 - 10 of 118 pro vyhledávání: '"Bhushan Trivedi"'
1
SEMANTIC AND CONTEXTUAL KNOWLEDGE REPRESENTATION USING INTER - LINGUA FOR AUTOMATED ASSESSMENT OF STRUCTURED C++ PROGRAM
Autor: Maxwell Christian, Bhushan Trivedi
Publikováno v: International Journal of Advanced Research. 9:185-188
The process of automatic evaluation of a structured C++ program has the first and foremost requirement of specifying the developed structural C++ program in a standard, generalized and unified format. This generalized and standard representation of t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2807b1183305b3c0ab2c22b675ac7719
https://doi.org/10.21474/ijar01/12823
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2
Simulation Experiment of Key Exchange Protocol in Mobile Devices With E-Commerce Application
Autor: Pranav Vyas, Bhushan Trivedi
Publikováno v: International Journal of Information Security and Privacy. 14:38-49
In this article, the authors discuss their experiment of simulating a proposed key exchange protocol by implementing it in a sample e-commerce application on a mobile device. The article compares its performance with other protocols. The authors also
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d5041d5e3b8a97173b919c36e191503
https://doi.org/10.4018/ijisp.2020070103
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7
AndroHealthCheck: A Malware Detection System for Android Using Machine Learning
Autor: Prerna Agrawal, Bhushan Trivedi
Publikováno v: Computer Networks, Big Data and IoT ISBN: 9789811609640
With the boom of malware, the area of malware detection and the use of gadget assist to gain knowledge in research drastically with the aid of researchers. The conventional methods of malware detection are incompetent to detect new and generic malwar
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::706224cfa946463a840d744c0a43b94c
https://doi.org/10.1007/978-981-16-0965-7_4
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8
Evaluating Machine Learning Classifiers to detect Android Malware
Autor: Bhushan Trivedi, Prerna Agrawal
Publikováno v: 2020 IEEE International Conference for Innovation in Technology (INOCON).
Malware Detection using conventional methods is incompetent to detect new and generic malware. For the investigation of a variety of malware, there were no ready-made machine learning datasets available for malware detection. So we generated our data
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::509cbd4876f31a8af6c4d36e96cf0884
https://doi.org/10.1109/inocon50539.2020.9298290
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10
Machine Learning Classifiers for Android Malware Detection
Autor: Bhushan Trivedi, Prerna Agrawal
Publikováno v: Data Management, Analytics and Innovation ISBN: 9789811556159
With the growing popularity of Android devices, it is also more prone to malware attacks. There are many malware scanning tools available for scanning the Android Malware but most of them perform static analysis and also require a lot of resources an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9e93bc633f856930f92aa102589efc1
https://doi.org/10.1007/978-981-15-5616-6_22
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