FendOff encryption software to secure personal information on computers and mobile devices
Victor Solovyev, Ramzan Umarov

TL;DR
This paper introduces VSEM cryptographic modules based on pseudorandom pads and transpositions, implemented in FendOff applications for mobile and desktop devices to secure personal data against attacks.
Contribution
The paper presents novel cryptographic cipher modules (VSEM) and their implementation in FendOff applications for multiple platforms to enhance personal data security.
Findings
VSEM modules effectively secure data against attacks.
Encryption speed is suitable for practical use.
Applications successfully encrypt/decrypt personal data on various devices.
Abstract
The paper describes several original cryptographic cipher modules (VSEM) that are based on using one time pseudorandom pad and pseudorandom transpositions. The VSEM includes 4 modules of encryption that can be applied in combinations. We studied ability of these modules to secure the private data against attacks and their speed of encryption. The VSEM encryption was implemented in Fendoff applications for mobile devices on iOS and Android platforms as well as in computer application running Window or Mac OS. We describe these applications designed to encrypt/decrypt various personal data such as passwords, credit card or bank information as well as to secure content of any text or image files.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsChaos-based Image/Signal Encryption · Cryptographic Implementations and Security · Advanced Malware Detection Techniques
