The course was conducted very high quality compared to other CRC courses. The commitment of the speakers was evident and their interest in the subject made a very positive impression. The course was very interesting and engaging. — 2023 training participant 3 I am very pleased that I chose ...
If you are interested to find out more about the Responsive Security concepts and approach, the book is now available at CRC Press (http://www.crcpress.com/product/isbn/9781466584303) and alsoAmazon, where an e-book version has also been published. 12th RAISE Forum Meeting at Jinan, Shandon...
Assurance of these three “-ilities” combats undesirable behaviors during deployment by focusing the design effort both on the functional and non-functional requirements of the system under design. Therefore, a concrete implementation of an ontological metamodel is one way forward in multi-paradigm ...
With over 4.57 billion people using the Internet in 2020, the amount of data being generated has exceeded 2.5 quintillion bytes per day. This rapid increase in the generation of data has pushed the applications of big data to new heights; one of which is cybersecurity. The paper aims to in...
Some prior research has examined the use of different techniques to build AIDSs. Chebrolu et al. examined the performance of two feature selection algorithms involving Bayesian networks (BN) and Classification Regression Trees (CRC) and combined these methods for higher accuracy (Chebrolu et al....
Lightweight protocols: Protocols in this class support lightweight pseudorandom number generators and simple functions like Cyclic Redundancy Check (CRC). However, they do not utilize hash functions (Bringer et al.2006; Chien and Chen2007). ...
Cybersecurity Malware Emerging technology trends Emerging cyber threats Cyber attacks and countermeasures 1. Introduction Our society, economy, and critical infrastructures have become largely dependent on computer networks and information technology solutions. Cyber attacks become more attractive and potentially...
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Data Mining and Machine Learning in Cybersecurity; CRC Press: Boca Raton, FL, USA, 2016. [Google Scholar] Ester, M.; Kriegel, H.P.; Sander, J.; Xu, X. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the KDD-94, Oregon, ...