Detecting block ciphers generic attacks: An instance-based machine learning method
نویسندگان
چکیده
Cryptography facilitates selective communication through encryption of messages and or data. Block-cipher processing is one the prominent methods for modern cryptographic symmetric schemes. The rise in attacks on block-ciphers led to development more difficult However, attackers decrypt generic given sufficient time computing. Recent research had applied machine learning classification algorithms develop intrusion detection systems detect multiple types attacks. These are limited by misclassifying suffer reduced effectiveness when evaluated detecting only. Hence, this study introduced proposed k-nearest neighbors, an instance-based algorithm, block-ciphers. value k was varied (i.e., 1, 3, 5, 7, 9) nearest neighbors models were developed using two distance functions Manhattan Euclidean) classifying between normal network packets. All function performed better than their Euclidean counterparts. 1-nearest neighbor (Manhattan function) model highest overall accuracy 99.6%, a attack rate 99.5% which tallies with 9 models, false alarm 0.0003 same all models. some existing that even implemented ensemble deep-learning algorithms. Therefore, method recommended
منابع مشابه
Building Secure Block Ciphers on Generic Attacks Assumptions
Up to now, the design of block ciphers has been mainly driven by heuristic arguments, and little theory is known to constitute a good guideline for the development of their architecture. Trying to remedy this situation, we introduce a new type of design for symmetric cryptographic primitives with high self-similarity. Our design strategy enables to give a reductionist security proof for the pri...
متن کاملCorrelation Attacks on Block Ciphers
This report presents a new statistical attack on iterative block ciphers called the correlation attack which is a natural generalization of linear cryptanalysis. The attack is based on nding complex-valued functions on the input and the output of a cipher which have a high correlation. Their mutual relation is then exploited to yield information about the nal round key. Introducing the notions ...
متن کاملImprovements of Linearization-based Algebraic Attacks on Block Ciphers
Algebraic attacks are studied as a potential cryptanalytic procedure for several cryptographic primitives. In an algebraic attack on a cipher, one expresses the encryption function as a system (usually overdefined) of multivariate polynomial equations in the bits of the plaintext, the ciphertext and the key, and subsequently solves the system for the unknown key bits from the knowledge of one o...
متن کاملNew Birthday Attacks on Some MACs Based on Block Ciphers
This paper develops several new techniques of cryptanalyzing MACs based on block ciphers, and is divided into two parts. The first part presents new distinguishers of the MAC construction Alred and its specific instance Alpha-MAC based on AES. For the Alred construction, we first describe a general distinguishing attack which leads to a forgery attack directly with the complexity of the birthda...
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: International Journal of Advanced and Applied Sciences
سال: 2022
ISSN: ['2313-626X', '2313-3724']
DOI: https://doi.org/10.21833/ijaas.2022.05.007