Mourad Debbabi – författare

Java brings more functionality and versatility to the world of mobile devices, but it also introduces new security threats.

This book is a comprehensive presentation of embedded Java security. It is compared with the security model of the Java 2 Standard Edition in order to view the impact of limited resources on security. The main components of embedded Java are also generally presented to give an idea about the platform architecture. To assess the effectiveness of the security model, an evaluation of the security features is carried out with results presented in the framework of the MEHARI method for risk analysis, and the Common Criteria methodology of security evaluation. The usefulness of this security evaluation is to point out areas that need security hardening.

This book provides researchers and practitioners alike with a broader and deeper understanding of the issues involved in embedded Java security, and –as a larger view- mobile devices security.

This book constitutes the revised selected papers of the 11th International Symposium on Foundations and Practice of Security, FPS 2018, held in Montreal, QC, Canada, in March 2018. The 16 full papers, 1 short paper, 1 position paper and 2 invited papers presented in this book, were carefully reviewed and selected from 51 submissions. They cover a range of topics including mobile security; cloud security and big data; IoT security; software security, malware analysis, and vulnerability detection; cryptography; cyber physical security and hardware security; and access control.

The book first explores the cybersecurity’s landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes.

Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potentialsuspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals.

Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law. 

This two-volume LNICST 567-568 set constitutes the post-conference proceedings of the 19th International Conference on Security and Privacy in Communication Networks, SecureComm 2023, held in October 2023 in Hong Kong, China.

The 52 papers were carefully reviewed and selected from 180 submissions. The papers presented in these two volumes are clustered into various thematical issues as follows:  

Part I: AI for Security; Authentication; Blockchain and Distributed System Security; Cryptography; Data Security.

Part II: Intrusion and Anomaly Detection; IoT Security; Network Security; Privacy; Program Analysis; Software Security.

This two-volume LNICST 567-568 set constitutes the post-conference proceedings of the 19th International Conference on Security and Privacy in Communication Networks, SecureComm 2023, held in October 2023 in Hong Kong, China.

The 52 papers were carefully reviewed and selected from 180 submissions. The papers presented in these two volumes are clustered into various thematical issues as follows:  

Part I: AI for Security; Authentication; Blockchain and Distributed System Security; Cryptography; Data Security.

Part II: Intrusion and Anomaly Detection; IoT Security; Network Security; Privacy; Program Analysis; Software Security.

This book comprehensively presents a novel approach to the systematic security hardening of software design models expressed in the standard UML language. It combines model-driven engineering and the aspect-oriented paradigm to integrate security practices into the early phases of the software development process. To this end, a UML profile has been developed for the specification of security hardening aspects on UML diagrams. In addition, a weaving framework, with the underlying theoretical foundations, has been designed for the systematic injection of security aspects into UML models.

The work is organized as follows: chapter 1 presents an introduction to software security, model-driven engineering, UML and aspect-oriented technologies. Chapters 2 and 3 provide an overview of UML language and the main concepts of aspect-oriented modeling (AOM) respectively. Chapter 4 explores the area of model-driven architecture with a focus on model transformations. The main approaches that are adopted in the literature for security specification and hardening are presented in chapter 5. After these more general presentations, chapter 6 introduces the AOM profile for security aspects specification. Afterwards, chapter 7 details the design and the implementation of the security weaving framework, including several real-life case studies to illustrate its applicability. Chapter 8 elaborates an operational semantics for the matching/weaving processes in activity diagrams, while chapters 9 and 10 present a denotational semantics for aspect matching and weaving in executable models following a continuation-passing style. Finally, a summary and evaluation of the work presented are provided in chapter 11.