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Efficient Adversarial Attacks for Visual Object Tracking 1

16th European Conference on computer Vision, ECCV 2020

作者： Liang, Siyuan Wei, Xingxing Yao, Siyuan Cao, Xiaochun Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen518055 China Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing100191 China

ISBN: (数字)9783030585747

ISBN: (纸本)9783030585730

Visual object tracking is an important task that requires the tracker to find the objects quickly and accurately. The existing state-of-the-art object trackers, i.e., Siamese based trackers, use DNNs to attain high accuracy. However, the robustness of visual tracking models is seldom explored. In this paper, we analyze the weakness of object trackers based on the Siamese network and then extend adversarial examples to visual object tracking. We present an end-to-end network FAN (Fast Attack Network) that uses a novel drift loss combined with the embedded feature loss to attack the Siamese network based trackers. Under a single GPU, FAN is efficient in the training speed and has a strong attack performance. The FAN can generate an adversarial example at 10ms, achieve effective targeted attack (at least 40% drop rate on OTB) and untargeted attack (at least 70% drop rate on OTB). © 2020, Springer Nature Switzerland AG.

关键词： Deep learning

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One-click medicine discovery in real time

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AIP Conference Proceedings 2024年第1期2512卷

作者： Manas Tuteja Naivedya Tiwari Vasim Babu Abirami Vinoth Kumar Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur Chennai India Department of ECE KKR & KSR Institute of Technology and Sciences Guntur India Center for Cyber Forensics and Information Security University of Madras Chennai India

Medical records are a goldmine for Data Analytics companies to gain better insight into patient trends, diseases and customer behavior which can in turn be used to provide greater outpatient care. Most of the data collected for these purposes comes from health records of patients from different hospitals. Although this process covers a substantial amount of data points, it overlooks an important sub-routine of every healthcare record-Medicine Prescription. The aim of the work is to put forward a paper that discusses the possibility of automating the process of getting a medicine i.e. from receiving a doctor’s prescription; to the point of sale/delivery. The prescription data can be stored in proper warehouses to run analytics on and sell the insights to players in the Pharmaceutical, Life sciences and Healthcare sectors.

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Personalized Local Differential Privacy for Multi-dimensional Range Queries over Mobile User Data

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IEEE Transactions on Mobile Computing 2025年

作者： He, Yuanyuan Wang, Meiqi Deng, Xianjun Yang, Peng Xue, Qiao Yang, Laurence T. Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan430074 China Huazhong University of Science and Technology School of Electronic Information and Communications Wuhan430074 China Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing210000 China

Multi-dimensional range queries performed on the mobile user data records become increasingly important and popular in the fields of e-commerce, social media, transportation logistics, etc. Meanwhile, mobile users usually have different privacy requirements for different attributes of the records. A straightforward and effective approach is to first get low-dimensional range query outcomes by using existing LDP mechanisms at different privacy levels, and then derive high-dimensional range query results at each level, and finally aggregate the results from all levels. However, it incurs low utility of the query results, since the non-fixed privacy budgets and the correlation between dimensions (attributes) detrimentally impact the utility of LDP methods, ultimately rendering them ineffective in practice. In this paper, we propose a new Personalized LDP approach for Multi-dimensional Range queries (PLDP-MR) over mobile user data, consisting of the user grouping, data perturbing, data re-perturbing, and range query results aggregating steps. First, PLDP-MR offers flexible dual grouping based on user-selected privacy levels and relevant attributes to obtain the corresponding one-dimensional and two-dimensional grids. PLDP-MR optimizes the grid granularity to minimize errors from perturbing users' attribute data with different LDP noises at non-fixed privacy levels. Furthermore, PLDP-MR carefully re-perturbs the LDP-noisy data from mobile users at lower privacy levels (i.e., having the higher utility) to achieve LDP with higher privacy levels and supplement the data volume of the corresponding groups. Thus, the data utility is effectively improved without additional privacy losses. Finally, PLDP-MR aggregates the frequencies in all the one-dimensional and two-dimensional grids related to the multi-dimensional range query at all query intervals and all privacy levels to derive the final query result with considering the correlation between attributes. The aggregations use

关键词： Data privacy

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security Threats and their Mitigations on the Operating System of Internet of Medical Things (IoMT)

Security Threats and their Mitigations on the Operating Syst...

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International Conference on Mathematics, Actuarial science, computer science and Statistics (MACS)

作者： Taher M. Ghazal Mohammad Kamrul Hasan Ghassan F. Issa Nidal A. Al-Dmour Saif. E. A. Alnawayseh Waleed T. Al-Sit Rashed Aldhaheri School of Information Technology Skyline University College University City Sharjah Sharjah UAE Faculty of Information Science & Technology Universiti Kebansaan Malaysia (UKM) Center for Cyber Security Selangor Malaysia Department of Computer Engineering Mutah University Al-Karak Jordan Department of Electric Engineering Mutah University Karak Jordan Higher Colleges of Technology Dubai United Arab Emirates

ISBN: (纸本)9781665460729

The potential security dangers of IoMT influence the privacy, uprightness, realness and accessibility of its information and the related assets. In spite of the fact that IoMT is engaged with enormous scope administrations provisioning in the clinical worldview; nonetheless, the asset compelled nature of these gadgets makes them powerless against colossal security and protection issues. These weaknesses are lamentable for IoMT as well as compromise the entire medical care environment, which can thusly get human lives risk. The Internet of Medical Things (IoMT) is a mixture of clinical gadgets and applications that can associate with medical care data innovation frameworks utilizing organizing advances. Despite the fact that all gadgets are totally controlled for patient effect, the business has been sub-par in managing dangers of potential online protection dangers in the beyond couple of years. This paper basically aims at providing facts on the security threats and their mitigation to operating system of medical devices, such as identity authentication, cryptography etc.

关键词： Technological innovation Privacy Medical devices Operating systems Organizations Internet of Medical Things Observers

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Expression of Concern for: security Threats and their Mitigations on the Operating System of Internet of Medical Things (IoMT)

Expression of Concern for: Security Threats and their Mitiga...

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International Conference on Mathematics, Actuarial science, computer science and Statistics (MACS)

ISBN: (数字)9781665460712

ISBN: (纸本)9781665460729

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Flush+Time: A High Accuracy and High Resolution Cache Attack On ARM-FPGA Embedded SoC 38

Flush+Time: A High Accuracy and High Resolution Cache Attack...

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38th IEEE VLSI Test Symposium, VTS 2020

作者： Tang, Churan Liu, Pengkun Ma, Cunqing Liu, Zongbin Ge, Jingquan State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Intelligent Software Research Center Institute of Software CAS Beijing China School of Computer and Science University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728153599

Flush based cache attacks have become a practical threat to data privacy and information security due to their advantages such as high accuracy and resolution. However, their accuracy and resolution still has room for improvement. In addition, although most of the attacks have been demonstrated on x86 processors, few of them have been executed on ARM devices. We propose a high accuracy, high resolution flush based cache attack, Flush+Time. This technique solves two important challenges for cache attacks on ARM: how to flush cache lines and how to achieve precise timing. Experiments show that Flush+Time increases accuracy from 95.1% of Flush+Reload, the most powerful general cache attack so far, to 99.3%. Flush+Time has a 30.5% higher resolution than Flush+Reload, but its execution time is only 0.59 times that of Spectre. © 2020 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Securing the Private Key in Your Blockchain Wallet: A Continuous Authentication Approach Based on Behavioral Biometric

Securing the Private Key in Your Blockchain Wallet: A Contin...

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作者： Teng Hu Xiaolei Liu Weina Niu Kangyi Ding Yanping Wang Xiaosong Zhang Institute for Cyber Security School of Computer Science and EngineeringUniversity of Electronic Science and Technology of China Institute of Computer Application China Academy of Engineering Physics Peng Cheng Laboratory Cyberspace Security Research Center

As blockchain is increasingly valued, the application of blockchain and its security has become a research hotspot. Not only that, more and more ordinary users are paying attention to the blockchain and beginning to trade commodities in cryptocurrencies. The blockchain wallet is a program for users to manage and stores their private keys. Furthermore, the private key is the user's unique credential to the cryptocurrency in the blockchain. But for now, blockchain wallets are only using passwords to authenticate users, which poses a potential risk to private key security. To mitigate this risk, this paper proposes a continuous authentication approach based on user mouse behavioral biometrics. The approach was experimentally shown to be able to authenticate once per second with an average FAR and FRR of 6.92% and 6.18%, respectively.

关键词： A Continuous Authentication Approach Based on Behavioral Biometric Securing the Private Key in Your Blockchain Wallet Key

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Wavelet Frequency Transformation for Specific Weeds Recognition

Wavelet Frequency Transformation for Specific Weeds Recognit...

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Artificial Intelligence and Data Analytics (CAIDA), International Conference on

作者： Shaban Habib Ishrat Khan Muhammad Islam Waleed Albattah Saleh Mohammed Alyahya Sheroz Khan Mohammad Kamrul Hassan College of Computer Qassim University Buraydah Saudi Arabia College of Computer and Inofrmation Science Prince Sultan University Riyadh Saudi Arabia College of Engineering and Information Technology Onaizah Colleges Saudi Arabia Center for Cyber Security Universiti Kebangsaan Malaysia Bangi Malaysia

ISBN: (纸本)9781665430418

Saudi Arabia is experiencing depleting water level which ultimately leading to having reduced level of weed and crops farms. The ongoing practice of watering for all kind of weeds at farms is manual which is laborious and slow besides waste of unregulated use of water. Therefore, there arises the need of automated water control, making the automated watering system as the viable option for precision weed control system. This paper has presented the development of real-time automated water sprinkle system for the target weeding area. The technique of wavelet frequency is developed as a software interface using MATLAB program detecting need of water sprinkling from the pictures of the leaves obtained. Software-based results are applied to hardware for real-time grass detection and classification based on shape and density due to reason that the leaves may be wide open, shrunk and leaves those with curved in features. The real-time system is capable of thus deciding the proportionate amount of water needed to be sprinkled over the weeds using a purposely developed hardware system. The system can detect areas where more, more or less water is needed, through a high-accuracy connected camera.

关键词： Wavelet transforms Software algorithms Feature extraction Cameras Real-time systems Software Hardware

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CEPS: A Cross-Blockchain based Electronic Health Records Privacy-Preserving Scheme

CEPS: A Cross-Blockchain based Electronic Health Records Pri...

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IEEE International Conference on Communications (ICC)

作者： Sheng Cao Jing Wang Xiaojiang Du Xiaosong Zhang Xiaolin Qin School of Computer Science and Engineering Center for Cyber Security University of Electronic Science and Technology of China China School of Information and Software Engineering Center for Cyber Security University of Electronic Science and Technology of China China Department of Computer and Information Sciences Temple University Philadelphia USA CAS Chengdu Institute of Computer Applications Chengdu China

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

The Electronic Health Record (EHR) has been widely used in cloud-based medical data platforms. Since the owner of the EHR is a patient and the manager is a doctor (or hospital), this separation of ownership of privacy data leads to privacy leakages of the EHR stored in the cloud environment. The tamper-proof and traceable features of the blockchain make it a promising way to solve EHR privacy protection issues. Nevertheless, the latest research findings on blockchain-based schemes for EHR privacy preservation are focused on single blockchain that corresponds to a designated medical institution, which are not compatible with the privacy anti-leakage demands since private data is transferred through multiple blockchains. In this regard, we put forward relay-chain as a service (RaaS), and propose a cross-blockchain based EHR Privacy-preserving scheme (CEPS), which uses relay-chain to achieve secure access to EHR data when patients visit different hospitals. Furthermore, our scheme ensures that patients can delete the link of EHR freely and effectively. security analysis and performance evaluations are performed, which prove that CEPS is highly secure and efficient impressively.

关键词： Hospitals Data privacy Privacy DH-HEMTs

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Automatic firmware emulation through invalidity-guided knowledge inference (extended version)

arXiv

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arXiv 2021年

作者： Zhou, Wei Guan, Le Liu, Peng Zhang, Yuqing National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences China Department of Computer Science University of Georgia United States College of Information Sciences and Technology The Pennsylvania State University United States School of Cyber Engineering Xidian University China School of Computer Science and Cyberspace Security Hainan University China

Emulating firmware for microcontrollers is challenging due to the tight coupling between the hardware and firmware. This has greatly impeded the application of dynamic analysis tools to firmware analysis. The state-of-the-art work automatically models unknown peripherals by observing their access patterns, and then leverages heuristics to calculate the appropriate responses when unknown peripheral registers are accessed. However, we empirically found that this approach and the corresponding heuristics are frequently insufficient to emulate firmware. In this work, we propose a new approach called µEmu to emulate firmware with unknown peripherals. Unlike existing work that attempts to build a general model for each peripheral, our approach learns how to correctly emulate firmware execution at individual peripheral access points. It takes the image as input and symbolically executes it by representing unknown peripheral registers as symbols. During symbolic execution, it infers the rules to respond to unknown peripheral accesses. These rules are stored in a knowledge base, which is referred to during the dynamic firmware analysis. µEmu achieved a passing rate of 95% in a set of unit tests for peripheral drivers without any manual assistance. We also evaluated µEmu with real-world firmware samples and new bugs were discovered. Copyright © 2021, The Authors. All rights reserved.

关键词： Firmware

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