Cybersecurity Infrastructure And Security Automation
Alex Mathew Department of Computer Science & Cyber Security, Bethany College, WV, USA.
AI-based security systems utilize big data and powerful machine learning algorithms to automate the security management task. The case study methodology is used to examine the effectiveness of AI-enabled security solutions. The result shows that compared with the signature-based system, AI-supported security applications are efficient, accurate, and reliable. This is because the systems are capable of reviewing and correlating large volumes of data to facilitate the detection and response to threats.
Automation, Cybersecurity, AI, Big data .
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Binary Sine Cosine Algorithms For Feature Selection From Medical Data
Shokooh Taghian1,2 and Mohammad H. Nadimi-Shahraki1,2 1,2Islamic Azad University,Iran 1,2Big Data Research Center,Islamic Azad University, Iran
A well-constructed classification model highly depends on input feature subsets from a dataset, which may contain redundant, irrelevant, or noisy features. This challenge can be worse while dealing with medical datasets. The main aim of feature selection as a pre-processing task is to eliminate these features and select the most effective ones. In the literature, metaheuristic algorithms show a successful performance to find optimal feature subsets. In this paper, two binary metaheuristic algorithms named S-shaped binary Sine Cosine Algorithm (SBSCA) and V-shaped binary Sine Cosine Algorithm (VBSCA) are proposed for feature selection from the medical data. In these algorithms, the search space remains continuous, while a binary position vector is generated by two transfer functions S-shaped and V-shaped for each solution. The proposed algorithms are compared with four latest binary optimization algorithms over five medical datasets from the UCI repository. The experimental results confirm that using both bSCA variants enhance the accuracy of classification on these medical datasets compared to four other algorithms.
Medical data, Feature selection, metaheuristic algorithm, Sine Cosine Algorithm, Transfer function
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