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Author: Jordan Schroeder
Publisher: Apress
ISBN: 1484228359
Category : Computers
Languages : en
Pages : 102
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Book Description
Gain greater compliance with corporate training by addressing the heart of the very awareness vs. compliance problem: people are human. People have incredible strengths and incredible weaknesses, and as a Information Security professional, you need to recognize and devise training strategies that take advantage of both. This concise book introduces two such strategies, which combined, can take a security awareness program to the next level of effectiveness, retention, compliance, and maturity. Security policies and procedures are often times inconvenient, technically complex, and hard to understand. Advanced Persistent Training provides numerous tips from a wide range of disciplines to handle these especially difficult situations. Many information security professionals are required by regulation or policy to provide security awareness training within the companies they work for, but many believe that the resulting low compliance with training does not outweigh the costs of delivering that training. There are also many who believe that this training is crucial, if only it could be more effective. What you will learn: Present awareness materials all year-round in a way that people will really listen. Implement a "behavior-first" approach to teaching security awareness. Adopt to gamification the right way, even for people who hate games. Use tips from security awareness leaders addressing the same problems you face. Who is this book for Security awareness professionals or IT Security professionals who are tasked with teaching security awareness within their organization.
Author: Jordan Schroeder
Publisher: Apress
ISBN: 1484228359
Category : Computers
Languages : en
Pages : 102
Get Book Here
Book Description
Gain greater compliance with corporate training by addressing the heart of the very awareness vs. compliance problem: people are human. People have incredible strengths and incredible weaknesses, and as a Information Security professional, you need to recognize and devise training strategies that take advantage of both. This concise book introduces two such strategies, which combined, can take a security awareness program to the next level of effectiveness, retention, compliance, and maturity. Security policies and procedures are often times inconvenient, technically complex, and hard to understand. Advanced Persistent Training provides numerous tips from a wide range of disciplines to handle these especially difficult situations. Many information security professionals are required by regulation or policy to provide security awareness training within the companies they work for, but many believe that the resulting low compliance with training does not outweigh the costs of delivering that training. There are also many who believe that this training is crucial, if only it could be more effective. What you will learn: Present awareness materials all year-round in a way that people will really listen. Implement a "behavior-first" approach to teaching security awareness. Adopt to gamification the right way, even for people who hate games. Use tips from security awareness leaders addressing the same problems you face. Who is this book for Security awareness professionals or IT Security professionals who are tasked with teaching security awareness within their organization.
Author: Jordan Schroeder
Publisher: Createspace Independent Publishing Platform
ISBN: 9781517690434
Category :
Languages : en
Pages : 108
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Book Description
Many Information Security professionals are required by regulation or policy to provide Security Awareness training within the companies they work for, but many believe that the resulting low compliance with training does not outweigh the costs of delivering that training. There are also many who believe that this training is crucial, if only it could be more effective. This book is for them. The answer to low compliance rests in the heart of the very Awareness vs. Compliance problem: people are human. People have incredible strengths and incredible weaknesses, and Information Security professionals need to recognize and devise training strategies that take advantage of both. Advanced Persistent Training looks at how Security Awareness programmes can work with people by using behavioural modification and coaching techniques in order to efficiently achieve measurably higher levels of compliance, engagement, and effectiveness.
Author: Shui Yu
Publisher: Springer Nature
ISBN: 9811591296
Category : Computers
Languages : en
Pages : 756
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Book Description
This book constitutes the refereed proceedings of the First International Conference on Security and Privacy in Digital Economy, SPDE 2020, held in Quzhou, China, in October 2020*. The 49 revised full papers and 2 short papers were carefully reviewed and selected from 132 submissions. The papers are organized in topical sections: cyberspace security, privacy protection, anomaly and intrusion detection, trust computation and forensics, attacks and countermeasures, covert communication, security protocol, anonymous communication, security and privacy from social science. *The conference was held virtually due to the COVID-19 pandemic.
Author: Emmanuel Tsukerman
Publisher: Packt Publishing Ltd
ISBN: 1838556346
Category : Computers
Languages : en
Pages : 338
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Book Description
Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key FeaturesManage data of varying complexity to protect your system using the Python ecosystemApply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineeringAutomate your daily workflow by addressing various security challenges using the recipes covered in the bookBook Description Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers. You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach. What you will learnLearn how to build malware classifiers to detect suspicious activitiesApply ML to generate custom malware to pentest your securityUse ML algorithms with complex datasets to implement cybersecurity conceptsCreate neural networks to identify fake videos and imagesSecure your organization from one of the most popular threats – insider threatsDefend against zero-day threats by constructing an anomaly detection systemDetect web vulnerabilities effectively by combining Metasploit and MLUnderstand how to train a model without exposing the training dataWho this book is for This book is for cybersecurity professionals and security researchers who are looking to implement the latest machine learning techniques to boost computer security, and gain insights into securing an organization using red and blue team ML. This recipe-based book will also be useful for data scientists and machine learning developers who want to experiment with smart techniques in the cybersecurity domain. Working knowledge of Python programming and familiarity with cybersecurity fundamentals will help you get the most out of this book.
Author: Ruth, J. Anitha
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 557
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Book Description
In the relentless battle against escalating cyber threats, data security faces a critical challenge the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.
Author: Dr. Denise A. D. Bedford
Publisher: Academic Conferences and publishing limited
ISBN: 1911218719
Category :
Languages : en
Pages : 553
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Book Description
These proceedings represent the work of researchers participating in the 6th International Conference on Innovation and Entrepreneurship (ICIE 2018) which is being co-hosted by Georgetown University and George Washington University and is being held at The University of the District of Columbia (UDC) on 5-6 March 2018.
Author: Chiheb Chebbi
Publisher: Packt Publishing Ltd
ISBN: 178899311X
Category : Language Arts & Disciplines
Languages : en
Pages : 264
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Book Description
Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security systems Perform unique cyber attacks to breach robust systems Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it’s important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you’ve gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you’ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you’ll focus on topics such as network intrusion detection and AV and IDS evasion. We’ll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn Take an in-depth look at machine learning Get to know natural language processing (NLP) Understand malware feature engineering Build generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.
Author: Clarence Chio
Publisher: "O'Reilly Media, Inc."
ISBN: 1491979879
Category : Computers
Languages : en
Pages : 385
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Book Description
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 165
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Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Author: Biao Luo
Publisher: Springer Nature
ISBN: 9819981263
Category : Neural computers
Languages : en
Pages : 603
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Book Description
The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
