Analyzing and Securing Software Via Robust and Generalizable Learning

Analyzing and Securing Software Via Robust and Generalizable Learning
Author: Kexin Pei
Publisher:
Total Pages: 0
Release: 2023
Genre:
ISBN:

Software permeates every facet of our lives, improving their convenience and efficiency, and its sphere of influence continues to expand, leading to novel applications and services. However, as software grows in complexity, it increasingly exposes vulnerabilities within the intricate landscape of security threats. Program analysis emerges as a pivotal technique for constructing software that is secure, reliable, and efficient. Despite this, existing methodologies predominantly rely on rules and heuristics, which necessitate substantial manual tuning to accommodate the diverse components of software. In this dissertation, I introduce our advancements in data-driven program analysis, a novel approach in which we employ machine learning techniques to comprehend both the structures and behaviors of programs, thereby enhancing the analysis and security of software applications. Besides focusing on traditional software, I also elaborate on our work in the systematic testing and formal verification of learned software components, including neural networks.

Security-Driven Software Development

Security-Driven Software Development
Author: Aspen Olmsted
Publisher: Packt Publishing Ltd
Total Pages: 262
Release: 2024-03-15
Genre: Computers
ISBN: 1835461174

Trace security requirements through each development phase, mitigating multiple-layer attacks with practical examples, and emerge equipped with the skills to build resilient applications Key Features Explore the practical application of secure software development methodologies Model security vulnerabilities throughout the software development lifecycle (SDLC) Develop the skills to trace requirements, from requirements gathering through to implementation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionExtend your software development skills to integrate security into every aspect of your projects. Perfect for any programmer or developer working on mission-critical applications, this hands-on guide helps you adopt secure software development practices. Explore core concepts like security specifi cation, modeling, and threat mitigation with the iterative approach of this book that allows you to trace security requirements through each phase of software development. You won’t stop at the basics; you’ll delve into multiple-layer att acks and develop the mindset to prevent them. Through an example application project involving an entertainment ticketing software system, you’ll look at high-profi le security incidents that have aff ected popular music stars and performers. Drawing from the author’s decades of experience building secure applications in this domain, this book off ers comprehensive techniques where problem-solving meets practicality for secure development. By the end of this book, you’ll have gained the expertise to systematically secure software projects, from crafting robust security specifi cations to adeptly mitigating multifaceted threats, ensuring your applications stand resilient in the face of evolving cybersecurity challenges.What you will learn Find out non-functional requirements crucial for software security, performance, and reliability Develop the skills to identify and model vulnerabilities in software design and analysis Analyze and model various threat vectors that pose risks to software applications Acquire strategies to mitigate security threats specific to web applications Address threats to the database layer of an application Trace non-functional requirements through secure software design Who this book is for Many software development jobs require developing, maintaining, enhancing, administering, and defending software applications, websites, and scripts. This book is designed for software developers and web developers seeking to excel in these roles, offering concise explanations and applied example use-cases.

Artificial Intelligence, Blockchain, Computing and Security Volume 1

Artificial Intelligence, Blockchain, Computing and Security Volume 1
Author: Arvind Dagur
Publisher: CRC Press
Total Pages: 1278
Release: 2023-10-23
Genre: Computers
ISBN: 1003845851

This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.

Cochrane Handbook for Systematic Reviews of Interventions

Cochrane Handbook for Systematic Reviews of Interventions
Author: Julian P. T. Higgins
Publisher: Wiley
Total Pages: 672
Release: 2008-11-24
Genre: Medical
ISBN: 9780470699515

Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.

Metabolic and Senescence Characteristics Associated with the Immune Microenvironment in Tumor Cells

Metabolic and Senescence Characteristics Associated with the Immune Microenvironment in Tumor Cells
Author: Yewei Zhang
Publisher: Frontiers Media SA
Total Pages: 246
Release: 2024-04-11
Genre: Medical
ISBN: 2832547699

A common feature of cancer metabolism is the ability to obtain essential nutrients from a nutrient-poor environment and use them to maintain viability as well as generate new biomass. Alterations in intracellular and extracellular metabolites can be accompanied by tumor-associated metabolic reprogramming with profound effects on gene expression, cell differentiation, and tumor microenvironment. In these cases, the metabolic microenvironment of the tumor itself can present an immunosuppressive environment that needs to be overcome. Specifically, it will help maximize the efficacy of cancer therapies by identifying targets that suppress or alter cancer metabolism to improve the tumor microenvironment nutrient availability or that modulate immune metabolism to bolster inflammation.

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Author: Alessandro Crimi
Publisher: Springer Nature
Total Pages: 506
Release: 2022-07-21
Genre: Computers
ISBN: 3031089995

This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties in Biomedical Image Quantification (QUBIQ). These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in September 2021. The 91 revised papers presented in these volumes were selected form 151 submissions. Due to COVID-19 pandemic the conference was held virtually. This is an open access book.

Game Theory and Machine Learning for Cyber Security

Game Theory and Machine Learning for Cyber Security
Author: Charles A. Kamhoua
Publisher: John Wiley & Sons
Total Pages: 546
Release: 2021-09-08
Genre: Technology & Engineering
ISBN: 1119723949

GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

INFORMATION TECHNOLOGY & BIOINFORMATICS INTERNATIONAL CONFERENCE ON ADVANCE IT, ENGINEERING AND MANAGEMENT SACAIM - 2023, VOLUME – 1

INFORMATION TECHNOLOGY & BIOINFORMATICS INTERNATIONAL CONFERENCE ON ADVANCE IT, ENGINEERING AND MANAGEMENT SACAIM - 2023, VOLUME – 1
Author: Dr. Hemalatha N.
Publisher: REDSHINE Publication
Total Pages: 340
Release: 2024-08-25
Genre: Education
ISBN: 9358096519

Whiteflies pose a significant threat to agricultural productivity worldwide, causing damage to crops and economic losses. In this study, we present an Android-based whiteflies detection system utilizing deep learning techniques, specifically leveraging the YOLOv5 algorithm. The objective is to create a robust and efficient solution capable of real-time whitefly detection in agricultural fields. The proposed system capitalizes on the powerful capabilities of YOLOv5, a state-of-the-art object detection algorithm, known for its accuracy and speed.

Social Science Research

Social Science Research
Author: Anol Bhattacherjee
Publisher: CreateSpace
Total Pages: 156
Release: 2012-04-01
Genre: Science
ISBN: 9781475146127

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.