BowNetCrypt: Sleek Vaulted Messenger Secured by Bowerbird-Driven Finite Neural Messaging with Dual Elliptic Protection
Private message is an innate feature of digital communication and is inherent in maintaining the privacy and confidentiality of the information exchanged in interpersonal and business-to-business relationships. Due to new and more complex cyber threats, there is a need for efficient processing and stronger protection through encryption more than ever before. Conventional cryptographic approaches are prevalent and commonly applied, but they have issues with providing adequate security and carrying out the task with low computational requirements, which poses a problem for devices with limited processing power such as smartphones and IoT devices. However, problems arise with future messaging platforms that include higher latency, scalability, and the changes of different network conditions, which are important for continuous communication on message platforms. Some of the previous efforts include BLIND, LAPEP, PEGA, and SCNN-Bi-LSTM, which have brought improvements addressing some of these challenges. Our research introduces BowNetCrypt: Elegant Vaulted Messenger Secured by Bowerbird-Driven Finite Neural Messaging with Dual Elliptic Protection to address such hindrances. BowNetCrypt also uses the Finite Element Neural Fusion Network (FE-Net) system for better adaptability and accuracy in the private message. The Bowerbird Optimization (BowBO) algorithm is used to minimize the computational complexity as well as enhance the overall network performance. Furthermore, the Lightweight Dual Elliptic Security Protocol (LwDESP) is employed to ensure security and strong encryption without consuming a lot of resources. This method outperforms existing systems by achieving key performance metrics such as 99.2% encryption strength, a 98.7% reduction in latency, and a 97.9% increase in scalability. Such improvements offer BowNetCrypt as one of the most efficient and dependable techniques for implementing secure private messaging within advanced communication networks.
Authors
- Ankita Nainwal
- Vipul Vekariya
- Syed Noeman Taqui (ORCID: https://orcid.org/0000-0002-3546-7212)
- Harshal Patil (ORCID: https://orcid.org/0000-0002-5813-1957)
- G. Sunitha Rekha
- Raghu Dhumpati
Institutions
- IILM Institute for Higher Education (IN)
- Graphic Era University (IN)
- Bahrain Polytechnic (BH)
- Saveetha University (IN)
- Parul University (IN)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/icdici62993.2024.10810934
- Primary Topic
- Chaos-based Image/Signal Encryption
- Type
- article
- Field-Weighted Citation Impact
- 0.00