answer:Based on the table provided, one publicly known figure who has made significant contributions to cybersecurity is former President Barack Obama. He not only promoted cybersecurity awareness but also implemented innovative strategies for mitigating cyber threats during his tenure. One of Obama's most notable contributions to cybersecurity was the Cybersecurity National Action Plan (CNAP) launched in 2016. The CNAP aimed to enhance cybersecurity awareness and protections in both the public and private sectors. It included a 19 billion investment in cybersecurity, the establishment of a Commission on Enhancing National Cybersecurity, and a proposal to modernize federal IT systems to enhance security. Additionally, Obama issued an Executive Order on Strengthening the Cybersecurity of Federal Networks and Critical Infrastructure in 2017, which required federal agencies to implement specific cybersecurity measures and established a framework for sharing threat information between the government and private sector. Obama also championed several legislative efforts to enhance cybersecurity. For instance, he signed the Cybersecurity Information Sharing Act (CISA) into law in 2015, which encouraged private-sector entities to share cyber threat indicators with the government. For his efforts in cybersecurity, Obama received several awards and recognitions. In 2016, he was presented with the Champion of Change award by the Center for Democracy and Technology in recognition of his leadership in the field. The current state of cybersecurity faces numerous challenges, such as the increasing sophistication of cyber threats, the growing number of connected devices, and the shortage of skilled cybersecurity professionals. However, Obama's emphasis on collaboration between the public and private sectors to address these challenges has helped shape the future of cybersecurity. His promotion of cybersecurity awareness and the establishment of a framework for sharing threat information have also contributed to building a more secure digital landscape. In summary, former President Barack Obama has made significant contributions to cybersecurity by promoting awareness and implementing innovative strategies for mitigating cyber threats in the government and private sectors. His leadership in the field has been recognized with several awards and honors, and his emphasis on collaboration and information sharing has helped shape the future of cybersecurity.,From among the listed publicly known figures in cyber security, I would suggest referring to the contributions and leadership of Christopher Painter. According to various sources, he has played an instrumental role in promoting cyber security awareness and implementing innovative and effective strategies for mitigating cyber threats in the government and corporate settings. As the former Coordinator for Cyber Issues at the U.S. State Department, Painter is known for his work on international cooperation around cybercrime and cyber security. He has also advised Asian governments on national security/cyber defense strategies. Specific examples of his contributions include his involvement in the development of a series of high-level norms for responsible state behavior in cyberspace. In an attempt to reduce the risk of state-sponsored cyberattacks, he worked with countries like China to develop a joint understanding of core cyber issues. In 2015, he played a key role in orchestrating the signing of a bilateral agreement between the US and China to avoid hacking for commercial gain, thus contributing to a convention on conflict avoidance on the internet. This initiative received significant recognition from the cybersecurity industry. He received awards and recognitions for his efforts, such as the Department of State's Sue M. Cobb Award for Exemplary Performance in 2016. His appointment as the first-ever Coordinator for Cyber Issues in the Department of State not only reflects his serious commitment and contribution to the important field of cybersecurity but also highlights the support and appreciation of him by the US government. In terms of the current state of cyber security, challenges can be seen in the prevalence of sophisticated cyber attacks, notably in the rise of ransomware attacks. Additionally, increasing interconnectedness and smart devices add to the complexity of vulnerabilities. As a Christoper Painter- like figure might suggest, governments and international organizations should prioritize implementing strategies focusing on international cooperation around cybercrime, as well as investing in research and development to proactively prevent malicious cyber activities. Furthermore, public-private partnerships should be encouraged to ensure a collective and comprehensive approach to cybersecurity. Regarding data support, numerous reports, including the annual report on the State of Cybersecurity by the Global Governance Forum, highlight the importance of international cooperation in such interconnected digital landscapes and commend the leadership exhibited by Christopher Painter in promoting cyber security on a global scale.,One notable figure in cyber security who has made significant contributions to the field is Anne Neuberger. She currently serves as the Deputy National Security Advisor for Cyber and Emerging Technology in the Biden administration. Prior to her current role, Neuberger was the Director of Cybersecurity at the National Security Agency (NSA), where she oversaw the agency's efforts to protect against cyber threats. Neuberger has been a strong advocate for improving cyber security awareness and implementing innovative strategies to mitigate cyber threats. In a speech at the RSA Conference in 2019, she emphasized the need for collaboration between the public and private sectors to address cyber threats. She also highlighted the importance of investing in research and development to stay ahead of emerging threats. During her tenure at the NSA, Neuberger spearheaded several initiatives to improve cyber security. One notable example is the creation of the Cybersecurity Directorate, which consolidated the agency's cyber security efforts and focused on developing new tools and techniques to defend against cyber threats. She also led the development of the NSA's "Stop. Think. Connect." campaign, which aimed to educate the public about cyber security best practices. Neuberger's contributions to the field of cyber security have been widely recognized. In 2020, she was named to TIME's list of the 100 most influential people in the world for her work in protecting against cyber threats. She has also received numerous awards for her cyber security efforts, including the NSA's Exceptional Civilian Service Award and the Presidential Rank Award. The current state of cyber security is characterized by a rapidly evolving threat landscape and a growing number of sophisticated cyber attacks. The COVID-19 pandemic has also created new vulnerabilities, as more people work remotely and rely on digital technologies for communication and collaboration. The industry faces several challenges, including a shortage of skilled cyber security professionals, inadequate funding for research and development, and a lack of international cooperation on cyber security issues. Neuberger has played a significant role in shaping the future of cyber security by advocating for increased collaboration and investment in research and development. Her leadership at the NSA and her current role in the Biden administration demonstrate her commitment to improving cyber security at the highest levels of government. As the industry continues to evolve, Neuberger's contributions will be critical in ensuring that the United States remains secure and resilient in the face of cyber threats.

answer:Certainly! Here's a step-by-step guide to help you create an exceptional and captivating webpage using the Go programming language: 1. Choose an appropriate web-framework: Go has great web-frameworks such as Gin, Gorilla, Revel, and Echo. Use one of these frameworks to build your web application. 2. Design a captivating webpage: Ensure that your design aligns with the event or news you want to discuss. You can use tools such as Canva, Adobe Photoshop, or Sketch to design your webpage layout, color scheme, and fonts. 3. Add relevant content: Write an influential and attention-grabbing headline for the webpage. Use appropriate and relevant content, such as images, videos, or infographics, to support the text and help convey the story effectively. You can use Go's powerful handling libraries to display these multimedia elements on the webpage. 4. Implement styling and formatting: Ensure that the format and styling resonate with the intended audience and the precise vibe of the content. Use CSS framework such as Bootstrap, Bulma, or Materialize to apply styles to your web application. 5. Create interactive elements: Incorporate interactive elements such as videos, animations, or infographics to enhance the user experience. You can use Go's standard library or third-party libraries such as GoVid for video, gg for graphics, or github.com/ooclab/gifvision for GIFs to display these elements on your webpage. 6. Publish your webpage: After you've built your webpage, you can deploy it using a service like Heroku, AWS, or Google Cloud. Once deployed, promote the webpage through social media, email newsletters, or even traditional advertising techniques to reach your target audience. By following these steps and using the recommended tools, you can build an exceptional and captivating webpage using the Go programming language.,To create an exceptional and captivating webpage with Go programming language, you can use a web framework like Gin or Echo to handle the HTTP requests and responses. You can also use a template engine like Go's built-in html/template or third-party libraries like Jet or Pongo2 to render the HTML pages. To create an influential and attention-grabbing headline, you can use a catchy and descriptive title that summarizes the content of the news report. You can also use bold and contrasting fonts to make the headline stand out. For top-notch visuals, you can use high-quality images or videos that are relevant to the news report. You can also use graphics or infographics to illustrate key points or statistics. To include pertinent links that lead to the source article, you can use anchor tags with descriptive text that indicates the source of the information. To ensure that the format and styling resonate with the intended audience and the precise vibe of the content, you can use CSS to style the HTML elements. You can also use responsive design techniques to ensure that the webpage looks great on different devices. To incorporate interactive elements such as videos, animations, or infographics, you can use HTML5 and CSS3 features like the video element, CSS animations, and SVG graphics. You can also use JavaScript and libraries like jQuery or D3.js to create more advanced interactive elements. Overall, creating an exceptional and captivating webpage requires a combination of technical skills, creativity, and attention to detail. With the right tools and techniques, you can create a webpage that engages and informs your audience., Creating an engaging and captivating webpage using the Go programming language involves a combination of good design, compelling content, and interactive elements. Here are some techniques and tools that can help you achieve your objectives: 1. Use the Go programming language to build the backend of your webpage. You can use the net/http package to handle HTTP requests and responses, and the html/template package to generate HTML templates. 2. Choose a striking headline that accurately reflects the content of your news report. The headline should be clear, concise, and compelling. 3. Use high-quality visuals to accompany your news report. This could include images, videos, or animations. You can use the image or video packages in Go to handle image and video processing. 4. Include pertinent links to the source article. This not only provides credibility to your content but also allows users to read the full article if they wish. 5. Use CSS frameworks such as Bootstrap or Materialize to style your webpage. These frameworks offer pre-built components and styles that can help you create a modern and responsive design. 6. Consider using a front-end framework such as React or Vue.js to create interactive elements for your webpage. These frameworks can help you create dynamic and engaging user experiences. 7. Use a graphics library such as D3.js or Chart.js to create interactive infographics or charts. These libraries can help you visualize data in a meaningful and engaging way. 8. Test your webpage on different devices and browsers to ensure that it looks and functions as intended. 9. Optimize your webpage for SEO by including relevant keywords and meta tags. 10. Continuously update and improve your webpage with new content and features to keep users engaged and coming back for more. Some popular tools for creating webpages using Go include: 1. Gin - a web framework for building APIs and web applications. 2. Echo - a fast and unfancy web framework for Go. 3. Revel - a high-productivity web framework for the Go language. 4. Hugo - a fast and flexible static site generator written in Go. 5. Mux - a powerful URL router and controller for golang. By employing these techniques and tools, you can create an exceptional and captivating webpage that presents an exhaustive account of a current event or news report using the Go programming language.

answer:The missing number in the sequence is 20. The pattern here is that each number is the sum of the two preceding numbers plus 2. So, the sequence is: 5, 8 (5+3), 13 (8+5), 20 (13+7), 31 (20+11), 56 (31+25).,Sure! The pattern in the given sequence appears to be a sum of the previous two numbers. Here's how it works: 1. 5 + 8 = 13 2. 8 + 13 = 21 3. Now insert 21, so the new sequence becomes: 5, 8, 13, 21, 31, 56 The missing number in the sequence is 21.,Yes, I can help you find the missing number in the sequence. The pattern in the sequence seems to be that each number is the sum of the previous two numbers. So, 5 + 8 = 13, 8 + 13 = 21, 13 + 21 = 34, 21 + 34 = 55, and 34 + 55 = 89. Therefore, the missing number in the sequence is 21 + 34 = 55. The completed sequence is: 5, 8, 13, 21, 34, 55, 31, 56.

answer:The most complex mathematical models used in cryptography are typically based on number theory and abstract algebra. Two of the most widely used models are: 1. Elliptic Curve Cryptography (ECC): ECC is based on the algebraic structure of elliptic curves over finite fields. It provides stronger security with smaller keys compared to other public-key cryptosystems, making it an attractive option for resource-constrained devices. 2. Lattice-based Cryptography: This model is based on the theory of lattices, which are discrete subgroups of R^n. Lattice-based cryptography provides quantum-resistant security, making it a promising candidate for the post-quantum cryptography era. In this answer, we'll discuss the implementation of an ECC-based secure encryption scheme and briefly touch upon lattice-based cryptography. **Elliptic Curve Cryptography (ECC)** ECC involves a pair of algorithms: key generation, and encryption/decryption. 1. **Key Generation:** Alice and Bob agree on an elliptic curve E over a finite field Fp and a base point G with a large prime order n. Alice and Bob generate their private keys by choosing random integers a and b, respectively, such that 1 < a, b < n. Alice's public key is A = aG, and Bob's public key is B = bG. 2. **Encryption:** To send a message M to Bob, Alice performs the following steps: 1. Converts M into an integer m, where m < n. 2. Chooses a random integer k, where 1 < k < n. 3. Calculates the shared secret key K = kB (which is essentially k times Bob's public key). 4. Computes the ciphertext C = mG + K. Bob receives C and calculates K' = kA (essentially k times Alice's public key) and retrieves M by computing M = C - K'. This can be implemented using libraries like `cryptography` in Python: ```python from cryptography.hazmat.primitives.asymmetric import ec from cryptography.hazmat.primitives import serialization # Generate key pair private_key = ec.generate_private_key(ec.SECP256R1()) public_key = private_key.public_key() # Serialize public key pem = public_key.public_bytes( encoding=serialization.Encoding.PEM, format=serialization.PublicFormat.SubjectPublicKeyInfo ) # Deserialize public key received_key = ec.ECCPublicKey(pem) # Encrypt message message = 42 point = ec.EllipticCurvePoint(ec.SECP256R1(), b'x03xbd+zx8fx14xed9xb4x1bxd4xfexcaxedx1ax1bxd4xfexcaxedx1ax1bxd4xfexcaxedx1ax1bxd4xfexcaxedx1a', b'x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00') k = ec.generate_private_key(ec.SECP256R1()).private_numbers().private_value K = point * k ciphertext = (message * point + K).public_bytes( encoding=serialization.Encoding.PEM, format=serialization.PublicFormat.SubjectPublicKeyInfo ) # Decrypt and retrieve message received_message = int.from_bytes( ec.EllipticCurvePoint(ec.SECP256R1(), received_key.public_key(), b'x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00').x, 'big' ) % n ``` **Quantum Computing Era and Lattice-Based Cryptography** Lattice-based cryptography, particularly the NTRU encryption scheme, is considered a promising candidate for the post-quantum cryptography era. The NTRU encryption scheme is based on the problem of finding a short vector in a high-dimensional lattice and provides quantum resistance. For the encryption process, a and b are chosen such that a hybrid lattice is created, and the encryption/decryption keys and their associated algorithms are built upon this lattice. The message is multiplied by a matrix raised to the power of the secret key and added with the public key matrix. While implementing and analyzing the NTRU encryption scheme is beyond this answer's scope, interested readers can refer to the following resources for more information: * NTRU Cryptosystem: The Basics and Its Security Analysis(https://www.hindawi.com/journals/isrn/2014/693951/) * PQCrypto 2014: NTRUEncrypt in the NTRU Prime variant(https://pqcrypto.org/pqcrypto2014/slides/PQCrypto2014_talk_Hoffstein.pdf) * NTRU official website(https://www.ntru.com/) * NTRU implementation in C (mini-ntru)(https://github.com/PQCLEAN/mini-ntru) Confidence: 85%,The most complex mathematical model used in cryptography is the RSA algorithm, which is used for encryption and decryption of data. The RSA algorithm is based on the fact that it is easy to multiply two large prime numbers together, but it is very difficult to factor the product back down into its original prime factors. This factorisation difficulty forms the basis of the encryption method. In a quantum computing era, the RSA algorithm will no longer be secure because quantum computers can quickly factor large integers. To ensure secure data transmission in a quantum computing era, other encryption algorithms, such as the Elliptic Curve Integrated Encryption Scheme (ECIES), can be used. To design a secure encryption scheme, ECIES can be implemented in the following way: 1. Parameter Selection: Generate a random private key and a public key. 2. Encryption: Encrypt the data using the public key. 3. Decryption: Decrypt the data using the private key. The following code demonstrates a simple implementation of ECIES: ```python from ecpy.curves import Curve from ecpy.curves import point from ecpy.curves import Scalar from ecpy.curves import BasicFieldElement from ecpy.curves import Fq # Generating a curve c = Curve.get("secp192r1") # Key Generation private_key = Scalar.get_random(c) # Extracting the private key values p, a, b = c.p, c.a, c.b # Public key computation public_key = point(BasicFieldElement(p), c) # Deriving the public key from the private key public_key.mul(private_key) # Encryption plaintext = "Secret_Message" X = Scalar.get_random(c) ceremonial_pubkey = point(Fq(public_key.x().get_raw()), c) public_key_enc = ceremonial_pubkey * X plaintext_enc = (X*О) + point(Fq(plaintext), c) enc_key = plaintext_enc * public_key_enc # Decryption decrypted_data = (enc_key*О).x().get_raw() decrypted_text = decrypted_data.decode() # Decrypted Text would be: Secret_Message ``` This is an example implementation, and real-world usage would require additional error checking, key management, and validation steps. It should be noted that this is only a basic design of a secure encryption scheme using ECIES, and the actual implementation would require a more in-depth understanding of cryptography.,The most complex mathematical models used in cryptography are based on advanced mathematical concepts such as number theory, group theory, and elliptic curve theory. These models are used to create encryption schemes that are difficult to break, even with the most powerful computers available. In the quantum computing era, traditional encryption schemes such as RSA and AES are vulnerable to attacks by quantum computers. To ensure secure data transmission in this era, new encryption schemes such as lattice-based cryptography and code-based cryptography are being developed. One lattice-based encryption scheme that shows promise is the Ring-LWE (Learning with Errors) scheme. This scheme is based on the hardness of finding the closest vector in a lattice, and it is resistant to quantum attacks. The scheme works by generating a public key from a random matrix and a secret key from a set of random vectors. The message is encrypted by adding a noise vector to the product of the message and the public key. The receiver can then decrypt the message using the secret key. Here is an example of how the Ring-LWE encryption scheme can be implemented in Python: First, we need to import the necessary libraries: ```python import numpy as np from numpy.linalg import inv ``` Next, we define the parameters for the encryption scheme: ```python n = 8 q = 2**8 sigma = 8 ``` We generate a random matrix A and a random vector s to create the public and secret keys: ```python A = np.random.randint(0, q, size=(n, n)) s = np.random.randint(0, q, size=n) ``` To encrypt a message, we generate a random noise vector e and compute the ciphertext: ```python m = np.array(1, 0, 1, 1, 0, 1, 0, 1) e = np.random.normal(0, sigma, size=n) c = (np.dot(m, A) + e) % q ``` To decrypt the ciphertext, we compute the inner product of the ciphertext and the secret key modulo q: ```python m_decrypt = (np.dot(c, s) % q) % 2 ``` Finally, we check if the decrypted message is the same as the original message: ```python if np.array_equal(m, m_decrypt): print("Decryption successful!") else: print("Decryption failed.") ``` This implementation is a simple example of the Ring-LWE encryption scheme and does not include all the necessary security measures. A more comprehensive implementation would include additional steps such as key generation and parameter selection to ensure the security of the encryption scheme.