Search Results for "mobile security"
Sort By:
3 projects for "mobile security" with 2 filters applied:
-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
1
CryptoSwift
Collection of standard and secure cryptographic algorithms
The master branch follows the latest currently released version of Swift. If you need an earlier version for an older version of Swift, you can specify its version in your Podfile or use the code on the branch for that version. Older branches are unsupported. Swift Package Manager uses debug configuration for debug Xcode build, that may result in significant (up to x10000) worse performance. Performance characteristic is different in Release build. XCFrameworks require Xcode 11 or later and... -
2
antigift
antigift is simple cross-platform, files & folders encryption tool
antigift could be used for encryption files & folders on USB-flash or HDD partition. Works on Linux (including Android), Windows, Mac OS X, FreeBSD, DragonFly BSD and other on OSes. Do not required installation. Include WIPE tool for wiping free space and tool for recovery forgotten key. See documentation at http://sourceforge.net/p/antigift/wiki/Home/ antigift простой и кросс-платформенный инструмент для шифрования файлов и папок(с ccrypt в качестве основы) Подробности см. на... -
3
PadotusRNDT.js
This library allows you to generate a random number
This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test).
- Previous
- You're on page 1
- Next
