R. Caroline Kalaiselvi

Associate Professor and Head
Department of Information System Management
Guru Nanak College, Chennai

RESEARCH INTERESTS

Cloud Computing

Scopus Publications

A Sheltered CARMA Algorithm Using Cosseted Articulate For Implication Data
R. Kalaiselvi, Dr.S.Mary Vennila
Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering Iceconf 2023, 2023
In this current scenario, the entire world depends upon the data which they hold over the internet and how these progressions towards the future is monitored. There is only one criterion to fulfill those needs of protecting the data of an individual or a business firm or a well-developing industry. Two steps are extremely mandatory to occupy, one is encryption and the latter one is decryption. To protect data encryption happens and to retrieve the same data decryption takes place. Advanced Encryption Standard- derives the security to ultimate data protection where the processing of this would not be revealed. In AES- no data gets hacked till-date, safety and security are the deepest truth formulated using this algorithm. Edge device data are secured with the AES algorithm using Fog computing by altering the data with encryption and retrieve by decryption. The combined version of the DWT and LSB model form the model. The proposed CARMA model uses a zigzag Matrix and the final results are compared with the original AES.
Security enhancement using custom-aes and its performance evaluation on avalanche effect-a new approach
R. Caroline Kalaiselvi, Dr. S. Mary Vennila
Indian Journal of Computer Science and Engineering, 2021
Cryptography has emerged as a critical component of an information security system's protection against malicious attacks. Cryptography is the technique or method by which a person or users sends information or a message to another person or users in such a way that only the approved person or users can read it. This encryption mechanism encrypts the data and transforms the data into unreadable text that only a party with the associated key can decode or decrypt. These algorithms use a large number of computer resources, including CPU time, memory and time of processing. This research proposes a Custom-AES algorithm for data transmission to meet different security objectives. This latest algorithm is based on the Advanced Encryption Standard's symmetric key encryption (AES). The avalanche effect is used to measure the security of the Advanced Encryption Standard (AES). Before the encryption method, plaintext and the phases of encryption underwent numerous changes. By modifying one bit in plaintext while holding the key unchanged, the Avalanche effect can be determined. The introduction of this methodology was carried out for the purpose of testing. After a comparison analysis with existing encryption algorithms, the experimental results show that Custom-AES has a significant high Avalanche impact.
Remote software update in trusted connection of long range IoT networking integrated with versatile edge cloud
R. Kalaiselvi, S. Vennila
International Journal of Engineering and Technology Uae, 2018
The Internet of Things (IoT) prompts can administered by gathering data from little sensor gadgets. As of late, stockpiling less detecting gadgets have been utilized to actualize IoT administrations. They rely upon conveyed programming from a system server to work benefit capacities and IoT administrations are in view of gathered client data. In this way, it is critical to keep up trusted associations aid programming conveyance or information transmission. In the event that a system association is deceitful, stable information transmission can't be accomplished. Dishonest information associations cause numerous issues in IoT administrations. In this manner, this paper proposes a product refresh strategy in trusted association of IoT organizing. The technique utilizes Low Power Wide Area Network (LPWAN) as long-go IoT organizing innovation and utilizations a portable edge cloud to enhance registering effectiveness in an entrance arrange that comprises of IoT gadgets with lacking assets. In the strategy, the versatile edge cloud is coordinated into a door, and forms detecting information and remote programming updates of LPWAN. IoT gadgets can get programming capacities from the versatile edge cloud. The proposed strategy investigates measurable data about associations in a get to arrange and decides the LPWAN put stock in associations. At that point, programming updates can be performed over the confided in association. Utilizing trusted associations prompts an expanded bundle conveyance rate and decreased transmission vitality utilization. The strategy is contrasted with at present accessible frameworks through PC recreation and through computer simulation and this method’s efficiency is validated.