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Author: Saed Alrabaee
Publisher: Springer
ISBN: 9783030342371
Category : Computers
Languages : en
Pages : 249
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Book Description
This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.
Author: Saed Alrabaee
Publisher: Springer
ISBN: 9783030342371
Category : Computers
Languages : en
Pages : 249
Get Book
Book Description
This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.
Author: Saed Alrabaee
Publisher: Springer Nature
ISBN: 3030342387
Category : Computers
Languages : en
Pages : 264
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Book Description
This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.
Author: Leonie Simpson
Publisher: Springer Nature
ISBN: 3031354869
Category : Computers
Languages : en
Pages : 658
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Book Description
This book constitutes the refereed proceedings of the 28th Australasian Conference on Information Security and Privacy, ACISP 2023, held in Brisbane, QLD, Australia, during July 5-7, 2023. The 27 full papers presented were carefully revised and selected from 87 submissions. The papers present and discuss different aspects of symmetric-key cryptography, public-key cryptography, post-quantum cryptography, cryptographic protocols, and system security.
Author: Kevin Daimi
Publisher: Springer Nature
ISBN: 3031140540
Category : Technology & Engineering
Languages : en
Pages : 507
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Book Description
This book, Proceedings of the ICR ́22 International Conference on Innovations in Computing Research, provides an essential compilation of relevant and cutting-edge academic and industry work on key computer and network security, smart cities, smart energy, IoT, health informatics, biomedical imaging, data science and computer science and engineering education topics. It offers an excellent professional development resource for educators and practitioners on the state-of-the-art in these areas and contributes towards the enhancement of the community outreach and engagement component of the above-mentioned areas. Various techniques, methods, and approaches adopted by experts in these fields are introduced. This book provides detailed explanation of the concepts that are pertinently reinforced by practical examples, and a road map of future trends that are suitable for innovative computing research. It is written by professors, researchers, and industry professionals with long experience in these fields to furnish a rich collection of manuscripts in highly regarded topics that have not been creatively compiled together before. This book can be a valuable resource to university faculty, students to enhance their research work and as a supplement to their courses in these fields, researchers, and industry professionals. Furthermore, it is a valuable tool to experts in these areas to contribute towards their professional development efforts.
Author: Yassine Maleh
Publisher: Springer Nature
ISBN: 303091738X
Category : Technology & Engineering
Languages : en
Pages : 621
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Book Description
This book gathers the proceedings of the International Conference on Information, Communication and Cybersecurity, held on November 10–11, 2021, in Khouribga, Morocco. The conference was jointly coorganized by The National School of Applied Sciences of Sultan Moulay Slimane University, Morocco, and Charles Darwin University, Australia. This book provides an opportunity to account for state-of-the-art works, future trends impacting information technology, communications, and cybersecurity, focusing on elucidating the challenges, opportunities, and inter-dependencies that are just around the corner. This book is helpful for students and researchers as well as practitioners. ICI2C 2021 was devoted to advances in smart information technologies, communication, and cybersecurity. It was considered a meeting point for researchers and practitioners to implement advanced information technologies into various industries. There were 159 paper submissions from 24 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 54 regular papers (34\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!
Author: Reza Montasari
Publisher: Springer Nature
ISBN: 3030871665
Category : Computers
Languages : en
Pages : 322
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Book Description
This book is an invaluable reference for those operating within the fields of Cyber Security, Digital Forensics, Digital Policing, Computer Science and Artificial Intelligence. The Internet of Things (IoT) ecosystem presents a wide range of consumer, infrastructure, organisational, industrial and military applications. The IoT technologies such as intelligent health-connected devices; unmanned aerial vehicles (UAVs); smart grids; cyber-physical and cyber-biological systems; and the Internet of Military/Battlefield Things offer a myriad of benefits both individually and collectively. For example, implantable devices could be utilised to save or enhance patients’ lives or offer preventative treatments. However, notwithstanding its many practical and useful applications, the IoT paradigm presents numerous challenges spanning from technical, legal and investigative issues to those associated with security, privacy and ethics. Written by internationally-renowned experts in the field, this book aims to contribute to addressing some of these challenges. Lawyers, psychologists and criminologists could also find this book a very valuable resource at their disposal, and technology enthusiasts might find the book interesting. Furthermore, the book is an excellent advanced text for research and master’s degree students as well as undergraduates at their final years of studies in the stated fields.
Author: Bharat S. Rawal
Publisher: Springer Nature
ISBN: 9811926581
Category : Technology & Engineering
Languages : en
Pages : 240
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Book Description
This textbook provides a comprehensive, thorough and up-to-date treatment of topics in cyber security, cyber-attacks, ethical hacking, and cyber crimes prevention. It discusses the different third-party attacks and hacking processes which a poses a big issue in terms of data damage or theft. The book then highlights the cyber security protection techniques and overall risk assessments to detect and resolve these issues at the beginning stage to minimize data loss or damage. This book is written in a way that it presents the topics in a simplified holistic and pedagogical manner with end-of chapter exercises and examples to cater to undergraduate students, engineers and scientists who will benefit from this approach.
Author: Keshav Kaushik
Publisher: CRC Press
ISBN: 104003859X
Category : Computers
Languages : en
Pages : 366
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Book Description
The book showcases how advanced cybersecurity and forensic techniques can be applied to various computational issues. It further covers the advanced exploitation tools that are used in the domain of ethical hacking and penetration testing. • Focuses on tools used in performing mobile and SIM forensics, static and dynamic memory analysis, and deep web forensics • Covers advanced tools in the domain of data hiding and steganalysis • Discusses the role and application of artificial intelligence and big data in cybersecurity • Elaborates on the use of advanced cybersecurity and forensics techniques in computational issues • Includes numerous open-source tools such as NMAP, Autopsy, and Wireshark used in the domain of digital forensics The text is primarily written for senior undergraduates, graduate students, and academic researchers, in the fields of computer science, electrical engineering, cybersecurity, and forensics.
Author: ElMouatez Billah Karbab
Publisher: Springer Nature
ISBN: 303074664X
Category : Computers
Languages : en
Pages : 212
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Book Description
The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.
Author: Yassine Maleh
Publisher: Springer Nature
ISBN: 303057024X
Category : Computers
Languages : en
Pages : 539
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Book Description
This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.
