Workshop
I recently had the privilege of conducting a workshop on the importance of being a purple teamer within a Security Operations Center (SOC) at the Moroccan Cybers Camp (MCC) organized by ENSA University Cadi Ayyad Marrakech Innovation City. The event, focused on "Cloud Security," aimed to bring together
Workshop
Greetings, fellow cybersecurity enthusiasts! I recently had the privilege of conducting a captivating workshop on the significance of threat hunting at ENSIAS University's Mohammed V through their yearly Cyber event MCSC. My name is Omar Jellouli, and I go by the alias "Fr33s0ul" in the cybersecurity
Ai
Adversarial machine learning Adversarial machine learning exploits how artificial intelligence algorithms work to disrupt the conduct of artificial intelligence algorithms. In the past years, adversarial machine learning has become an active zone of research as the job of AI continues to grow in vast numbers of the applications we use.
Ai
Convolutional Neural Networks (CNNs) A Convolutional Neural Networks (CNNs) is a Deep Learning algorithm which can take in an input picture, appoint significance (learnable weights and biases) to different articles in the image and have the option to separate one from the other. The pre-processing required in a CNNs; it
Ai
Dimensionality reduction is a set of machine learning-based indicative models. They are useful to execute data manipulation; it decreases the dimensionality of a dataset. It is instrumental in cases where the issue becomes intractable, and the quantity of variables increases, then dimensionality reduction leads to choosing significant variables. * Low variance
Ai
Now that we covered a fair amount of the components and instruments involving in the AI systems, it is the time to talk a little about performance evaluation and its importance. Performance evaluation is an essential step in a methodological operation. Because after finishing the whole machine learning model, testing
Ai
Artificial neural networks Artificial neural networks are one of the trending topics in nowadays, Applications based on this type of technology imitate the sophisticated functionality of the human brain, where neurons process information in parallel. Researchers have successfully proved the concept by creating prototypes and successful models, for example, pattern
Ai
Unsupervised learning The distinction in unsupervised learning from supervised learning, as it may have surmised the data will not contain any labels, and the module should attempt prospects and learn without a teacher. Semi-supervised learning The semi-supervised learning algorithm is a combination of supervised learning and unsupervised. The algorithms run
Ai
It is a type of machine learning algorithms that learns from a provided input/output data to predict an un-provided output from the same form of input data in training. Supervised learning is often in our daily life, for example, the algorithm that indicates how much time a driver will
Ai
Cybersecurity field grew so fast that now the industry needs many cybersecurity professionals to defend and patch issues in networks and web applications before cybercriminals attempt to do it. Still, thankfully we have nowadays a lot of conferences and many people working together to make the internet a better internet.
CTF
TryHackMe | Year of the RabbitTime to enter the warren…TryHackMe Hello everyone, Today's challenge is full of surprises and I would suggest you be patient while doing it, and make sure not to get into the rabbit holes, this challenge is made by MuirlandOracle. Hope you enjoy this
CTF
Hello everyone, Today's CTF is very special made by Jammy a user in Tryhackme. Trust me even if this box is rated medium difficulty, You'll need to think a lot and be very patient. I guarantee you if you try hard in this challenge you'