Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rajni Ranjan Singh Makwana"'
Publikováno v:
International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :71-81
A large number of online public domain comments are usually constructive, but a significant proportion is toxic. The comments include several errors that allow the machine-learning algorithm to train the data set by processing dataset with numerous v
Publikováno v:
International Journal of Computer Trends and Technology. 69:26-29
Publikováno v:
International Journal of Security and Its Applications. 13:41-50
Publikováno v:
International Journal of Computer Applications. 176:41-43
Autor:
Rajni Ranjan Singh Makwana
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 9:1732-1738
Network intrusion detection system (NIDS) tracks network traffic for suspicious activity and policy violations. It generates alerts whenever such activity found. The objective is to detect and report anomalies. Further intrusion prevention system can
Autor:
Rajni Ranjan Singh Makwana
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 8:4632-4641
In the last two decades the networks become larger in scale, more complex in structure and more diversified in traffic. Which generate huge amount of network packets such as TCP, UDP and HTTP etc. Log files are repository for captured packets and pla
Autor:
Rajni Ranjan Singh Makwana, Ruhi Dubey
Publikováno v:
International Journal of Computer Science and Engineering. 4:5-10
Autor:
Ruhi Dubey, Rajni Ranjan Singh Makwana
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811082337
In the present scenario, digitization is one of the most important goals of India. It has a serious impact on the education system, and exams are the basic requirement of education. To make exams digitized, a large number of resources are required. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1becad414f4ae1c8d273991836b1a797
https://doi.org/10.1007/978-981-10-8234-4_31
https://doi.org/10.1007/978-981-10-8234-4_31
Publikováno v:
2017 International Conference on Trends in Electronics and Informatics (ICEI).
IDS is the main concern of the security which is useful to prevent the attack at host and network level. In this propose work, classification of KDD intrusion dataset is proposed along with noise reduction, clustering and feature selection. DBSCAN al