This book constitutes the proceedings of the 40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021, which took place in York, UK, in September 2021.
This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent System (ICIS 2023), organized by Industrial University of Ho Chi Minh City, Vietnam during September 29-30, 2023.
Target, test, analyze, and report on security vulnerabilities with pen testing Pen Testing is necessary for companies looking to target, test, analyze, and patch the security vulnerabilities from hackers attempting to break into and compromise their organizations data.
This book is a collection of best-selected research papers presented at International Conference on Network Security and Blockchain Technology (ICNSBT 2024), held at Jalpaiguri Government Engineering College (JGEC), Jalpaiguri, West Bengal, India, during March 6-8, 2024.
Understand the cyber kill chain framework and discover essential tactics and strategies to effectively prevent cyberattacksKey FeaturesExplore each stage of the cyberattack process using the cyber kill chain and track threat actor movementsLearn key components of threat intelligence and how they enhance the cyber kill chainApply practical examples and case studies for effective, real-time responses to cyber threatsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGain a strategic edge in cybersecurity by mastering the systematic approach to identifying and responding to cyber threats through a detailed exploration of the cyber kill chain framework.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications.
This book constitutes the refereed proceedings of the 11th International Workshop on Software Engineering for Resilient Systems, SERENE 2019, held in Naples, Italy, in September 2019.
The two-volume proceedings set LNCS 12710 and 12711 constitutes the proceedings of the 24th IACR International Conference on Practice and Theory of Public Key Cryptography, PKC 2021, which was held online during May 10-13, 2021.
This book constitutes selected papers from the 23rd International Conference on Information Security and Cryptology, ICISC 2020, held in Seoul, South Korea, in December 2020.
From Mike Meyers, the #1 name in CompTIA training and exam preparation, a thorough revision of his bestselling exam guide-updated to cover the 2015 release of the CompTIA Network+ exam.
Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks, while exploring techniques and algorithms to protect sensitive data from privacy breaches Key FeaturesUnderstand machine learning privacy risks and employ machine learning algorithms to safeguard data against breachesDevelop and deploy privacy-preserving ML pipelines using open-source frameworksGain insights into confidential computing and its role in countering memory-based data attacksPurchase of the print or Kindle book includes a free PDF eBookBook Description- In an era of evolving privacy regulations, compliance is mandatory for every enterprise Machine learning engineers face the dual challenge of analyzing vast amounts of data for insights while protecting sensitive information This book addresses the complexities arising from large data volumes and the scarcity of in-depth privacy-preserving machine learning expertise, and covers a comprehensive range of topics from data privacy and machine learning privacy threats to real-world privacy-preserving cases As you progress, you ll be guided through developing anti-money laundering solutions using federated learning and differential privacy Dedicated sections will explore data in-memory attacks and strategies for safeguarding data and ML models You ll also explore the imperative nature of confidential computation and privacy-preserving machine learning benchmarks, as well as frontier research in the field Upon completion, you ll possess a thorough understanding of privacy-preserving machine learning, equipping them to effectively shield data from real-world threats and attacks What you will learnStudy data privacy, threats, and attacks across different machine learning phasesExplore Uber and Apple cases for applying differential privacy and enhancing data securityDiscover IID and non-IID data sets as well as data categoriesUse open-source tools for federated learning (FL) and explore FL algorithms and benchmarksUnderstand secure multiparty computation with PSI for large dataGet up to speed with confidential computation and find out how it helps data in memory attacksWho this book is for This comprehensive guide is for data scientists, machine learning engineers, and privacy engineers Prerequisites include a working knowledge of mathematics and basic familiarity with at least one ML framework (TensorFlow, PyTorch, or scikit-learn) Practical examples will help you elevate your expertise in privacy-preserving machine learning techniques ]]>
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.
The 4 volume set LNCS 12112-12114 constitutes the papers of the 25th International Conference on Database Systems for Advanced Applications which will be held online in September 2020.
Learn to identify security incidents and build a series of best practices to stop cyber attacks before they create serious consequencesKey FeaturesDiscover Incident Response (IR), from its evolution to implementationUnderstand cybersecurity essentials and IR best practices through real-world phishing incident scenariosExplore the current challenges in IR through the perspectives of leading expertsBook DescriptionCybercriminals are always in search of new methods to infiltrate systems.
The adoption of Information and Communication Technologies (ICT) in healthcare is driven by the need to contain costs while maximizing quality and efficiency.
Nessus, Snort, and Ethereal Power Tools covers customizing Snort to perform intrusion detection and prevention; Nessus to analyze the network layer for vulnerabilities; and Ethereal to sniff their network for malicious or unusual traffic.
The biggest online threat to businesses and consumers today is ransomware, a category of malware that can encrypt your computer files until you pay a ransom to unlock them.
This book introduces the fundamentals of physical layer security (PLS) and demonstrates how a variety of PLS techniques can be applied to improve the security of wireless communication systems.
This book constitutes the refereed proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, held in Kingston, ON, Canada, in May 2019.
Arista Networks has become a key player when it comes to software-driven cloud networking solutions for large data center storage and computing environments.
This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, held in Hyderabad, India on 28-29 March 2024.
This book constitutes revised papers from the five workshops which were held during June 2020 at the 23rd International Conference on Business Information Systems, BIS 2020.
A top-level security guru for both eBay and PayPal and a best-selling information systems security author show how to design and develop secure Web commerce systems.
This book constitutes the refereed proceedings of the 14th International Conference on Network and System Security, NSS 2020, held in Melbourne, VIC, Australia, in November 2020.
This book constitutes the thoroughly refereed proceedings of the 3rd International Conference on IoT as a service, IoTaaS 2017, held in Taichung, Taiwan, in September 2017.
This book constitutes the refereed proceedings of the 10th International Conference on Digital Forensics and Cyber Crime, ICDF2C 2018, held in New Orleans, LA, USA, in September 2018.
With the recent debacle surrounding the cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of grasping the security and regulation of Web3, cryptocurrency, and blockchain projects has been magnified.
This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2019, 38th International Conference on Computer Safety, Reliability and Security, in September 2019 in Turku, Finland.
Motivation for the book Database security has been gaining a great deal of importance as industry, military, and government organizations have increasingly adopted Internet-based techno- gies on a large-scale, because of convenience, ease of use, and the ability to take advantage of rapid advances in the commercial market.
This six volume set LNCS 11063 - 11068 constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS 2018, held in Haikou, China, in June 2018.
