Oh, this just made me realize that figuring out hex is the same as IP addresses in decimal. Adding 128, 64, 36, 16 , 8, 4, 2, 1 if the bit for it is on!

Is this playlist specifically for Intro to Cryptography @wgu?

Thank you so much for these videos! They are incredibly helpful

Is MD5 the only technique that can have a hash collision?

The purpose of a digital certificate is to "validate the integrity and authenticity" of a service with respect to an issuer. It's not just to "bind" a public key to a service (whatever "bind" means with your definition). Not sure who made these questions, but some of them are 💩

I made it to the end! Hey man, just wanted to thank you for all of the videos they were extremely good and my favorite way to learn. I'm feeling optimistic for the test since I turned every 'bold' word you went over into a notecard. I uh, genuinely appreciate the effort you put into these.

Hey just thought id mention that the hashing is stored in the etc/shadow file and not the passwd

I just passed the assessment on my first attempt thanks to your series. I appreciate your help professor!

This is such an impressively simple concept but it just seems so hard for people to wrap their heads around, myself included. This broke it down just enough to make it stick.

Great videos! They are really helping me with this class. I am curious about one thing though: Why do asymmetric keys have to be longer to have the same security as symmetric keys? Is it because they take longer to process?

I like that you say being an engineer means looking alot of stuff up...I'm a computer tech for a school district (our title, basically desktop support) and we joke in our team that the secret of our jobs is we are just better at googling than others.

whats with the hard cut on Question 16?

Full Code: # Import Libraries import pandas as pd import numpy as np import tensorflow as tf from sklearn.model_selection import train_test_split # Load the dataset dataset = pd.read_csv('cancer.csv') x = dataset.drop(columns=["diagnosis(1=m, 0=b)"]) y = dataset["diagnosis(1=m, 0=b)"] # Split the dataset into training and test sets x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2) # Build and train the model model = tf.keras.models.Sequential() model.add(tf.keras.layers.Dense(256, input_shape=x_train.shape[1:], activation='sigmoid')) model.add(tf.keras.layers.Dense(256, activation='sigmoid')) model.add(tf.keras.layers.Dense(1, activation='sigmoid')) model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy']) model.fit(x_train, y_train, epochs=1000) # Evaluate the model on the test set loss, accuracy = model.evaluate(x_test, y_test) print(f"Accuracy on the test set: {accuracy}") # Prepare and predict the new tumor data new_tumor_data = np.array([[13.54, 14.36, 87.46, 566.3, 0.09779, 0.08129, 0.06664, 0.04781, 0.1885, 0.05766, 0.2699, 0.7886, 2.058, 23.56, 0.008462, 0.0146, 0.02387, 0.01315, 0.0198, 0.0023, 15.11, 19.26, 99.7, 711.2, 0.144, 0.1773, 0.239, 0.1288, 0.2977, 0.07259]]) prediction = model.predict(new_tumor_data) print(f"Prediction for the new tumor data: {prediction}") # Determine the diagnosis based on the prediction threshold = 0.5 accuracy_rating = accuracy diagnosis = "malignant" if prediction >= threshold else "benign" print(f"The predicted diagnosis is: {diagnosis}. Accuracy: {accuracy_rating}")

I've learned more in these 4 videos than I did listening to the whole D334 book summary

Thanks Professor wolf!

Thank you for sharing your knowledge

Thank you 🙏

Thank you 🙏

I liked how you explained the Get-FileHash. Thanks for that! It's one thing to learn the theory and it's another to see it in action.

Forgot to tell us to SMASH that like button, subscribe and comment if we have any questions. That is my only complaint.

yo professor Wolf, love this, thank you.

Is the key to the pig pen Biometric

Thanks Professor Wolf

Thanks Professor Wolf

Thanks Professor Wolf

Thanks Professor Wolf

I wouldn't mind a short video on the pig pen demonstrated. Thank you for your videos!

Why wouldn't "TwoFish" be a correct answer to Question 42? 128 bit block, 128/192/256 key

Professor Wolf, This video series was very useful. I watched all the cohort videos before this series and I barely failed the PA. (40/60). I sat down and watched this whole playlist, made flashcards and notes of all the bold text. I did better on the PA the second time around and I passed the exam on the first try (all in the same day). I am not saying the cohort videos didn't help, but I wish I had watched your series first. I liked your style of instruction, and I felt like I learned more. I hope to have you as a future professor in my upcoming classes. For students starting intro to cryptography, best of luck! I definitely suggest watching all these videos in the playlist, and reviewing the material in the course chatter!

Thanks Professor Wolf!

Thanks Professor Wolf!

Thanks Professor Wolf!

Thanks Professor Wolf!

Thanks Professor Wolf

Thanks Professor Wolf?

RC DN

This is great. Love the series, broken down in an easy to consume format. Thanks!

This has helped out a lot the text and others confused me

please explain pre image attack in a different if possible

Hey Professor! Is there a place to download the slides, I am a WGU student. Thank you for the videos!

So glad you are starting a Sec+ series. Thanks Prof Wolf!!

Can it be hiring managers and ceo's in general? Not just tech related companies?

Outstanding info, thank you so much.

So how exactly does it work when an exchange of a fraction of a bitcoin takes place?

Hey Paris, would recommend that you increase the volume of the recording a bit. I'm on full volume and I can hear you, but if I'm not in a silent environment I lose your voice.

I have never understood this type of attack before your explanation. Thanks Professor!!

This clarifies so much, thank you!!

Great vid!

Keep these gems coming! The shorter format helps me focus

Quick and to the point, thanks Professor!