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arXiv 2018年

作者： Mousavi, Sajad Afghah, Fatemeh Razi, Abolfazl Acharya, U. Rajendra School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff United States Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore Department of Biomedical Engineering School of Science and Technology Singapore University of Social Sciences Singapore Department of Biomedical Engineering Faculty of Engineering University of Malaya Malaysia

The complexity of the patterns associated with Atrial Fibrillation (AF) and the high level of noise affecting these patterns have significantly limited the current signal processing and shallow machine learning approaches to get accurate AF detection results. Deep neural networks have shown to be very powerful to learn the non-linear patterns in the data. While a deep learning approach attempts to learn complex pattern related to the presence of AF in the ECG, they can benefit from knowing which parts of the signal is more important to focus during learning. In this paper, we introduce a two-channel deep neural network to more accurately detect AF presented in the ECG signal. The first channel takes in a preprocessed ECG signal and automatically learns where to attend for detection of AF. The second channel simultaneously takes in the preprocessed ECG signal to consider all features of entire signals. The model shows via visualization that what parts of the given ECG signal are important to attend while trying to detect atrial fibrillation. In addition, this combination significantly improves the performance of the atrial fibrillation detection (achieved a sensitivity of 99.53%, specificity of 99.26% and accuracy of 99.40% on the MIT-BIH atrial fibrillation database with 5-s ECG segments.) 1. Copyright © 2018, The Authors. All rights reserved.

关键词： Diseases

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Evolving Bent Quaternary Functions

Evolving Bent Quaternary Functions

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Congress on Evolutionary Computation

作者： Stjepan Picek Karlo Knezevic Luca Mariot Domagoj Jakobovic Alberto Leporati Cyber Security Research Group Delft University of Technology Delft The Netherlands Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Department of Informatics Systems and Communication Università degli Studi di Milano-Bicocca Milano Italy

Boolean functions have a prominent role in many real-world applications, which makes them a very active research domain. Throughout the years, various heuristic techniques proved to be an attractive choice for the construction of Boolean functions with different properties. One of the most important properties is nonlinearity, and in particular maximally nonlinear Boolean functions are also called bent functions. In this paper, instead of considering Boolean functions, we experiment with quaternary functions. The corresponding problem is much more difficult and presents an interesting benchmark as well as realworld applications. The results we obtain show that evolutionary metaheuristics, especially genetic programming, succeed in finding quaternary functions with the desired properties. The obtained results in the quaternary domain can also be translated into the binary domain, in which case this approach compares favorably with the state-of-the-art in Boolean optimization. Our techniques are able to find quaternary bent functions for up to 8 inputs, which corresponds to obtaining Boolean bent functions of 16 inputs.

关键词： Evolutionary computation

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Reachable Sets of Hidden CPS Sensor Attacks: Analysis and Synthesis Tools

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IFAC-PapersOnLine 2017年第1期50卷 2088-2094页

作者： Murguia C. Wouw N.V.D. Ruths J. Singapore University of Technology and Design Center for Research in Cyber Security (iTrust) Singapore Eindhoven University of Technology Mechanical Engineering Department Delft Center for Systems and Control Delft University of Technology Department of Civil Environmental and Geo-Engineering University of Minnesota Eindhoven Delft Minneapolis Netherlands University of Texas at Dallas Departments of Mechanical and Systems Engineering United States

For given system dynamics, control structure, and fault/attack detection procedure, we provide mathematical tools–in terms of Linear Matrix Inequalities (LMIs)–for characterizing and minimizing the set of states that sensor attacks can induce in the system while keeping the alarm rate of the fault detector sufficiently close to its false alarm rate in the attack-free case. This quantifies the attack's potential impact when it is constrained to stay hidden from the detector. Simulation results are presented to illustrate the performance of our tools. © 2017

关键词： cyber physical systems model-based fault detectors reachable sets security stochastic systems

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StegTab: Steganography in guitar tablatures

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Journal of Information Hiding and Multimedia Signal Processing 2018年第4期9卷 904-917页

作者： Zhu, Zhaohua Tian, Hui Chang, Chin-Chen Chen, Yonghong Wang, Tian Cai, Yiqiao College of Computer Science and Technology National Huaqiao University XiamenFujian361021 China Shanghai Key Laboratory of Integrated Administration Technologies for Information Security Shanghai200240 China Department of Information Engineering and Computer Science Feng Chia University Taichung40724 Taiwan

Steganography based on musical notation is a branch of music-based information hiding, which has good steganographic transparency. However, the existing steganographic methods would inevitably reduce the quality of music scores for concealing secret messages. Thus, in this paper, we present four practical strategies for hiding information in different part of guitar tablatures, which can maintain the good quality of music scores and achieve excellent steganographic transparency. Specifically, the first one conceals the secret message into common guitar chord variations;the second and third ones embed the secret message in the fingerings for both hands;the last one hides the secret message into numeric symbols of numbered musical notation. Furthermore, we design an embedding strategy to determine cover positions dynamically in original guitar tablatures to further strengthen the steganographic security. We evaluate our scheme through theoretical analysis and comprehensive experiments. The results demonstrate that our scheme can achieve excellent security (providing huge key space for embedding security and inducing little distortion for embedding transparency) and good embedding capacity (i.e., 10-16 bits/measure). © 2018, Ubiquitous International. All rights reserved.

关键词： Music

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Relation networks for optic disc and fovea localization in retinal images

arXiv

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arXiv 2018年

作者： Babu, Sudharshan Chandra Maiya, Shishira R. Elango, Sivasankar Department of Computer Science Indian Institute of Technology Bombay MumbaiMaharashtra400076 India Robert Bosch Center for Cyber Physical Systems Indian Institute of Science BangaloreKarnataka560054 India Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli TiruchirappalliTamil Nadu620015 India

Diabetic Retinopathy is the leading cause of blindness in the world. At least 90% of new cases can be reduced with proper treatment and monitoring of the eyes. However, scanning the entire population of patients is a difficult endeavor. computer-aided diagnosis tools in retinal image analysis can make the process scalable and efficient. In this work, we focus on the problem of localizing the centers of the Optic disc and Fovea, a task crucial to the analysis of retinal scans. Current systems recognize the Optic disc and Fovea individually, without exploiting their relations during learning. We propose a novel approach to localizing the centers of the Optic disc and Fovea by simultaneously processing them and modelling their relative geometry and appearance. We show that our approach improves localization and recognition by incorporating object-object relations efficiently, and achieves highly competitive results. Copyright © 2018, The Authors. All rights reserved.

关键词： Eye protection

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Persistent fault analysis on block ciphers

IACR Transactions on Cryptographic Hardware and Embedded Sys...

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IACR Transactions on Cryptographic Hardware and Embedded Systems 2018年第3期2018卷 150-172页

作者： Zhang, Fan Lou, Xiaoxuan Zhao, Xinjie Bhasin, Shivam He, Wei Ding, Ruyi Qureshi, Samiya Ren, Kui College of Information Science and Electronic Engineering Zhejiang University China Institute of Cyber Security Research Zhejiang University China College of Computer Science and Technology Zhejiang University China The Institute of North Electronic Equipment China Nanyang Technological University Singapore Shield Laboratory Huawei International Pte. Ltd Singapore Georgia Institute of Technology GA United States

Persistence is an intrinsic nature for many errors yet has not been caught enough attractions for years. In this paper, the feature of persistence is applied to fault attacks, and the persistent fault attack is proposed. Different from traditional fault attacks, adversaries can prepare the fault injection stage before the encryption stage, which relaxes the constraint of the tight-coupled time synchronization. The persistent fault analysis (PFA) is elaborated on different implementations of AES-128, specially fault hardened implementations based on Dual Modular Redundancy (DMR). Our experimental results show that PFA is quite simple and efficient in breaking these typical implementations. To show the feasibility and practicability of our attack, a case study is illustrated on the shared library Libgcrypt with rowhammer technique. Approximately 8200 ciphertexts are enough to extract the master key of AES-128 when PFA is applied to Libgcrypt1.6.3 with redundant encryption based DMR. This work puts forward a new direction of fault attacks and can be extended to attack other implementations under more interesting scenarios. © 2018, Ruhr-University of Bochum. All rights reserved.

关键词： Side channel attack

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Political corporate governance of ICT: Essential for national service delivery and security 16

Political corporate governance of ICT: Essential for nationa...

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16th European Conference on cyber Warfare and security, ECCWS 2017

作者： Van Der Walt, Tersia Von Solms, Sebastiaan Centre for Cyber Security Academy for Computer Science and Software Engineering University of Johannesburg South Africa Government Chief Information Office Department of Public Service and Administration South African Government South Africa

ISBN: (纸本)9781911218432

In any developing country, delivering of proper services to the people of the country, on a national level by the incumbent Government, is crucial to the social and economic development and stability and security of the country. A sound ICT system is essential to achieve this. This PhD project investigated the Political Corporate Governance of ICT (PCGICT) in South Africa (SA) and identified how the lack of such political governance and accountability for ICT is core to the problems with service delivery, fraud and corruption in SA. The identified weaknesses of the present system of PCGICT and the relation with bad service delivery was informed by several strategic reports and audits, amongst others by the Auditor-General of SA (AGSA). Using international best practices for ICT, some strategic planning documents created by the Government itself and the identified weaknesses as drivers, a new model and structure for PCGICT in SA was created. It was shown how the new structure, which consolidated many dysfunctional and disjoint existing ICT governance mechanisms into a sound structure with clear accountabilities, addressed most, if not all of the problems identified by the AGSA. The proposed model is also much more in line with the outcomes of Government plans over many years, which were never implemented. The proposed model clearly highlights the importance for Political Corporate Governance of ICT in a developing country to really leverage the benefits of ICT for the country as a *** core component of the proposed model, which was escalated right up to the highest level of Government, is the accountability from the highest level of the political structures for Information and cyber security (ICSec). In the proposed model, accountability for ICSec was consolidated and escalated right to the top of the Government structure. This ensures that national security of the country will surely be improved and will therefore realise strategic benefits for SA.

关键词： Developing countries

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Managing IoT-Based Smart Healthcare Systems Traffic with Software Defined Networks

Managing IoT-Based Smart Healthcare Systems Traffic with Sof...

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International Symposium on Networks, computers and Communications (ISNCC)

作者： Farag Sallabi Faisal Naeem Mamoun Awad Khaled Shuaib Department of Computer and Network Engineering United Arab Emirates University Al Ain UAE Department of Computing and Technology Abasyn University Peshawar Pakistan Department of Computer Science and Software Engineering United Arab Emirates University Al Ain UAE Department of Information Systems and Security United Arab Emirates University Al Ain UAE

Internet of things (IoT) aims to connect billions of devices to the Internet. These devices generate an enormous amount of traffic. A Wireless Body Area Network (WBAN) aggregates the data generated from the body sensors deployed on the human body or inside it. Due to resource constraints of the deployed sensors, aggregated data is forwarded to a server at an edge node or a cloud for further processing and decision making. With the wide acceptance of IoT deployments, WBANs can also be integrated with IoT to provide a clear contextual environment for smart healthcare applications' users. Software Defined Networks (SDN) is a new networking paradigm providing centralized control and programmability of the networks. These features of SDN open new vistas for WBAN and IoT applications. In this paper, a personal digital assistant (PDA) is configured as an SDN switch, and we emulate the SDN functionality with Mininet to verify that this approach can be used in WBANs with minimum deployment complexity and network overhead, while efficiently manage the connected devices and the connections between them.

关键词： Sensors Wireless communication Body area networks Handheld computers Protocols Wireless sensor networks Medical services

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An Efficient Encryption Scheme with Verifiable Outsourced Decryption in Mobile Cloud Computing

arXiv

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arXiv 2018年

作者： Li, Jing Guan, Zhitao Du, Xiaojiang Zhang, Zijian Wu, Jun School of Control and Computer Engineering North China Electric Power University China Department of Computer and Information Science Temple University PhiladelphiaPA United States School of Computer Beijing Institute of Technology Beijing China College of Information Security Engineering Shanghai Jiao Tong University Shanghai China

With the increasing number of mobile applications and the popularity of cloud computing, the combination of these two techniques that named mobile cloud computing (MCC) attracts great attention in recent years. A promising public key encryption scheme, Attribute-Based Encryption (ABE), especially the Ciphertext Policy Attribute-Based Encryption (CP-ABE), has been used for realizing fine-grained access control on encrypted data stored in MCC. However, the computational overhead of encryption and decryption grow with the complexity of the access policy. Thus, maintaining data security as well as efficiency of data processing in MCC are important and challenging issues. In this paper, we propose an efficient encryption method based on CP-ABE, which can lower the overhead on data owners. To further reduce the decryption overhead on data receivers, we additionally propose a verifiable outsourced decryption scheme. By security analysis and performance evaluation, the proposed scheme is proved to be secure as well as efficient. Copyright © 2018, The Authors. All rights reserved.

关键词： Public key cryptography

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Matrix Factorization Recommendation Algorithm Based on User Characteristics

Matrix Factorization Recommendation Algorithm Based on User ...

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Hongtao Liu Ouyang Mao Chen Long Xueyan Liu Zhenjia Zhu School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China School of cyber Security and Information Law Chongqing University of Posts and Telecommunications Chongqing China School of Economics and Management Chongqing University of Posts and Telecommunications Chongqing China School of Software Engineering Shenzhen Institute of Information Technology Shenzhen China

ISBN: (纸本)9781728104423;9781728104416

Matrix Factorization is a popular and successful method. It is already a common model method for collaborative filtering in recommendation systems. As most of the scoring matrix is sparse and the dimensions are increasing rapidly, the prediction accuracy and calculation time of the current matrix decomposition are limited. In this paper, a matrix decomposition model based on user characteristics is proposed, which can effectively improve the accuracy of predictive scoring and reduce the number of iterations. By testing the actual data and comparing it with the existing recommendation algorithm, the experimental results show that the method proposed in this paper can predict user's score well.

关键词： Matrix decomposition Prediction algorithms Collaboration Filtering Optimization Mathematical model Telecommunications

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