In multi-class scenarios, SVM employs the one-vs-rest technique to train binary classifiers for each class. The hyperparameter settings of the SVM classifier are a kernel function and a regularization parameter (C). We used random search optimization to determine the value for the C regulizer ...
We set the parameters for the bloom filter as shown in Table 2 for the performance evaluation. Table 2. Parameters of bloom filter. 2.3. Evaluation Method In this subsection, we explain the experimental environments and attack scenarios. Then we show the experiment results and analysis. 2.3.1...
the hardware definitely matters. Just like any other platform, Stack Overflow’s architecture comes in layers. Hardware is the foundation layer for us, and having it in-house affords us many luxuries not available in other scenarios…like running on someone else...
For such scenarios, there is an option to show additional details for each user, like username and tags. This is enabled like so:scoold.user_autocomplete_details_enabled = trueSecurity headersScoold attaches several security headers to each response. These can be enabled or disabled with the ...
Locating bug code snippets (short for BugCode) has been a complex problem throughout the history of software security, mainly because the constraints that define BugCode are obscure and hard to summarize. Previously, security analysts attempted to define
Consequently, it is critical to study cyberattacks that can lead to cascading failures in power systems and develop models to realistically emulate attack scenarios that can bypass existing bad data detection algorithms. In this paper, a mixed-integer linear programming model is developed to ...
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In this article, we have demonstrated that in some scenarios, the default Windows configuration leads to the SHA‑1 hash of the user’s password being stored to the disk in a way that is retrievable without any further knowledge about the password. We argue that this is an issue for ...
(a) Votesanswer should be over 0: the vote-up for each answer indicates the current answer is useful or appropriate to the community (sovoteup 2022) and is believed to be fol- lowed by other developers in practice, thus we drop all the answers with votes under 0, which means this ...
used to build the GBDT model, and the BayesSearchCV from the scikit-optimize (skopt) library was used for hyperparameter optimization of the GBDT model, among other methods, which are not described in detail here. All the libraries and classes used in the methods and algorithms are open ...