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This book constitutes the refereed proceedings of the 18th European Symposium on Computer Security, ESORICS 2013, held in Egham, UK, in September 2013. The 43 papers included in the book were carefully reviewed and selected from 242 papers. The aim of ESORICS is to further the progress of research in computer security by establishing a European forum for bringing together researchers in this area, by promoting the exchange of ideas with system developers and by encouraging links with researchers in related areas. The papers cover all topics related to security, privacy and trust in computer systems and networks.
The two-volume set, LNCS 9326 and LNCS 9327 constitutes the refereed proceedings of the 20th European Symposium on Research in Computer Security, ESORICS 2015, held in Vienna, Austria, in September 2015. The 59 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers address issues such as networks and Web security; system security; crypto application and attacks; risk analysis; privacy; cloud security; protocols and attribute-based encryption; code analysis and side-channels; detection and monitoring; authentication; policies; and applied security.
The two volume set, LNCS 12308 + 12309, constitutes the proceedings of the 25th European Symposium on Research in Computer Security, ESORICS 2020, which was held in September 2020. The conference was planned to take place in Guildford, UK. Due to the COVID-19 pandemic, the conference changed to an online format. The total of 72 full papers included in these proceedings was carefully reviewed and selected from 366 submissions. The papers were organized in topical sections named: database and Web security; system security; network security; software security; machine learning security; privacy; formal modelling; applied cryptography; analyzing attacks; post-quantum cryptogrphy; security analysis; and blockchain.
The two-volume set, LNCS 9878 and 9879 constitutes the refereed proceedings of the 21st European Symposium on Research in Computer Security, ESORICS 2016, held in Heraklion, Greece, in September 2016. The 60 revised full papers presented were carefully reviewed and selected from 285 submissions. The papers cover a wide range of topics in security and privacy, including data protection: systems security, network security, access control, authentication, and security in such emerging areas as cloud computing, cyber-physical systems, and the Internet of Things.
The two volume set, LNCS 11735 and 11736, constitutes the proceedings of the 24th European Symposium on Research in Computer Security, ESORIC 2019, held in Luxembourg, in September 2019. The total of 67 full papers included in these proceedings was carefully reviewed and selected from 344 submissions. The papers were organized in topical sections named as follows: Part I: machine learning; information leakage; signatures and re-encryption; side channels; formal modelling and verification; attacks; secure protocols; useful tools; blockchain and smart contracts. Part II: software security; cryptographic protocols; security models; searchable encryption; privacy; key exchange protocols; and web security.
The two-volume set, LNCS 8712 and LNCS 8713 constitutes the refereed proceedings of the 19th European Symposium on Research in Computer Security, ESORICS 2014, held in Wroclaw, Poland, in September 2014 The 58 revised full papers presented were carefully reviewed and selected from 234 submissions. The papers address issues such as cryptography, formal methods and theory of security, security services, intrusion/anomaly detection and malware mitigation, security in hardware, systems security, network security, database and storage security, software and application security, human and societal aspects of security and privacy.
The two-volume set, LNCS 10492 and LNCS 10493 constitutes the refereed proceedings of the 22nd European Symposium on Research in Computer Security, ESORICS 2017, held in Oslo, Norway, in September 2017. The 54 revised full papers presented were carefully reviewed and selected from 338 submissions. The papers address issues such as data protection; security protocols; systems; web and network security; privacy; threat modeling and detection; information flow; and security in emerging applications such as cryptocurrencies, the Internet of Things and automotive.
The four-volume set LNCS 14344-14347 constitutes the refereed proceedings of the 28th European Symposium on Research in Computer Security, ESORICS 2023, which took place in The Hague, The Netherlands, during September 25-29, 2023. The 93 full papers presented in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: Part I: Crypto. Part II: Network, web and internet; privacy; and remote. Part III: Attacks; blockchain; and miscellaneous. Part IV: Machine learning; software and systems security.
The two volume set LNCS 12972 + 12973 constitutes the proceedings of the 26th European Symposium on Research in Computer Security, ESORICS 2021, which took place during October 4-8, 2021. The 71 full papers presented in this book were carefully reviewed and selected from 351 submissions. They were organized in topical sections as follows: Part I: network security; attacks; fuzzing; malware; user behavior and underground economy; blockchain; machine learning; automotive; anomaly detection; Part II: encryption; cryptography; privacy; differential privacy; zero knowledge; key exchange; multi-party computation.
This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements. The book starts with a self-contained introduction to artificial neural networks, deep learning models, supervised learning algorithms, evolutionary algorithms, and evolutionary learning. Concise information is then presented on multi-party secure computation, differential privacy, and homomorphic encryption, followed by a detailed description of federated learning. In turn, the book addresses the latest advances in federate learning research, especially from the perspectives of communication efficiency, evolutionary learning, and privacy preservation. The book is particularly well suited for graduate students, academic researchers, and industrial practitioners in the field of machine learning and artificial intelligence. It can also be used as a self-learning resource for readers with a science or engineering background, or as a reference text for graduate courses.