Download or read book TOR DARKNET BUNDLE 5 in 1 Master the ART OF INVISIBILITY written by Lance Henderson and published by Lance Henderson. This book was released on 2022-08-22 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: The #1 Killer Anonymity Package - 5 Books for the Price of 1! Darknet: The ULTIMATE Guide on the Art of Invisibility Want to surf the web anonymously? Cloak yourself in shadow? I will show you how to become a ghost in the machine - leaving no tracks back to your ISP. This book covers it all! Encrypting your files, securing your PC, masking your online footsteps with Tor browser, VPNs, Freenet and Bitcoins, and all while giving you peace of mind with TOTAL 100% ANONYMITY. - How to Be Anonymous Online AND Offline - Step by Step Guides for Tor, Freenet, I2P, VPNs, Usenet and more - Browser Fingerprinting - Anti-Hacking and Counter-forensics Techniques - Photo & Video Metadata - How to Encrypt Files (I make this super simple) - How to Defeat NSA Spying - How to Browse the Deep Web - How to Protect Your Identity - How to Hide Anything! Tor & The Dark Art of Anonymity The NSA hates Tor. So does the FBI. Even Google wants it gone, as do Facebook and Yahoo and every other soul-draining, identity-tracking vampiric media cartel that scans your emails and spies on your private browsing sessions to better target you - but there's hope. This manual will give you the incognito tools that will make you a master of anonymity! Covered in Tor: - Browse the Internet Anonymously - Darkcoins, Darknet Marketplaces & Opsec Requirements - Tor Hidden Servers - How to Not Get Caught - Counter-Forensics the FBI Doesn't Want You to Know About! - Windows vs. Linux Network Security - Cryptocurrency (Real Bitcoin Anonymity) - Supercookies & Encryption - Preventing Marketers and Debt Collectors From Finding You - How to Protect Your Assets - Home, Money & Family! - How to Hide Anything from even the most trained IRS agents The Invisibility Toolkit Within this book lies top secrets known only to the FBI and a few law enforcement agencies: How to disappear in style and retain assets. How to switch up multiple identities on the fly and be invisible such that no one; not your ex, not your parole officer, nor even the federal government can find you. Ever. You'll learn: - How to disappear overseas - How to wear a perfect disguise. - How to bring down a drone. - How to be invisible in Canada, Thailand, China or the Philippines. - How to use Bitcoin on the run. - How to fool skip tracers, child support courts, student loan collectors - How to sneak into Canada - How to be anonymous online using Tor, Tails and the Internet Underground - Edward Snowden's biggest mistake. Usenet: The Ultimate Guide The first rule of Usenet: Don't Talk About Usenet! But times have changed and you want what you want. Usenet is the way to go. I will show you: - How to use Usenet - which groups to join, which to avoid - How to be anonymous online - Why Usenet is better than torrents - How to use Tor, How to use PGP, Remailers/Mixmaster, SSL. - How to encrypt your files - Which Vpn and Usenet companies rat you out, and which won't. - How to Stay Anonymous Online You've probably read The Hacker Playbook by Peter Kim and the Art of Invisibility by Kevin Mitnick. While they are fine books, you need this super pack to take it to the NEXT LEVEL. Scroll to the top of the page and select the "buy" button and wear a cloak of invisibility TODAY!

Download or read book Advanced Deep Learning with Python written by Ivan Vasilev and published by Packt Publishing Ltd. This book was released on 2019-12-12 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles. By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world. What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.

Download or read book Darknet Master written by Warren Wake and published by Independently Published. This book was released on 2023-04-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast Internet includes 3 layers. The initial layer (surface web) is public, comprising websites we use regularly like Facebook, Twitter, Amazon and LinkedIn. This coating makes up just 4% of the full Internet.What's another 96%? The deep web along with the darknet. The deep net, the next coating, is a system where information is stored in databases that are inaccessible. The darknet is that the third largest, deeper layer of the Web where you can find practically everything. People normally can't access it if they don't know how. Do you want to know and access the deep web? Do you want to know how to navigate in complete safety, anonymous and 100% invisible? Do you want to know what Tor is and how use it? VPNs? Differences between Tor, I2P, Freenet and much more? This is the book for you. Read it!✔ INTRODUCTION TO DARKNET✔ THE DEEP WEB✔ THE DARKNET✔ ACCESSING THE DARKNET - DARK WEB✔ STEP BY STEP GUIDE TO SAFELY ACCESSING THE DARK NET AND DEEP WEB✔ BRIGHT SPOTS ON THE DARKNET✔ THREAT INTELLIGENCE✔ WHAT'S TOR AND THE DEEP WEB?✔ DARK WEB SEARCH FOR YOUR OSINT STRATEGY✔ IMPACT OF DARKNET ON CYBERSECURITY✔ ALL ABOUT VPN✔ HOW TO USE TOR✔ DIFFERENCES BETWEEN TOR, I2P AND FREENET✔ AND MUCH MORE...

Download or read book Python Deep Learning written by Ivan Vasilev and published by Packt Publishing Ltd. This book was released on 2019-01-16 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.

Download or read book Exploding Data written by Michael Chertoff and published by Atlantic Monthly Press. This book was released on 2018-07-10 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: A former Secretary of Homeland Security examines our outdated laws regarding the protection of personal information, and the pressing need for change. Nothing undermines our freedom more than losing control of information about ourselves. And yet, as daily events underscore, we are ever more vulnerable to cyber-attack. In this bracing book, Michael Chertoff makes clear that our laws and policies surrounding the protection of personal information, written for an earlier time, are long overdue for a complete overhaul. On the one hand, the collection of data—more widespread by business than by government, and impossible to stop—should be facilitated as an ultimate protection for society. On the other, standards under which information can be inspected, analyzed, or used must be significantly tightened. In offering his compelling call for action, Chertoff argues that what is at stake is not so much the simple loss of privacy, which is almost impossible to protect, but of individual autonomy—the ability to make personal choices free of manipulation or coercion. Offering vivid stories over many decades that illuminate the three periods of data gathering we have experienced, Chertoff explains the complex legalities surrounding issues of data collection and dissemination today, and charts a path that balances the needs of government, business, and individuals alike. “Surveys the brave new world of data collection and analysis…The world of data as illuminated here would have scared George Orwell.”―Kirkus Reviews “Chertoff has a unique perspective on data security and its implications for citizen rights as he looks at the history of and changes in privacy laws since the founding of the U.S.”—Booklist

Download or read book Deep Learning written by Stephane Tuffery and published by John Wiley & Sons. This book was released on 2022-11-22 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find: A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning: From Big Data to Artificial Intelligence with R will also earn a place in the libraries of data science researchers and practicing data scientists.

Download or read book Master DarkNet and Deep Web Secrets of the DarkNet written by Gautam Kumawat and published by . This book was released on 2019-10-20 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: This specialized book is designed for Darknet & Deep Web Enthusiastic, Computer Science Students, Trainers, Government and Police Investigators, to understand how to browse into the hidden internet and access social media, darknet market place and how to operate in this new environment. This book contains advanced level content presented for an individual darknet user also those with a non-technical background will also benefit from the material presented.Real-world examples and incidents support the course material. Students will practically learn everything along with a demonstration.The book will allow students to understand Darknet and Deep web from Depth and Law enforcement to step up their investigative skills to meet the new challenges offered by the anonymity of the Darknet.

Download or read book Hidden Web written by Rob Botwright and published by Rob Botwright. This book was released on 101-01-01 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 🌐 Unlock the Secrets of the Hidden Web: Dive into the Depths of the Internet! 🌐 Are you ready to embark on a journey through the digital underworld? Explore the depths of the internet with our captivating book bundle, "Hidden Web: Decoding the Deep Web, Dark Web, and Darknet." This comprehensive collection of four books will take you on an enlightening tour of the hidden layers of the web, from beginner basics to advanced expert strategies. 📚 Book 1 - Hidden Web Demystified: A Beginner's Guide to Understanding the Deep Web Discover the fundamentals of the Deep Web, unraveling its vastness and mysteries. This beginner's guide provides you with the essential knowledge to understand the hidden web's structure and significance. 🕵️‍♂️ Book 2 - Navigating the Dark Web: Unmasking the Secrets of the Hidden Web Take a deep dive into the enigmatic world of the Dark Web. Uncover its secrets, explore hidden marketplaces, and navigate safely and ethically. You'll become a skilled Dark Web navigator by the end of this volume. 🔒 Book 3 - Mastering the Darknet: Advanced Strategies for Cybersecurity Experts Equip yourself with advanced cybersecurity techniques and strategies. Learn how to maintain anonymity, enhance security, and stay ahead of cyber threats. This book is essential for those looking to combat the challenges of the Darknet. 📈 Book 4 - The Hidden Web Unveiled: A Comprehensive Guide for Seasoned Professionals For seasoned professionals, this comprehensive guide provides insights into emerging trends, innovations, and ethical considerations. Stay at the forefront of Hidden Web technology with this ultimate resource. 🌟 Why Choose Our Hidden Web Bundle? · Gain a holistic understanding of the hidden layers of the internet. · Start as a beginner and progress to an expert in the Hidden Web ecosystem. · Learn essential cybersecurity skills and strategies. · Uncover the latest trends and ethical considerations in Hidden Web technology. 📕 BONUS: Free Access to Exclusive Resources When you purchase the "Hidden Web" bundle, you'll also receive access to exclusive resources and updates to keep you informed about the evolving landscape of the Hidden Web. Don't miss your chance to decode the Deep Web, explore the Dark Web, and master the Darknet with our all-inclusive book bundle. Order now and embark on your journey into the hidden realms of the internet! 🚀 🛒 Click "Add to Cart" to get your copy of "Hidden Web: Decoding the Deep Web, Dark Web, and Darknet" today! 🛒

Download or read book Darknet written by J. D. Lasica and published by Trade Paper Press. This book was released on 2005-05-02 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to copyright laws, technology, politics regarding the future ownership of information.

Download or read book Artificial Intelligence Programming with Python written by Perry Xiao and published by John Wiley & Sons. This book was released on 2022-02-21 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.

Download or read book Disclosure of Security Vulnerabilities written by Alana Maurushat and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much debate has been given as to whether computer security is improved through the full disclosure of security vulnerabilities versus keeping the problems private and unspoken. Although there is still tension between those who feel strongly about the subject, a middle ground of responsible disclosure seems to have emerged. Unfortunately, just as we’ve moved into an era with more responsible disclosure, it would seem that a market has emerged for security vulnerabilities and zero day exploits. Disclosure of Security Vulnerabilities: Legal and Ethical Issues considers both the ethical and legal issues involved with the disclosure of vulnerabilities and explores the ways in which law might respond to these challenges.

Download or read book Pythonic AI written by Arindam Banerjee and published by BPB Publications. This book was released on 2023-10-31 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the power of AI with Python: Your Journey from Novice to Neural Nets KEY FEATURES ● Learn to code in Python and use Google Colab's hardware accelerators (GPU and TPU) to train and deploy AI models efficiently. ● Develop Convolutional Neural Networks (CNNs) using the TensorFlow 2 library for computer vision tasks. ● Develop sequence, attention-based, and Transformer models using the TensorFlow 2 library for Natural Language Processing (NLP) tasks. DESCRIPTION “Pythonic AI” is a book that teaches you how to build AI models using Python. It also includes practical projects in different domains so you can see how AI is used in the real world. Besides teaching how to build AI models, the book also teaches how to understand and explore the opportunities that AI presents. It includes several hands-on projects that walk you through successful AI applications, explaining concepts like neural networks, computer vision, natural language processing (NLP), and generative models. Each project in the book also reiterates and reinforces the important aspects of Python scripting. You'll learn Python coding and how it can be used to build cutting-edge AI applications. The author explains each essential line of Python code in detail, taking into account the importance and difficulty of understanding. By the end of the book, you will learn how to develop a portfolio of AI projects that will help you land your dream job in AI. WHAT YOU WILL LEARN ● Create neural network models using the TensorFlow 2 library. ● Develop Convolutional Neural Networks (CNNs) for computer vision tasks. ● Develop Sequence models for Natural Language Processing (NLP) tasks. ● Create Attention-based and Transformer models. ● Learn how to create Generative Adversarial Networks (GANs). WHO THIS BOOK IS FOR This book is for everyone who wants to learn how to build AI applications in Python, regardless of their experience level. Whether you're a student, a tech professional, a non-techie, or a technology enthusiast, this book will teach you the fundamentals of Python and AI, and show you how to apply them to real-world problems. TABLE OF CONTENTS 1. Python Kickstart: Concepts, Libraries, and Coding 2. Setting up AI Lab 3. Design My First Neural Network Model 4. Explore Designing CNN with TensorFlow 5. Develop CNN-based Image Classifier Apps 6. Train and Deploy Object Detection Models 7. Create a Text and Image Reader 8. Explore NLP for Advanced Text Analysis 9. Up and Running with Sequence Models 10. Using Sequence Models for Automated Text Classification 11. Create Attention and Transformer Models 12. Generating Captions for Images 13. Learn to Build GAN Models 14. Generate Artificial Faces Using GAN

Download or read book Encyclopedia of Criminal Activities and the Deep Web written by Khosrow-Pour D.B.A., Mehdi and published by IGI Global. This book was released on 2020-02-01 with total page 1162 pages. Available in PDF, EPUB and Kindle. Book excerpt: As society continues to rely heavily on technological tools for facilitating business, e-commerce, banking, and communication, among other applications, there has been a significant rise in criminals seeking to exploit these tools for their nefarious gain. Countries all over the world are seeing substantial increases in identity theft and cyberattacks, as well as illicit transactions, including drug trafficking and human trafficking, being made through the dark web internet. Sex offenders and murderers explore unconventional methods of finding and contacting their victims through Facebook, Instagram, popular dating sites, etc., while pedophiles rely on these channels to obtain information and photographs of children, which are shared on hidden community sites. As criminals continue to harness technological advancements that are outpacing legal and ethical standards, law enforcement and government officials are faced with the challenge of devising new and alternative strategies to identify and apprehend criminals to preserve the safety of society. The Encyclopedia of Criminal Activities and the Deep Web is a three-volume set that includes comprehensive articles covering multidisciplinary research and expert insights provided by hundreds of leading researchers from 30 countries including the United States, the United Kingdom, Australia, New Zealand, Germany, Finland, South Korea, Malaysia, and more. This comprehensive encyclopedia provides the most diverse findings and new methodologies for monitoring and regulating the use of online tools as well as hidden areas of the internet, including the deep and dark web. Highlighting a wide range of topics such as cyberbullying, online hate speech, and hacktivism, this book will offer strategies for the prediction and prevention of online criminal activity and examine methods for safeguarding internet users and their data from being tracked or stalked. Due to the techniques and extensive knowledge discussed in this publication it is an invaluable addition for academic and corporate libraries as well as a critical resource for policy makers, law enforcement officials, forensic scientists, criminologists, sociologists, victim advocates, cybersecurity analysts, lawmakers, government officials, industry professionals, academicians, researchers, and students within this field of study.

Download or read book Wired Revenge written by Toby Neal and published by Neal Enterprises INC. This book was released on 2022-02-24 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⭐️⭐️⭐️⭐️⭐️WIRED ROGUE, second in series, is FREE! ⭐️⭐️⭐️⭐️⭐️ If Lisbeth Salander and Jack Reacher had a Black/Thai love child, she'd be Sophie... and she's a badass. 💥 BUT SOPHIE'S IN TROUBLE. ✅ Her mom is an assassin who wants to kill her and take her babies ✅ Her cyber-vigilante ex-boyfriend is now a cult leader ✅ There's a handsome Frenchman making eyes ✅ She has a newborn baby, a toddler, a ninja nanny and two dogs to deal with while trying to move into a new house ✅ But right now, maybe she should just put on a bra and get ready for a showdown,, because Mama's comin' to get her. Paradise can’t contain an evil that’s sworn revenge. What would you do if your mother wanted you dead? Sophie has fought hard for a measure of peace and safety for her loved ones, but her assassin mother, hidden behind a beautiful new face, has other plans for the family. Sophie will need her friends, lovers, and dogs to have her back when she takes on an enemy that no one ever sees coming. “I love how this author keeps changing it up! I never know what to expect in these books.” R, Goodreads

Download or read book The Dark Net written by Jamie Bartlett and published by Melville House. This book was released on 2015-06-02 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: An NPR Best Book of the Year Included in The Washington Post's Notable Nonfiction of the Year An Independent and New Statesman Book of the Year Beyond the familiar online world that most of us inhabit—a world of Google, Facebook, and Twitter—lies a vast and often hidden network of sites, communities, and cultures where freedom is pushed to its limits, and where people can be anyone, or do anything, they want. This is the world of Bitcoin, 4chan, and Silk Road, of radicalism, crime, and pornography. This is the Dark Net. In this important and revealing book, Jamie Bartlett takes us deep into the digital underworld and presents an extraordinary look at the internet we don't know. Beginning with the rise of the internet and the conflicts and battles that defined its early years, Bartlett reports on trolls, pornographers, drug dealers, hackers, political extremists, Bitcoin programmers, and vigilantes—and puts a human face on those who have many reasons to stay anonymous. Rich with historical research and revelatory reporting, The Dark Net is an unprecedented, eye-opening look at a world that doesn't want to be known.

Download or read book Galactic Dark Net 1 written by Sonic Nine Light Year and published by WWW.WEBNOVEL.COM (Cloudary Holdings Limited). This book was released on 2017-09-19 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: When the last prodigy level esper on Earth disappeared, Earth was in deep trouble of becoming another species’ colony. The ordinary Han, with his intelligence and hardworking character, was able to make a fortune after “accidentally” stepping into the world of dark net, later purchasing an esper power crystal that brought him the ultimate power that changed the fate of the universe. Dark net is a subset of the Deep Web that is not only not indexed by traditional search engines, but that also requires special tools like specific proxy or authentication to gain access. Dark net is not restricted by any law or morals, so the dark net market has everything that is prohibited by the law. Drugs, slaves, firearms, uranium, bioweapons, rare animals, human testing, assassination, and the list goes on. During the year of 2075 on Earth, Han Lang logged into the largest hyperspace dark net market, and our story begins. ------ Release Rate: 3 Chapters/Week; will be released on Tue, Thur, and Sat;

Download or read book My Stunning Female Boss written by Sheng Xiudedouhao and published by Funstory. This book was released on 2019-11-16 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: The loli was gentle and easy to push around. The big sis liked to eat young grass; for a wife who liked extramarital affairs, the queen's whip couldn't be lacking!Before I resigned, I was a diaosi employee, and my boss goddess treated me like a dog.After I resigned, I was the world's number one programmer. I stepped on the Wealthy Marshal, accepted goddesses, lolis, celebrities, queens, royal sisters ... None of them could escape!