Machine Learning for Cryptographic Algorithm Identification
نویسندگان
چکیده
منابع مشابه
Transparent Machine Learning Algorithm Offers Useful Prediction Method for Natural Gas Density
Machine-learning algorithms aid predictions for complex systems with multiple influencing variables. However, many neural-network related algorithms behave as black boxes in terms of revealing how the prediction of each data record is performed. This drawback limits their ability to provide detailed insights concerning the workings of the underlying system, or to relate predictions to specific ...
متن کاملA hybrid model based on machine learning and genetic algorithm for detecting fraud in financial statements
Financial statement fraud has increasingly become a serious problem for business, government, and investors. In fact, this threatens the reliability of capital markets, corporate heads, and even the audit profession. Auditors in particular face their apparent inability to detect large-scale fraud, and there are various ways to identify this problem. In order to identify this problem, the majori...
متن کاملMachine Learning for Attack Vector Identification
As computers and information technologies become ubiquitous throughout society, the security of our networks and information technologies is a growing concern. As a result, many researchers have become interested in the security domain. Among them, there is growing interest in observing hacker communities for early detection of developing security threats and trends. Research in this area has o...
متن کاملMachine learning algorithms for task identification
Context awareness plays an essential role in implementing the Ambient Intelligence vision (AmI). Instrumentalized data gloves are used for task tracking based on the information provided by sensors embedded into them. This article presents some preliminary results of the use of Genetic Algorthms for sensor selection in person independent task recognition system.
متن کاملThe Cryptographic Abstract Machine
The Cryptographic Abstract Machine is an executional model of cryptographic actions, independent of the concrete cryptographic procedures employed, even of the abstraction level of the underlying model of cryptography. This is motivated both by a theoretical purpose of relating the dynamics of protocol executions at different levels of abstraction, and by a practical purpose of enabling automat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Information Security and Cryptography (Enigma)
سال: 2016
ISSN: 2595-5217
DOI: 10.17648/enig.v3i1.55