We will discuss the following: Data Encryption Standard, DES Algorithm, DES Key Creation
https://www.youtube.com/watch?v=1-lF4dePpts&list=PLKYmvyjH53q13_6aS4VwgXU0Nb_4sjwuf
Computer Security Lecture 4: Block Ciphers and the Data Encryption StandardMohamed Loey
We will discuss the following: Stream Ciphers and Block Ciphers, Data Encryption Standard, DES Algorithm, DES Key Creation, DES Encryption, The Strength Of DES.
https://www.youtube.com/watch?v=1-lF4dePpts&list=PLKYmvyjH53q13_6aS4VwgXU0Nb_4sjwuf
https://mloey.github.io/
We will discuss the following: Develop Project Charter, Develop Project Management Plan, Direct and Manage Project Work, Monitor and Control Project Work, Perform Integrated Change Control, Close Project or Phase.
https://mloey.github.io/courses/security2017.html
https://www.youtube.com/watch?v=td_8AM80DUA&list=PLKYmvyjH53q13_6aS4VwgXU0Nb_4sjwuf&index=2&t=37s
We will discuss the following: Symmetric Encryption, Substitution Techniques, Caesar Cipher, Monoalphabetic Cipher, Playfair Cipher, Hill Cipher
Computer Security Lecture 4: Block Ciphers and the Data Encryption StandardMohamed Loey
We will discuss the following: Stream Ciphers and Block Ciphers, Data Encryption Standard, DES Algorithm, DES Key Creation, DES Encryption, The Strength Of DES.
https://www.youtube.com/watch?v=1-lF4dePpts&list=PLKYmvyjH53q13_6aS4VwgXU0Nb_4sjwuf
https://mloey.github.io/
We will discuss the following: Develop Project Charter, Develop Project Management Plan, Direct and Manage Project Work, Monitor and Control Project Work, Perform Integrated Change Control, Close Project or Phase.
https://mloey.github.io/courses/security2017.html
https://www.youtube.com/watch?v=td_8AM80DUA&list=PLKYmvyjH53q13_6aS4VwgXU0Nb_4sjwuf&index=2&t=37s
We will discuss the following: Symmetric Encryption, Substitution Techniques, Caesar Cipher, Monoalphabetic Cipher, Playfair Cipher, Hill Cipher
This presentation provides a high-level overview for the practice of IT Architecture in today's enterprise. It is the first in several IT Architecture presentations we will be providing.
https://mloey.github.io/courses/security2017.html
We will discuss the following: Cryptography, Computer Security, OSI Security Architecture, Security Structure Scheme, Key Properties, Symmetric Encryption, Asymmetric Encryption, finally Our Book
This presentation provides a high-level overview for the practice of IT Architecture in today's enterprise. It is the first in several IT Architecture presentations we will be providing.
https://mloey.github.io/courses/security2017.html
We will discuss the following: Cryptography, Computer Security, OSI Security Architecture, Security Structure Scheme, Key Properties, Symmetric Encryption, Asymmetric Encryption, finally Our Book
Cryptography and network Security
The Data Encryption Standard (DES) is a symmetric-key block cipher published by the National Institute of Standards and Technology (NIST).
Identification of unknown parameters and prediction of missing values. Compar...Alexander Litvinenko
H-matrix approximation of large Mat\'{e}rn covariance matrices, Gaussian log-likelihoods.
Identifying unknown parameters and making predictions
Comparison with machine learning methods.
kNN is easy to implement and shows promising results.
Similar to Computer Security Lecture 4.1: DES Supplementary Material (12)
Lecture 4: How it Works: Convolutional Neural NetworksMohamed Loey
We will discuss the following: Filtering, Convolution, Convolution layer, Normalization, Rectified Linear Units, Pooling, Pooling layer, ReLU layer, Deep stacking, Fully connected layer.
We will discuss the following: Deep vs Machine Learning, Superstar Researchers, Superstar Companies, Deep Learning, Deep Learning Requirements, Deep Learning Architectures, Convolution Neural Network, Case studies, LeNet,AlexNet, ZFNet, GoogLeNet, VGGNet, ResNet, ILSVRC, MNIST, CIFAR-10, CNN Optimization , NVIDIA TITAN X.
We will discuss the following: Artificial Neural Network, Perceptron Learning Example, Artificial Neural Network Training Process, Forward propagation, Backpropagation, Classification of Handwritten Digits, Neural Network Zoo.
Design of an Intelligent System for Improving Classification of Cancer DiseasesMohamed Loey
The methodologies that depend on gene expression profile have been able to detect cancer since its inception. The previous works have spent great efforts to reach the best results. Some researchers have achieved excellent results in the classification process of cancer based on the gene expression profile using different gene selection approaches and different classifiers
Early detection of cancer increases the probability of recovery. This thesis presents an intelligent decision support system (IDSS) for early diagnosis of cancer-based on the microarray of gene expression profiles. The problem of this dataset is the little number of examples (not exceed hundreds) comparing to a large number of genes (in thousands). So, it became necessary to find out a method for reducing the features (genes) that are not relevant to the investigated disease to avoid overfitting. The proposed methodology used information gain (IG) for selecting the most important features from the input patterns. Then, the selected features (genes) are reduced by applying the Gray Wolf Optimization algorithm (GWO). Finally, the methodology exercises support vector machine (SVM) for cancer type classification. The proposed methodology was applied to three data sets (breast, colon, and CNS) and was evaluated by the classification accuracy performance measurement, which is most important in the diagnosis of diseases. The best results were gotten when integrating IG with GWO and SVM rating accuracy improved to 96.67% and the number of features was reduced to 32 feature of the CNS dataset.
This thesis investigates several classification algorithms and their suitability to the biological domain. For applications that suffer from high dimensionality, different feature selection methods are considered for illustration and analysis. Moreover, an effective system is proposed. In addition, Experiments were conducted on three benchmark gene expression datasets. The proposed system is assessed and compared with related work performance.
We will discuss the following: Classical Security Methods, AAA, Authentication, Authorization, Accounting, AAA Characteristic, Local Based AAA, Server Based AAA, TACACS+ and RADIUS.
We will discuss the following: CCNAS Overview, Threats Landscape, Hackers Tools, Tools. Kali Linux Parrot Linux Cisco Packet Tracer Wireshark Denial of Service
Distributed DoS
Man In The Middle
Phishing
Vishing
Smishing
Pharming
Sniffer
Password Attack
We will discuss the following: Graph, Directed vs Undirected Graph, Acyclic vs Cyclic Graph, Backedge, Search vs Traversal, Breadth First Traversal, Depth First Traversal, Detect Cycle in a Directed Graph.
We will discuss the following: Sorting Algorithms, Counting Sort, Radix Sort, Merge Sort.Algorithms, Time Complexity & Space Complexity, Algorithm vs Pseudocode, Some Algorithm Types, Programming Languages, Python, Anaconda.
Algorithms Lecture 3: Analysis of Algorithms IIMohamed Loey
We will discuss the following: Maximum Pairwise Product, Fibonacci, Greatest Common Divisors, Naive algorithm is too slow. The Efficient algorithm is much better. Finding the correct algorithm requires knowing something interesting about the problem
Algorithms Lecture 1: Introduction to AlgorithmsMohamed Loey
We will discuss the following: Algorithms, Time Complexity & Space Complexity, Algorithm vs Pseudo code, Some Algorithm Types, Programming Languages, Python, Anaconda.
Deep Learning - Overview of my work IIMohamed Loey
Deep Learning Machine Learning MNIST CIFAR 10 Residual Network AlexNet VGGNet GoogleNet Nvidia Deep learning (DL) is a hierarchical structure network which through simulates the human brain’s structure to extract the internal and external input data’s features
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
2. DES Supplementary Material
Initial permutation
Round 1
Round 2
Round 16
32 bit Swap
Final permutation
64-bit Plain text
64-bit Cipher text
Permuted choice 1
Left Circular Shift
Left Circular Shift
Left Circular Shift
64-bit Key
Permuted choice 2
Permuted choice 2
Permuted choice 2
56 bit
56 bit
56 bit
56 bit
56 bit
56 bit
48 bit
48 bit
48 bit
K1
K2
K16
64 bit
64 bit
64 bit
64 bit
64 bit
3. DES Supplementary Material
Permuted choice 1
Left Circular Shift
Left Circular Shift
Left Circular Shift
64-bit Key
Permuted choice 2
Permuted choice 2
Permuted choice 2
56 bit
56 bit
56 bit
56 bit
56 bit
56 bit
48 bit
48 bit
48 bit
K1
K2
K16
4. DES Supplementary Material
Permuted choice 1
Left Circular Shift
Left Circular Shift
Left Circular Shift
64-bit Key
Permuted choice 2
Permuted choice 2
Permuted choice 2
56 bit
56 bit
56 bit
56 bit
56 bit
56 bit
48 bit
48 bit
48 bit
K1
K2
K16
6. DES Supplementary Material
Permuted choice 1
Left Circular Shift
Left Circular Shift
Left Circular Shift
64-bit Key
Permuted choice 2
Permuted choice 2
Permuted choice 2
56 bit
56 bit
56 bit
56 bit
56 bit
56 bit
48 bit
48 bit
48 bit
K1
K2
K16
8. DES Supplementary Material
Permuted choice 1
Left Circular Shift
Left Circular Shift
Left Circular Shift
64-bit Key
Permuted choice 2
Permuted choice 2
Permuted choice 2
56 bit
56 bit
56 bit
56 bit
56 bit
56 bit
48 bit
48 bit
48 bit
K1
K2
K16
10. DES Supplementary Material
Initial permutation
Round 1
Round 2
Round 16
32 bit Swap
Final permutation
64-bit Plain text
64-bit Cipher text
48 bit
48 bit
48 bit
K1
K2
K16
64 bit
64 bit
64 bit
64 bit
64 bit
11. DES Supplementary Material
Initial permutation
Round 1
Round 2
Round 16
32 bit Swap
Final permutation
64-bit Plain text
64-bit Cipher text
48 bit
48 bit
48 bit
K1
K2
K16
64 bit
64 bit
64 bit
64 bit
64 bit
13. DES Supplementary Material
Initial permutation
Round 1
Round 2
Round 16
32 bit Swap
Final permutation
64-bit Plain text
64-bit Cipher text
48 bit
48 bit
48 bit
K1
K2
K16
64 bit
64 bit
64 bit
64 bit
64 bit
14. DES Supplementary Material
𝑳𝒊−𝟏 𝑹𝒊−𝟏
Expansion Permutation
XOR 𝑲𝒊
S-Box
Permutation
XOR
𝑳𝒊 𝑹𝒊
32 bit
48 bit 48 bit
48 bit
32 bit
32 bit
32 bit32 bit
32 bit
32 bit
15. DES Supplementary Material
𝑳𝒊−𝟏 𝑹𝒊−𝟏
Expansion Permutation
XOR 𝑲𝒊
S-Box
Permutation
XOR
𝑳𝒊 𝑹𝒊
32 bit
48 bit 48 bit
48 bit
32 bit
32 bit
32 bit32 bit
32 bit
32 bit
18. DES Supplementary Material
𝑳𝒊−𝟏 𝑹𝒊−𝟏
Expansion Permutation
XOR 𝑲𝒊
S-Box
Permutation
XOR
𝑳𝒊 𝑹𝒊
32 bit
48 bit 48 bit
48 bit
32 bit
32 bit
32 bit32 bit
32 bit
32 bit
19. DES Supplementary Material
24 bit
24 bit
16 bit
16 bit
S-Box 1 S-Box 2 S-Box 3 S-Box 4
S-Box 5 S-Box 6 S-Box 7 S-Box 8
29. DES Supplementary Material
𝑳𝒊−𝟏 𝑹𝒊−𝟏
Expansion Permutation
XOR 𝑲𝒊
S-Box
Permutation
XOR
𝑳𝒊 𝑹𝒊
32 bit
48 bit 48 bit
48 bit
32 bit
32 bit
32 bit32 bit
32 bit
32 bit
32. DES Supplementary Material
Initial permutation
Round 1
Round 2
Round 16
32 bit Swap
Final permutation
64-bit Plain text
64-bit Cipher text
48 bit
48 bit
48 bit
K1
K2
K16
64 bit
64 bit
64 bit
64 bit
64 bit
34. DES Supplementary Material
Initial permutation
Round 1
Round 2
Round 16
32 bit Swap
Final permutation
64-bit Plain text
64-bit Cipher text
48 bit
48 bit
48 bit
K1
K2
K16
64 bit
64 bit
64 bit
64 bit
64 bit