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Synthesis Lectures on Artificial Intelligence and Machine Learning 2018年第3期12卷 1-169页

作者： Vorobeychik, Yevgeniy Kantarcioglu, Murat Vanderbilt University Department of Computer Science Computer Engineering and Biomedical Informatics United States UTD Data Security and Privacy Lab. University of Texas Dallas United States

ISBN: (纸本)9781681733951

The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning into a major tool employed across a broad array of tasks including vision, language, finance, and security. However, success has been accompanied with important new challenges: many applications of machine learning are adversarial in nature. Some are adversarial because they are safety critical, such as autonomous driving. An adversary in these applications can be a malicious party aimed at causing congestion or accidents, or may even model unusual situations that expose vulnerabilities in the prediction engine. Other applications are adversarial because their task and/or the data they use are. For example, an important class of problems in security involves detection, such as malware, spam, and intrusion detection. The use of machine learning for detecting malicious entities creates an incentive among adversaries to evade detection by changing their behavior or the content of malicius objects they develop. The field of adversarial machine learning has emerged to study vulnerabilities of machine learning approaches in adversarial settings and to develop techniques to make learning robust to adversarial manipulation. This book provides a technical overview of this field. After reviewing machine learning concepts and approaches, as well as common use cases of these in adversarial settings, we present a general categorization of attacks on machine learning. We then address two major categories of attacks and associated defenses: decision-time attacks, in which an adversary changes the nature of instances seen by a learned model at the time of prediction in order to cause errors, and poisoning or training time attacks, in which the actual training dataset is maliciously modified. In our final chapter devoted to technical content, we discuss recent techniques for attacks on deep learning, as well as approaches for

关键词： Game theory

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Practical privacy for value-added applications in vehicular ad hoc networks 5th

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5th International Conference on Internet and Distributed Computing Systems, IDCS 2012

作者： Zhang, Lei Wu, Qianhong Qin, Bo Domingo-Ferrer, Josep Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China UNESCO Chair in Data Privacy Dept. of Comp. Eng. and Maths Universitat Rovira i Virgili TarragonaCatalonia Spain Key Lab. of Aerospace Information Security and Trusted Computing Ministry of Education Wuhan University School of Computer China Department of Maths School of Science Xi’an University of Technology China

ISBN: (纸本)9783642348822

Advances in mobile networking and information processing technologies have triggered vehicular ad hoc networks (VANETs) for traffic safety and value-added applications. Most efforts have been made to address the security concerns while little work has been done to investigate security and privacy for value-added applications in VANETs. To fill this gap, we propose a value-added application, specifically, a security and privacy preserving location-based service (LBS) scheme for VANETs. For each LBS transaction, the scheme provides authentication, integrity and non-repudiation for both the service provider and the user. A user can obtain the service in an anonymous way and hence user privacy is well protected. However, a tracing procedure can be invoked to find malicious users, thereby efficiently preventing users from abusing the anonymity provided by the system. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Location based services

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Hierarchical certificateless signatures

Hierarchical certificateless signatures

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International Workshop on Wireless Network Algorithm and Theory

作者： Zhang, Lei Wu, Qianhong Domingo-Ferrer, Josep Qin, Bo UNESCO in Data Privacy Department of Computer Engineering and Mathematics Universitat Rovira i Virgili Catalonia Spain Wuhan University School of Computer Key Lab. of Aerospace Information Security and Trusted Computing China Xi'an University of Technology School of Science Department of Maths China

ISBN: (纸本)9780769543222

Certificateless cryptography eliminates the key escrow problem in identity-based cryptography. Hierarchical cryptography exploits a practical security model to mirror the organizational hierarchy in the real world. In this paper, to incorporate the advantages of both types of cryptosystems, we instantiate hierarchical certificateless cryptography by formalizing the notion of hierarchical certificateless signatures. Furthermore, we propose an HCLS scheme which, under the hardness of the computational Diffie-Hellman (CDH) problem, is proven to be existentially unforgeable against adaptive chosen-message attacks in the random oracle model. As to efficiency, our scheme has constant complexity, regardless of the depth of the hierarchy. Hence, the proposal is secure and scalab.e for practical applications. © 2010 IEEE.

关键词： Network security

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Asymmetric group key agreement

Asymmetric group key agreement

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28th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2009

作者： Qianhong, Wu Yi, Mu Susilo, Willy Bo, Qin Domingo-Ferrer, Josep Universitat Rovira i Virgili Dept. of Comp. Eng. and Maths UNESCO Department of Data Privacy Tarragona Catalonia Spain Key Lab. of Aerospace Information Security and Trusted Computing School of Computer Wuhan University China Centre for Computer and Information Security Research School of Computer Science and Software Engineering University of Wollongong Australia Dept. of Maths School of Science Xi'an University of Technology China

ISBN: (纸本)3642010008

A group key agreement (GKA) protocol allows a set of users to establish a common secret via open networks. Observing that a major goal of GKAs for most applications is to establish a confiDential channel among group members, we revisit the group key agreement definition and distinguish the conventional (symmetric) group key agreement from asymmetric group key agreement (ASGKA) protocols. Instead of a common secret key, only a shared encryption key is negotiated in an ASGKA protocol. This encryption key is accessible to attackers and corresponds to different decryption keys, each of which is only computable by one group member. We propose a generic construction of one-round ASGKAs based on a new primitive referred to as aggregatable signaturebased broadcast (ASBB), in which the public key can be simultaneously used to verify signatures and encrypt messages while any signature can be used to decrypt ciphertexts under this public key. Using bilinear pairings, we realize an efficient ASBB scheme equippe d with useful properties. Following the generic construction, we instantiate a one-round ASGKA protocol tightly reduced to the decision Bilinear Diffie-Hellman Exponentiation (BDHE) assumption in the standard model. © International Association for Cryptologic Research 2009.

关键词： Public key cryptography

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