Manjunath H R
Verified @gmail.com
Associate Professor, Artificial Intelligence and Machine Learning Department
Jyothy Institute of Technology
EDUCATION
PhD in Computer Science and Engineering
M.Tech in Computer science and Engineering
B.E in Computer Science and Engineering
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Networks and Communications, Artificial Intelligence, Computer Engineering
Scopus Publications
Scopus Publications
Manjunath. H., , , and Saravana Kumar
ASPG Publishing LLC
Increase in network activity of transferring information online allows network breeches where intruders easily avail the most important information or data. The growth of online functioning and many other governmental data over the internet without security has caused data vulnerability; attackers can easily detect the data and misuse them. Network Intrusion Detection System (NIDS) has allowed this whole process of online data transfer to occur safely and secured transactions. Due to the cloud usage in network the huge amount of traffic is created as well as number of attacks are increased day by day. To prevent the vulnerability and its types are social, environmental, cognitive, military attacks in the network are classified using CRNN model. We used ensemble learning methods in machine learning algorithms are used to detect and prevent the malicious packets in the network. Our model detects the unauthorized users intruding into any network and alerts the organization regarding the same. When a typical firewall is unable to effectively stop certain sorts of attacks on computer system usage and network communications, a network intrusion detection system may be used. First, we are classifying the unauthorized packets using machine learning algorithm. Using our concept, we have used neural networks in this paper to detect any such attack. For the Network Security Laboratory - Knowledge Discovery in Databases data set using CNN and RNN algorithms, we also applied a few well-known techniques as boosting and pasting methods. In this CRNN approach, we demonstrate that neural networks are more effective than other methods at detecting attacks.
H. Manjunath and S. Saravana Kumar
Springer Nature Switzerland
Manjunath Rangappa, , Guruprakash Dyamanna, and
The Intelligent Networks and Systems Society
Prasad E. Ganesh, H. R. Manjunath, V. Deepashree, M. G. Kavana, and Raviraja
Springer International Publishing
H. R. Manjunath and C. D. Guruprakash
Springer International Publishing
Pooja T. Shetty, R. Roopalakshmi, H. R. Manjunath, S. Pooja, M. Akshatha, and K. Sijas
Springer International Publishing
H. R. Manjunath, S. H. Brahmananda, and S. Lokesh
IEEE
A novel approach for digital steganography using a indexed texture synthesis with indexed color synthesis is proposed in this paper. A texture is a small image, and is arranged arbitrarily or synthesized to obtain a large image with same appearance. A small piece of texture weaved one another with secret message. Compared to other steganographic algorithm which make use of cover image to embed the secret data, our proposed algorithm make use of indexed texture sysnthesis and indexed color synthesis to embed secret data. This method has advantages over other steganography methods. The size of the embedded data is proportional to the size of the image, it is very highly difficult to reveal the secret data by hackers since we are using double indexed approach, it is easy to get back the original texture image. Experimental results have showed that our proposed approach can provide various number of embedding capacities which produce visually plausible texture images.
Publications
ENERGY AWARE MOBILE DISPATCHMENT AND SCHEDULING IN HYBRID WIRELESS SENSOR NETWORK European Journal of Molecular & Clinical Medicine ISSN 2515-8260 Volume 07, Issue 11, 2020
Energy-Efficient Cluster based Routing for Hybrid Wireless Sensor Networks using Adaptive Hybrid Cuckoo Search and Grey Wolf Optimization Algorithm International Journal of Intelligent Engineering and Systems, , No.5, 2021 DOI: 10.22266/
Energy-Efficient Routing Protocol for Hybrid Wireless Sensor Networks Using Falcon Optimization Algorithm International Journal of Intelligent Engineering and Systems, , No.4, 2022 DOI: 10.22266/
SKIN CANCER DETECTION USING MACHINE LEARNING International Journal of Information Technology (IJIT) Volume 4, Issue 02, July-December 2023, pp. 10-19 Article ID: IJIT_4_02_002 Available online at olume=4&Issue=2 Journal ID: 4573-3410, DOI: © IAEME Publication