A5014773448- Chaos-based Image/Signal Encryption
- Advanced Malware Detection Techniques
- Digital Media Forensic Detection
- Network Security and Intrusion Detection
- Advanced Steganography and Watermarking Techniques
- Advanced Numerical Analysis Techniques
- Leaf Properties and Growth Measurement
- Advanced Vision and Imaging
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Internet Traffic Analysis and Secure E-voting
- Optical measurement and interference techniques
Vellore Institute of Technology University
2019-2024
Abstract Internet usage became increasingly ubiquitous. The concern regarding security and privacy has become essential for users. As the of increases number cyber‐attacks also substantially. Intrusion detection is one challenging aspects network security. Efficient intrusion crucial every organization to mitigate vulnerability. This paper presents a novel system detect malicious attacks targeted at smart environment. proposed method uses correlation tool random forest predominant...
The increasing amount of IoT devices increases the size network traffic data, causing an increase in incidence security breaches networks. Cybercriminals have developed malware to compromise sensitive among other cyber threats. In presence inadequate and robust mechanisms, data is prone vulnerability. Hence, protecting environment becoming a mandatory task. Various approaches addressed detection using features. However, there still room for improvement developing superior techniques...
In this paper a reversible data hiding (RDH) algorithm for medical images is proposed.This specifically based on histogram modification in hybrid domain.The idea of that created from the differences between each pixel and its neighbours.A 2D DWT haar transform performed to convert cover image into domain select appropriate frequencies embedding payload.The selected coefficients bit planes are used carry secret message.The experimental result demonstrates our proposed method outperforms...
Detection of crops and their diseases hold immense importance in effective farming. Crop act as a huge hindrance to healthy crop production. Knowing about the if they carry any disease will help farmers cure them time eventually increase yield. This paper aims at achieving two functionalities which are detection various parts what it carries there is any. The Images tested with machine learning algorithms finds best suitable algorithm, maximum accuracy, predictions should be done, using k...
In this paper, we have proposed a stenographic algorithm that advantageously disguises an instant message inside image. The hidden is concealed in the cover image using amalgamation of hybrid Least Significant Bit method and Three Modulus characters by character encryption. entire encryption methodology secured password such only designated receiver can decrypt from