Abhishek Singh – författare

Vulnerability Analysis is a process that defines, identifies, and classifies the vulnerabilities in a computer network or an application. Vulnerability in a network or application can in turn be used to launch various attacks like cross-site scripting attacks, SQL injection attacks, format string attacks, buffer overflows, DNS amplification attacks etc. Although these attacks are not new and are well known, the number of vulnerabilities disclosed to the public jumped nearly 5 percent during the first six months of 2007. This accounts to be the fourth year report, which shows the raise in vulnerability (see the news link on security focus http://www.securityfocus.com/brief/614). In January 2007, a vulnerable network resulted in a theft of 45.6 million credit card numbers in TJX companies due to unauthorized intrusion. A good protocol analysis and effective signature writing is one of the - fective method to prevent vulnerability and minimize the chances of intrusion in the network. However, protocol analysis poses two challenges namely false po- tive and evasion. If the signature to prevent the vulnerability is not written pr- erly, it will result in dropping of a valid traffic thereby resulting in false positive. An effective signature should also consider the chances of evasion; otherwise a malicious attacker can use the variant of exploit and evade the protection provided by the IDS/IPS.

Biogenic Nanoparticles: Interplay with Climate Change and Implications for Human Health provides an exhaustive exploration on the genesis, characteristics, and dynamic transformations of biogenic nanoparticles, unravelling the intricate mechanisms underpinning their far-reaching influence on the ever-evolving panorama of climate dynamics and complex ecosystems. The book will explore the myriad applications of biogenic nanoparticles across domains such as environmental sustainability, agriculture and renewable energy, highlighting their transformative potential to combat pressing global challenges.The multifaceted implications of biogenic nanoparticles for human health are included, meticulously dissecting their potential as groundbreaking agents in the realms of medicine and diagnostics and simultaneously addressing the critical issues surrounding their exposure and potential toxicity.Features the latest research findings and case studies to keep readers up-to-date with the most recent developments in the field of biogenic nanoparticles and their connection to climate change and human healthAdopts a multidisciplinary approach, integrating knowledge from environmental science, biology, chemistry, and healthcare to provide a comprehensive understanding of the subject matterServes as a valuable resource for those seeking a deeper understanding of the evolving field of biogenic nanoparticles and climate change

Responsible use of AI in public sector applications requires engagement with various technical and non-technical areas such as human rights, inclusion, diversity, innovation and economic growth. The book covers topics spanning the technological socio-economic spectrum, including the potential of AI/ML technologies to address social and political inequities, privacy-enhancing technologies for datasets, friction-less data sharing and data stewardship models, regional/geographical inequities in extraction and so forth.Features:Focuses on technical aspects of responsible AI in the public sectorCovers a wide range of topics spanning the technological socio-economic spectrumPresents viewpoints from public sector agencies as well as from practitionersDiscusses privacy-enhancing technologies for collecting, processing and storing datasets, and frictionReviews frameworks to identify and address biased AI outcomes in the design, development and use of AIThis book is aimed at professionals, researchers and students in artificial intelligence, computer science and engineering, policy-makers, social scientists, economists and lawyers.

Protect your organization from next-generation threats with this comprehensive analysis of cognitive cybercrimes, addressing future legal, ethical, and policy challenges in the age of AI. Cognitive Cyber Crimes in the Era of Artificial Intelligence explores the emerging dimension of cybercrime where artificial intelligence, neuroscience, and cryptography intersect. It introduces the concept of neurocryptic forensics, a novel framework for investigating AI-driven psychological manipulations, deepfake-induced fraud, cognitive hacking, and brainwave-targeted cyber-attacks. As digital threats evolve, cybercriminals are shifting from traditional hacking methods to exploiting human cognition. This book provides a comprehensive analysis of cognitive cybercrime techniques and equips readers with methodologies to detect, prevent, and mitigate such threats. It serves as a guide for researchers, cybersecurity professionals, forensic analysts, policymakers, and AI developers who aim to secure both digital infrastructures and human perception against next-generation cyber threats.

Vulnerability Analysis is a process that defines, identifies, and classifies the vulnerabilities in a computer network or an application. Vulnerability in a network or application can in turn be used to launch various attacks like cross-site scripting attacks, SQL injection attacks, format string attacks, buffer overflows, DNS amplification attacks etc. Although these attacks are not new and are well known, the number of vulnerabilities disclosed to the public jumped nearly 5 percent during the first six months of 2007. This accounts to be the fourth year report, which shows the raise in vulnerability (see the news link on security focus http://www.securityfocus.com/brief/614). In January 2007, a vulnerable network resulted in a theft of 45.6 million credit card numbers in TJX companies due to unauthorized intrusion. A good protocol analysis and effective signature writing is one of the - fective method to prevent vulnerability and minimize the chances of intrusion in the network. However, protocol analysis poses two challenges namely false po- tive and evasion. If the signature to prevent the vulnerability is not written pr- erly, it will result in dropping of a valid traffic thereby resulting in false positive. An effective signature should also consider the chances of evasion; otherwise a malicious attacker can use the variant of exploit and evade the protection provided by the IDS/IPS.

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning.What You'll Learn Understand machine learning algorithms using RMaster the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithmsSee industry focused real-world use casesTackle time series modeling in RApply deep learning using Keras and TensorFlow in RWho This Book is ForData scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.

Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud.By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user.What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learningWho This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.

A firewall is as good as its policies and the security of its VPN connections. The latest generation of firewalls offers a dizzying array of powerful options; they key to success is to write concise policies that provide the appropriate level of access while maximizing security. This book covers the leading firewall products: Cisco PIX, Check Point NGX, Microsoft ISA Server, Juniper's NetScreen Firewall, and SonicWall. It describes in plain English what features can be controlled by a policy, and walks the reader through the steps for writing the policy to fit the objective. Because of their vulnerability and their complexity, VPN policies are covered in more depth with numerous tips for troubleshooting remote connections.� The only book that focuses on creating policies that apply to multiple products.� Included is a bonus chapter on using Ethereal, the most popular protocol analyzer, to monitor and analyze network traffic.� Shows what features can be controlled by a policy, and walks you through the steps for writing the policy to fit the objective at hand

Changing Scenario of Business and E-Commerce Trends and Issues examines various aspects of business and e-commerce including an extensive historical overview and related issues. It includes definitions of evolution of E-Commerce, Globalization, challenges and changes, Global Business Management and Information Technology, U‐commerce. Provides the reader with insights into the development of its history, so as to understand the role of e-commerce in this changing market scenario. As this is the changing phase in marketing world, there are lot of trends and issues taking place and are discussed in detail.

Business Model for the Internet Economy is a book which discusses the concepts related to the business models which are used in the Internet Economy. First half of the book discusses about the global perspective on business and the rise of internet economy. This book provides information about the internet business model and further highlights the strategies in the internet economy. There are some other topics which have been covered in this book including blockchain and the new economy, learning management system and information technology and women and their progressive role in the internet economy. This book provides insights on some other topics such as digital transformation and business models, economic issues related to internet economy and the future of internet economy to the readers.

This new volume explores the important and cutting-edge roles that nanotechnology can play in facilitating sustainable agriculture. It provides recent updates on nanobiotechnology in soil science, plant breeding, food science, agricultural tool design and utilization, as well as the impacts of such approaches on properties of soils and plants. The book looks at the use of nanotechnology for crop production and protection, in the creation and application of pesticides, to enhance soil fertility and soil health, as a mitigating factor of plant abiotic stress, and more. The volume explores emerging nanotechnological tools and techniques for crop improvement that include space-inspired speed breeding for crop improvement, nanoparticles as sensing materials, plant nanobionics, nanopore DNA sequencing, and more.

Geoinformatics is a cutting-edge tool that develops and uses information science technology that can have far-reaching implications that include boosting agricultural output, increasing food supply, and reducing hunger-related problems in poor and developing countries. This new book, Geoinformatics: An Emerging Approach for Sustainable Crop Production and Food Security, highlights the many applications of geoinformatics in agriculture, mainly its potential to improve agricultural systems and environmental issues through innovative, eco-friendly approaches.The book is divided into seven sections. Part I contains foundational material on the field of geoinformatics. Part II discusses the role of geoinformatics in agriculture and food security. Part III serves broad knowledge about geoinformatics-based crop screening and protection. Part IV explains how geoinformatics integrates big data and AI for sustainable agriculture and horticulture. Part V deals with geoinformatics and fertilizers and base management of soil fertility. In Part VI, cutting-edge GIS methods are discussed for abiotic stresses management and climate change. The final section discusses the application of geoinformatics for policymaking and the impact of geoinformatics and climate change on agriculture systems.Providing state-of-the-art knowledge on both theoretical and applied aspects of nanotechnology in soil science, plant breeding, biotechnology, tools design, formulation, application, and management, as well as the effects of these tools on soil properties and plant characteristics, and some abiotic interactions, this new volume will prove invaluable for graduate students, researchers, and professionals in agricultural and related disciplines as well as policymakers.

This new volume explores the revolution in the use of smart technologies in agricultural science in recent years. Looking at nanotechnologies, geotechnologies, artificial intelligence, microbiology, biotechnology, and more, the volume focuses on the innovative applications of these technologies in plant sciences, particularly for their potential to enhance agricultural systems, increase plant productivity and yield, and address environmental issues through novel, eco-friendly approaches.

Currently, relativistic quantum mechanics is considered an advanced topic only accessible to students who have already received considerable training in non-relativistic quantum mechanics.

Currently, relativistic quantum mechanics is considered an advanced topic only accessible to students who have already received considerable training in non-relativistic quantum mechanics.

The agricultural food system needs to provide access to enough healthy and affordable food for the growing population and mitigate its impact on the planet for future generations. Emerging technologies can help farmers increase yields.The book presents theoretical and applied aspects of nanotechnology, biotechnology, plant breeding and smart farming to increase plant productivity, crop yield, soil fertility and crop soil monitoring.

The agricultural food system needs to provide access to enough healthy and affordable food for the growing population and mitigate its impact on the planet for future generations. Emerging technologies can help farmers increase yields.The book presents theoretical and applied aspects of nanotechnology and biotechnology. It also includes topics on management and food security.

With a burgeoning global population and intensifying environmental pressures, the imperative for sustainable and resilient agricultural practices has never been more crucial. Biogenic Nanoparticles and Biochar in Agriculture delves into the groundbreaking realm of biogenic nanoparticles and biochar, examining their pivotal roles in revolutionizing sustainable crop production and protection. Authored by leading experts, each chapter contributes valuable insights into the synthesis, applications, and integrated strategies involving biogenic nanoparticles and biochar. From mitigating abiotic stresses to bolstering pest and disease resistance, the book navigates the multidimensional landscape of innovative agricultural technologies. Its primary aim is to serve as a guide for researchers, practitioners, and students, equipping them with the knowledge to address pressing issues in modern agriculture and promote sustainable practices for long-term food security. The book stands as a pioneering resource that bridges the gap between theoretical advancements and practical applications, inspiring a paradigm shift toward ecologically sustainable farming practices.