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arXiv 2018年

作者： Wei, Peng Xiao, Yue Dan, Lilin Lv, Shichao Xiang, Wei Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China Tianjin Key Laboratory of Photoelectric Detection Technology and System The School of Electronics and Information Engineering Tiangong University Tianjin300387 China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu China School of Cyber Security University of Chinese Academy of Sciences Beijing100049 China Beijing Key Laboratory of IoT Information Security Technology Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China College of Science and Engineering James Cook University CairnsQLD4878 Australia

The low-interference N-continuous orthogonal frequency division multiplexing (NC-OFDM) system [25], [26] is investigated in terms of power spectrum density (PSD) and bit error rate (BER), to prove and quantify its advantages over traditional NC-OFDM. The PSD and BER performances of the low-interference scheme are analyzed and compared under the parameters of the highest derivative order (HDO) and the length of the smooth signal. In the context of PSD, different from one discontinuous point per NC-OFDM symbol in [25], the sidelobe suppression performance is evaluated upon considering two discontinuous points due to the finite continuity of the smooth signal and its higher-order derivatives. It was shown that with an increased HDO and an increased length of the smooth signal, a more rapid sidelobe decaying is achieved, for the significant continuity improvement of the OFDM signal and its higher-order derivatives. However, our PSD analysis also shows that if the length of the smooth signal is set inappropriately, the performance may be degraded, even if the HDO is large. Furthermore, it was shown in the error performance analysis that under the assumptions of perfect and imperfect synchronization, the low-interference scheme incurs small BER performance degradation for a short length of the smooth signal or a small HDO as opposed to conventional NC-OFDM. Based on analysis and simulation results, the trade-offs between sidelobe suppression and BER are studied with the above two parameters. Copyright © 2018, The Authors. All rights reserved.

关键词： Bit error rate

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Lightweight classification of IoT malware based on image recognition

arXiv

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arXiv 2018年

作者： Su, Jiawei Vargas, Danilo Vasconcellos Prasad, Sanjiva Sgandurra, Daniele Feng, Yaokai Sakurai, Kouichi School of Information Science and Electrical Engineering Kyushu University Japan Faculty of Information Science and Electrical Engineering Kyushu University Japan Department of Computer Science and Engineering Indian Institute of Technology Delhi India ISG Smart Card and IoT Security Centre Royal Holloway University of London United Kingdom

The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very large number of smart devices, such as home appliances, network cameras, sensors and controllers to connect to one another to share information and improve user experiences. Current IoT devices are typically micro-computers for domain-specific computations rather than traditional functionspecific embedded devices. Therefore, many existing attacks, targeted at traditional computers connected to the Internet, may also be directed at IoT devices. For example, DDoS attacks have become very common in IoT environments, as these environments currently lack basic security monitoring and protection mechanisms, as shown by the recent Mirai and Brickerbot IoT botnets. In this paper, we propose a novel light-weight approach for detecting DDos malware in IoT environments. We firstly extract one-channel gray-scale images converted from binaries, and then utilize a lightweight convolutional neural network for classifying IoT malware families. The experimental results show that the proposed system can achieve 94.0% accuracy for the classification of goodware and DDoS malware, and 81.8% accuracy for the classification of goodware and two main malware families. Copyright © 2018, The Authors. All rights reserved.

关键词： Internet of things

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Random directions stochastic approximation with deterministic perturbations

arXiv

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arXiv 2018年

作者： Prashanth, L.A. Bhatnagar, Shalabh Bhavsar, Nirav Fu, Michael Marcus, Steven I. Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai India Department of Computer Science and Automation Robert Bosch Centre for Cyber Physical Systems Indian Institute of Science Bangalore Bangalore India Robert H. Smith School of Business Institute for Systems Research University of Maryland College ParkMD United States Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College ParkMD United States

We introduce deterministic perturbation schemes for the recently proposed randomdirections stochastic approximation (RDSA) [19], and propose new first-order and second-order algorithms. In the latter case, these are the first second-order algorithms to incorporate deterministic perturbations. We show that the gradient and/or Hessian estimates in the resulting algorithms with deterministic perturbations are asymptotically unbiased, so that the algorithms are provably convergent. Furthermore, we derive convergence rates to establish the superiority of the first-order and second-order algorithms, for the special case of a convex and quadratic optimization problem, respectively. Numerical experiments are used to validate the theoretical results. Copyright © 2018, The Authors. All rights reserved.

关键词： Approximation theory

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On the importance of standardising the process of generating digital forensic reports

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Forensic Science International: Reports 2019年 1卷 100008-100008页

作者： Karie, Nickson. M. Kebande, Victor R. Venter, H.S. Choo, Kim-Kwang Raymond Department of Computer Science University of Swaziland Kwaluseni Swaziland IoTaP Research Center Department of Computer Science and Media Technology Malmo University Nordenskiöldsgatan 1 211 19 Malmö Sweden Department of Computer Science University of Pretoria Private Bag X20 Hatfield 0028 Pretoria South Africa Department of Information Systems and Cyber Security University of Texas at San Antonio San Antonio TX 78249-0631 USA

AbstractThe ISO/IEC 27043:2015 international standard provides new standardised guidelines for common investigation processes across various investigation scenarios that mostly involve digital evidence. The reporting process is one of the many investigative processes described in the ISO/IEC 27043:2015 standard, but the manner in which the reporting process is presented does not constitute or cover the specificity of the presentation of the entire processes covered in the standard. In this paper, we posit the importance of having the report generation process covering details obtained from all other classes of the digital investigation processes in a standardised format, as well as the need to standardise the process of generating digital forensic reports. Such a standardised process can facilitate future automation and text analytics, sharing of reports and knowledge across jurisdictions, etc. We also identify a number of key factors, such as the use of Blockchain, which should be added to the ISO/IEC 27043 international standard in order to support a standardised digital forensic report generation process.

关键词： Standardisation Digital forensic report generation digital forensics ISO/IEC 27043:2015 Blockchain

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SMDP-based downlink packet scheduling scheme for solar energy assisted heterogeneous networks

arXiv

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arXiv 2018年

作者： Li, Qizhen Gao, Jie Wen, Jinming Tang, Xiaohu Zhao, Lian Sun, Limin School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China Department of Electrical and Computer Engineering Ryerson University TorontoONM5B 2K3 Canada Department of Electrical and Computer Engineering University of Toronto TorontoONM5S 3G4 Canada Beijing Key Laboratory of IoT Information Security Technology Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China

Renewable energy assisted heterogeneous networks can improve system capacity and reduce conventional energy consumption. In this paper, we propose a semi-Markov decision process (SMDP)-based downlink packet scheduling scheme for solar energy assisted heterogeneous networks (HetNets), where solar radiation is modeled as a continuous-time Markov chain (CTMC) and the arrivals of multi-class downlink packets are modeled as Poisson processes. The proposed downlink packet scheduling scheme can be compatible with the mainstream wireless packet networks such as long-term evolution (LTE) networks and the fifth-generation (5G) networks because the SMDP is a real-time admission control model. To obtain an asymptotically optimal downlink packet scheduling policy, we solve the semi-Markov decision problem using the relative value iteration algorithm under average criterion and the value iteration algorithm under discounted criterion, respectively. The simulation results show that the average cost of the SMDP-based packet scheduling scheme is less than that of the greedy packet scheduling scheme. Copyright © 2018, The Authors. All rights reserved.

关键词： Continuous time systems

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Frequency synchronization for uplink massive MIMO with adaptive MUI suppression in angle-domain

arXiv

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arXiv 2018年

作者： Ge, Yinghao Zhang, Weile Gao, Feifei Li, Geoffrey Ye MOE Key Lab for Intelligent Networks and Network Security School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an Shaanxi710049 China State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Automation Tsinghua University Beijing100084 China Department of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States

In this paper, we develop a novel angle-domain adaptive filtering (ADAF)-based frequency synchronization method for the uplink of a massive multiple-input multiple-output (MIMO) multiuser network, which is applicable for users with either separate or overlapped angle-of-arrival (AoA) regions. For each user, we first introduce the angle-constraining matrix (ACM), which consists of a set of selected match-filter (MF) beamformers pointing to the AoAs of the interested user. Then, the adaptive beamformer can be acquired by appropriately designing the ADAF vectors. Such beamformer can achieve two-stage adaptive multiuser interference (MUI) suppression, i.e., inherently suppressing the MUI from non-overlapping users by ACM in the first stage and substantially mitigating the MUI from adjacent overlapping users by ADAF vector in the second stage. For both separate and mutually overlapping users, the carrier frequency offset (CFO) estimation and subsequent data detection can be performed independently for each user, which significantly reduces computational complexity. Moreover, ADAF is rather robust to imperfect AoA knowledge and side cluster of scatterers, making itself promising for multiuser uplink transmission. We also analyze the performance of CFO estimation and obtain an approximated closed-form expression of mean-squared error (MSE). The effectiveness of the proposed method and its superiority over the existing methods are demonstrated by numerical results. Copyright © 2018, The Authors. All rights reserved.

关键词： Adaptive filters

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Predicting vulnerable software components using software network graph 9th

Predicting vulnerable software components using software net...

引用

9th International Symposium on cyberspace Safety and security, CSS 2017

作者： Wei, Shengjun Du, Xiaojiang Hu, Changzhen Shan, Chun Beijing Key Laboratory of Software Security Engineering Technique Beijing Institute of Technology Beijing100081 China Department of Computer and Information Sciences Temple University PhiladelphiaPA19122 United States

ISBN: (纸本)9783319694702

Vulnerability Prediction Models (VPMs) are used to predict vulnerability-prone modules and now many software security metrics have been proposed. In this paper, we predict vulnerability-prone components. Based on software network graph we define component cohesion and coupling metrics which are used as security metrics to build the VPM. To validate the prediction performance, we conduct an empirical study on Firefox 3.6. We compare the results with other works’, it shows that our model has a good performance in the accuracy, precision, and recall, and indicate that the proposed metrics are also effective in vulnerability prediction. © 2017, Springer International Publishing AG.

关键词： Forecasting

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Information Leakage in Encrypted Deduplication via Frequency Analysis

Information Leakage in Encrypted Deduplication via Frequency...

引用

International Conference on Dependable Systems and Networks (DSN)

作者： Jingwei Li Chuan Qin Patrick P. C. Lee Xiaosong Zhang University of Electronic Science and Technology of China Chengdu CN Department of Computer Science and Engineering The Chinese University of Hong Kong Center for Cyber Security University of Electronic Science and Technology of China

ISBN: (纸本)9781538605431

Encrypted deduplication seamlessly combines encryption and deduplication to simultaneously achieve both data security and storage efficiency. State-of-the-art encrypted deduplication systems mostly adopt a deterministic encryption approach that encrypts each plaintext chunk with a key derived from the content of the chunk itself, so that identical plaintext chunks are always encrypted into identical ciphertext chunks for deduplication. However, such deterministic encryption inherently reveals the underlying frequency distribution of the original plaintext chunks. This allows an adversary to launch frequency analysis against the resulting ciphertext chunks, and ultimately infer the content of the original plaintext chunks. In this paper, we study how frequency analysis practically affects information leakage in encrypted deduplication storage, from both attack and defense perspectives. We first propose a new inference attack that exploits chunk locality to increase the coverage of inferred chunks. We conduct trace-driven evaluation on both real-world and synthetic datasets, and show that the new inference attack can infer a significant fraction of plaintext chunks under backup workloads. To protect against frequency analysis, we borrow the idea of existing performance-driven deduplication approaches and consider an encryption scheme called MinHash encryption, which disturbs the frequency rank of ciphertext chunks by encrypting some identical plaintext chunks into multiple distinct ciphertext chunks. Our trace-driven evaluation shows that MinHash encryption effectively mitigates the inference attack, while maintaining high storage efficiency.

关键词： Encryption Maximum likelihood estimation Time-frequency analysis Data models computer security

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A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy

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Journal of Information security 2017年第4期8卷 328-338页

作者： Zhenpeng Liu Yawei Dong Xuan Zhao Bin Zhang School of Cyber Security and Computer Hebei University Baoding China Center for Information Technology Hebei University Baoding China School of Electronic Information Engineering Hebei University Baoding China

Social network contains the interaction between social members, which constitutes the structure and attribute of social network. The interactive relationship of social network contains a lot of personal privacy information. The direct release of social network data will cause the disclosure of privacy information. Aiming at the dynamic characteristics of social network data release, a new dynamic social network data publishing method based on differential privacy was proposed. This method was consistent with differential privacy. It is named DDPA (Dynamic Differential Privacy Algorithm). DDPA algorithm is an improvement of privacy protection algorithm in static social network data publishing. DDPA adds noise which follows Laplace to network edge weights. DDPA identifies the edge weight information that changes as the number of iterations increases, adding the privacy protection budget. Through experiments on real data sets, the results show that the DDPA algorithm satisfies the user’s privacy requirement in social network. DDPA reduces the execution time brought by iterations and reduces the information loss rate of graph structure.

关键词： Dynamic Social Network Data Publishing Differential Privacy

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Effects of csi knowledge on secrecy of threshold-selection decode-and-forward relaying

arXiv

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arXiv 2018年

作者： Kundu, Chinmoy Ghose, Sarbani Ngatche, Telex M.N. Dobre, Octavia A. Duong, Trung Q. Bose, Ranjan School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast Northern Ireland United Kingdom Cryptology and Security Research Unit Indian Statistical Institute Kolkata700108 India Engineering and Applied Science Memorial University Canada Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi110016 India

—This paper considers secrecy of a three node cooperative wireless system in the presence of a passive eavesdropper. The threshold-selection decode-and-forward (DF) relay is considered, which can decode the source message correctly only if a predefined signal-to-noise ratio (SNR) is achieved. The effects of channel state information (CSI) availability on secrecy outage probability (SOP) and ergodic secrecy rate (ESR) are investigated, and closed-form expressions are derived. Diversity is achieved from the direct and relaying paths both at the destination and at the eavesdropper by combinations of maximal-ratio combining (MRC) and selection combining (SC) schemes. An asymptotic analysis is provided when each hop SNR is the same in the balanced case and when it is different in the unbalanced case. The analysis shows that both hops can be a bottleneck for secure communication;however, they do not affect the secrecy identically. While it is observed that CSI knowledge can improve secrecy, the amount of improvement for SOP is more when the required rate is low and for ESR when the operating SNR is also low. It is also shown that the source to eavesdropper link SNR is more crucial for secure communication. Copyright © 2018, The Authors. All rights reserved.

关键词： Signal to noise ratio

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