KaTaPaYa Saankhya Sutra Extended as an Encoding Scheme for Secure Communication in IoT Devices

Modern computers linked to IoT devices constantly produce vast amounts of data and information. Information security is crucial in securing this ever-generating vast volume of data. Modern encryption algorithms significantly enlarge files. Therefore, more bandwidth is needed for safe data transfer. Transforming a message into codes is the act of encoding. The study of ancient Vedic encoding techniques is applied to the contemporary period in the current work. Most of the Vedic literature is in Sanskrit through Poetry rather than narration. This Sanskrit poetry of the Vedic and its contemporary periods not only laud the Gods but also includes numerical codes. The Katapayadi technique of writing numbers in Sanskrit words was used in ancient India. Numerous ancient Indian mathematicians employed this and other similar systems. This tries to reduce the file size while simultaneously encrypting the content using this antique encryption method via Sanskrit as the medium.In this paper "Katapayadi Sankhya Sutra" (KTPY Rule) was studied and implemented. The "Katapayadi Sankhya Sutra - Extended" (KTPY-E Rule) is the improvement suggested for this KTPY Rule. An effective encryption and decryption approach was proposed using this KTPY-E Rule. In the suggested KTPY-E technique, English text is converted to the Unicode code KTPY encoded form, and then it is stored in its Binary Format indexed by its initial character set.

Authors

Institutions

Publication Details

Journal
Nanotechnology Perceptions
Published
2024-12-18
DOI
https://doi.org/10.62441/nano-ntp.v20i7.4204
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

KaTaPaYa Saankhya Sutra Extended as an Encoding Scheme for Secure Communication in IoT Devices

D. Lalitha Bhaskari, T. SriSivaRamayya
Nanotechnology Perceptions
Computer Science and Engineering
article

KaTaPaYa Saankhya Sutra Extended as an Encoding Scheme for Secure Communication in IoT Devices

D. Lalitha Bhaskari, T. SriSivaRamayya
article en

Abstract

Modern computers linked to IoT devices constantly produce vast amounts of data and information. Information security is crucial in securing this ever-generating vast volume of data. Modern encryption algorithms significantly enlarge files. Therefore, more bandwidth is needed for safe data transfer. Transforming a message into codes is the act of encoding. The study of ancient Vedic encoding techniques is applied to the contemporary period in the current work. Most of the Vedic literature is in Sanskrit through Poetry rather than narration. This Sanskrit poetry of the Vedic and its contemporary periods not only laud the Gods but also includes numerical codes. The Katapayadi technique of writing numbers in Sanskrit words was used in ancient India. Numerous ancient Indian mathematicians employed this and other similar systems. This tries to reduce the file size while simultaneously encrypting the content using this antique encryption method via Sanskrit as the medium.In this paper "Katapayadi Sankhya Sutra" (KTPY Rule) was studied and implemented. The "Katapayadi Sankhya Sutra - Extended" (KTPY-E Rule) is the improvement suggested for this KTPY Rule. An effective encryption and decryption approach was proposed using this KTPY-E Rule. In the suggested KTPY-E technique, English text is converted to the Unicode code KTPY encoded form, and then it is stored in its Binary Format indexed by its initial character set.

Nanotechnology PerceptionsVol. 20(7)
Andhra University (IN)
Openalex Percentile: Top 73%
Computer Science and Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.