Search results
Results From The WOW.Com Content Network
Rattle provides considerable data mining functionality by exposing the power of the R Statistical Software through a graphical user interface. Rattle is also used as a teaching facility to learn the R software Language. There is a Log Code tab, which replicates the R code for any activity undertaken in the GUI, which can be copied and pasted.
All data is tainted until proven otherwise - means that all data must be handled in a way that does not expose the rest of the runtime environment without verifying integrity. All code is insecure until proven otherwise - while a slight misnomer, does a good job reminding us to never assume our code is secure as bugs or undefined behavior may ...
An Inference Attack is a data mining technique performed by analyzing data in order to illegitimately gain knowledge about a subject or database. [1] A subject's sensitive information can be considered as leaked if an adversary can infer its real value with a high confidence. [2] This is an example of breached information security.
Examples include attacks in spam filtering, where spam messages are obfuscated through the misspelling of "bad" words or the insertion of "good" words; [19] [20] attacks in computer security, such as obfuscating malware code within network packets or modifying the characteristics of a network flow to mislead intrusion detection; [21] [22] attacks in biometric recognition where fake biometric ...
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...
Data dredging (also known as data snooping or p-hacking) [1] [a] is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives.
Cryptographic attacks that subvert or exploit weaknesses in this process are known as random number generator attacks. A high quality random number generation (RNG) process is almost always required for security, and lack of quality generally provides attack vulnerabilities and so leads to lack of security, even to complete compromise, in ...