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Elevating Login Security with Hybrid Encryption Enhanced QR Authentication

Elevating Login Security with Hybrid Encryption Enhanced QR ...

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international conference on Communication and Electronics Systems (ICCES)

作者： Busam Venkata Lahari Busireddy Dhathri G Nithin Kavitha C.R. Department of Computer Science & Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

As the digital world continues to grow, the need for robust and secure authentication systems to protect sensitive information has never been more important. this paper introduces a developing approach to login security by combining QR Code technology with the highly regarded RSA Signature Scheme (Rivest-Shamir-Adleman) and Advanced Encryption Standard (AES). this combination aims to significantly improve login security. Traditional username-password based authentication is vulnerable to phishing attacks, password compromise, cyber exploits, intellectual property theft, brute force attacks. On the other hand, RSA has built a strong reputation, mainly because it uses a strong encryption scheme that makes it extremely difficult for the agent to get access to sensitive data. this two-factor authentication system provides security, while ensuring user convenience by merging the RSA and AES algorithms with QR codes. this paper aims to combine QR code-based login consistently with existing digital platforms, using the strengths of both RSA and AES encryption. this dual-layered security approach was created to attain significant advancements in protecting information on an international scale while ensuring ease of use for the end-user. In addition, the paper will address possible challenges such as key management and the development of effective authentication and access control mechanisms, making sure a complete and secure authentication solution. Also, 4 different combinations of algorithms are compared, out of which RSA and AES are the best combinations ever.

关键词： Phishing Authentication QR codes Passwords Brute force attacks threat assessment Encryption Security Usability Standards

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A Power Balanced Against Side Channel Attack SM4 Algorithm Based on RRAM/CMOS Hybrid Technology

A Power Balanced Against Side Channel Attack SM4 Algorithm B...

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international conference on Integrated Circuits and Microsystems (ICICM)

作者： Pengju Wang Yuejun Zhang Hongshuai Wei Huihong Zhang Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China

ISBN: (数字)9798331509453

ISBN: (纸本)9798331520243

the SM4 algorithm is now widely used to ensure the security of data transmission, but its physical implementation is still vulnerable to side channel attack. By studying the structure of SM4 algorithm, this paper proposes a scheme of SM4 algorithm against side-channel attack based on RRAM/CMOS hybrid power balancing. the scheme first studies the dynamic power balancing mechanism under the cooperative operation mode of RRAM cell and CMOS, and designs the complementary output RRAM/CMOS hybrid power balancing cell circuit by utilizing the RRAM programmable resistor states and the efficient control of CMOS logic gates; then, the leakage analysis reveals that there is a vulnerability of SM4 algorithm hardware implementation in the wheel output. To address this issue, the power balancing cell circuit is applied to the wheel output position of SM4 algorithm to decouple the correlation between power consumption and data in the output stage; finally, the power consumption curve is extracted by Spectre simulation under TSMC 65nm process and verified against correlation power analysis (CPA) attack. the experimental results demonstrate that, compared with the traditional implementation, the circuit proposed in this paper can still defend against CPA attack with 1200 power consumption curves, with more than two times higher hardware security than the traditional SM4 implementation.

关键词： Resistors Micromechanical devices Power demand Correlation Heuristic algorithms Wheels Side-channel attacks Hybrid power systems Encryption Performance analysis

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Morse Code Datasets for Machine Learning

Morse Code Datasets for Machine Learning

引用

international conference on computing, Communication and Networking Technologies

作者： Sourya Dey Keith M. Chugg Peter A. Beerel Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles California USA

We present an algorithm to generate synthetic datasets of tunable difficulty on classification of Morse code symbols for supervised machine learning problems, in particular, neural networks. the datasets are spatially one-dimensional and have a small number of input features, leading to high density of input information content. this makes them particularly challenging when implementing network complexity reduction methods. We explore how network performance is affected by deliberately adding various forms of noise and expanding the feature set and dataset size. Finally, we establish several metrics to indicate the difficulty of a dataset, and evaluate their merits. the algorithm and datasets are open-source.

关键词： Machine learning Artificial neural networks Data science Information theory Classification

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Optimization of Multi-scenario Distributed Generation Considering Voltage Sag

Optimization of Multi-scenario Distributed Generation Consid...

引用

IEEE international conference on Power and Power and Renewable Energy (ICPRE)

作者： Li MA Xin LIU Chao ZHANG Di XIAO College of Electrical and Control Engineering Xi'an University of Science and Technology Xi’an China Luzhou Power Supply Company of State Grid Sichuan Electric Power Company Luzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

Considering the fluctuation and uncertainty of distributed generation (DG) output and its impact on the distribution network, how to reasonably plan the access scheme of DG is one of the current research focuses. the combination of K-means clustering algorithm (K-mean) and Adaptive and Fast Density-Based Spatial Clustering of Applications with Noise (AF -DBSCAN) is employed to realize more efficient scenario reduction. the voltage sag economic loss evaluation index of sensitive loads considering multi-scenario is proposed to further reflect the impact of DG output uncertainty on voltage sag of sensitive loads. A mathematical model for capacity optimal configuration of DG is established by taking voltage stability, active power loss, and voltage sag economic loss of sensitive loads as the optimization objectives. the sparrow search algorithm is used to solve the mathematical model, and the fuzzy matter-element evaluation method is adopted to evaluate the Pareto optimal set and finally obtain the optimal access scheme. the simulation results of the IEEE 33-bus distribution system show that the reasonable access of DG helps to improve the overall system voltage stability as well as reduce the system network loss and economic loss, which verifies the rationality and effectiveness of the proposed method.

关键词： Economics Uncertainty Power quality Stability criteria Clustering algorithms Distribution networks Mathematical models Distributed power generation Timing Optimization

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Risk Modeling and Traceability of Boundary Attacks on Internet of Power Systems Based on Complex Networks

Risk Modeling and Traceability of Boundary Attacks on Intern...

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IEEE international conference on Data science in Cyberspace (DSC)

作者： Xin Li Zhaoyang Qu Tong Yu Ming Xie Fu Yu Wei Ding School of Electrical Engineering Northeast Electric Power University Jilin China People’s Bank of China Qinghai Provincial Branch Xining China China Southern Power Grid Guangxi Power Grid Co. Ltd. Research Institute Nanning China Bijie Power Supply Bureau China Guizhou Power Grid Co. Ltd. Bijie China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (数字)9798350391367

ISBN: (纸本)9798350391374

With the increasing intelligence of power IoT terminal devices, the massive volume of data transmission, and the widespread adoption of shared services, traditional terminal boundary security mechanisms are unable to keep up with the rapid development of network technologies and applications. Additionally, they fail to trace and source network attacks, leading to frequent organized and purposeful malicious attack incidents. To address these issues, this paper proposes a research method for risk modeling and traceability of boundary attacks on power IoT terminals based on complex networks. First, based on the node information of power IoT terminal devices and complex network theory, a terminal boundary attack network (TBAN) is established. Next, using indicators related to complex network theory, such as degree, in-degree, and out-degree, the terminal boundary attack network is analyzed. Furthermore, a staged TBAN is proposed to analyze the attack risks at different times. then, combining causal theory, a method for tracing and sourcing terminal boundary attacks based on a causal Bayesian network is proposed to identify and trace malicious attacks. Finally, validation and testing analysis are conducted using the actual deployment of power IoT terminal devices. the proposed analysis method transforms the spatial characteristics of the power IoT terminal boundary into a temporally sequential TBAN, which not only visually reflects attack risks but also reveals the temporal relationships of terminal boundary attacks between lines.

关键词： Complex networks Transforms Data science Data models Bayes methods Power systems Internet Security Data communication Testing

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Wireless Implantable EMG Sensor for Powered Prosthesis control

Wireless Implantable EMG Sensor for Powered Prosthesis Contr...

引用

2008 9th international conference on Solid-State and Integrated-Circuit Technology

作者： Darrin J. Young Bradley D. Farnsworth Ronald J. Triolo Department of Electrical Engineering and Computer Science Department of Orthopaedics and Biomedical Engineering Case Western Reserve University ClevelandOhio 44106U.S.A

this paper presents a wireless, subfascially implantable electromyogram (EMG) sensing microsystem for intelligent myoelectric control of powered prostheses. the implantable system consists of a custom-designed ASIC, an RF telemetry coil, and two Pt-Ir epimysial EMG electrodes, and is capable of wirelessly transmitting digitized EMG data to an external telemeter mounted in a prosthetic socket. the prototype microsystem is powered by a near-field inductive link operating at 8 MHz with 10% DC power transfer efficiency. On-chip rectification and regulation produce stable 2 V and 2.7 V supplies with a DC current driving capability up to 100 μA. the EMG electrodes are interfaced with a differential capacitively-coupled amplifier with 38 dB closed-loop gain, 1 kHz bandwidth, and 78 nV/ Hz input-referred noise floor. the amplified EMG signal is then digitized on chip by using an 11-bit algorithmic ADC. the digital EMG data can be Manchester-coded and transmitted to the external telemeter using passive phase shift keying (PSK) modulation scheme over the same wireless link as the inductive powering system. the implantable microsystem consumes 83 μA and achieves 8.7-bit resolution when wirelessly powered by an external RF energy source. Animal implant experiments have been successfully conducted to demonstrate EMG signals from a laboratory rat hind limb can be detected and wirelessly transmitted to an external telemeter with high signal fidelity.

关键词： EMG Wireless Implantable EMG Sensor for Powered Prosthesis control Sensor

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Low Power, High Speed Current Starved Ring Oscillator based ADC using 18nm FinFET Technology

Low Power, High Speed Current Starved Ring Oscillator based ...

引用

international conference on computing and Networking Technology (ICCNT)

作者： Gokul Chandrasekaran P Pavithara P M Dinesh V Arun Kumar J S Sharanyanivasini K Kavin Kumar Department of Electronics and Communication Engineering Karpagam Institute of Technology Coimbatore Department of Electronics and Communication Engineering Kongu Engineering College Perundurai Erode Department of Electronics and Communication Engineering Sona College of Technology Salem Department of Electrical and Electronics Engineering Nandha Engineering College Erode India Department of Computer Science and Engineering Erode Sengunthar Engineering College Perundurai Thuduppathi

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

the goal of achieving high performance, low power consumption, and small area footprint is still central to the field of analog-to-digital converters (ADCs). this work describes a new methodology that enables the design of Current Starved Ring Oscillator (CSRO) architecture using 18nm FinFET technology. the CSRO based ADC meets the growing needs of contemporary electronic systems with promised improvements in speed, power efficiency, and portability. the intrinsic qualities of FinFET transistors are utilized by the CSRO architecture to produce high performance metrics such as improved sub threshold behavior, lower leakage currents, and superior gate control, all of which are essential for low power consumption and high speed operation. In addition, compared to conventional ADC designs, the 18 nm production node enables tighter component integration, resulting in a compact ADC design. the precise analog-to- digital conversion is made possible by controlling the oscillation frequency through the use of current starving techniques. In order to reduce power consumption, mitigate electromagnetic interference and extend the battery life, starving ring oscillators are employed. the ability of the GDI (Gate Diffusion Input) technique to lower space overhead and power consumption provides an effective solution for low-power and high-density applications in contemporary integrated circuits. the proposed CSRO based ADC with GDI technique experiences a delay of 1.208 ns and power consumption of 356.08 mW while the ADC without GDI technique involves a delay of 1.44 ns and 391 mW of power consumption. this shows that the proposed ADC exhibits 14% improvement inspeed and 9% improvement in power compared to the ADCwithout GDI technique.

关键词： Ring oscillators Performance evaluation Power demand Production Logic gates Signal processing FinFETs Delays Transistors Propagation delay

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Multi-fault Diagnosis for Rolling Bearing Based on Double Parallel Extreme Learning Machine ＆ Kurtosis Spectral Entropy

Multi-fault Diagnosis for Rolling Bearing Based on Double Pa...

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2017 9th international conference on Modelling, Identification and control (ICMIC 2017)

作者： Hongfang Yuan Xiaoling Hou Huaqing Wang the School of Information Science and Technology Beijing University of Chemical Technology the School of Mechanical & Electrical Engineering Beijing University of Chemical Technology

In this paper,double parallel feedforward extreme learning machine（DP-ELM） model and kurtosis spectral entropy（KSE） are proposed for the early weak multi-fault diagnosis for rolling *** learning machine（ELM） has been widely used as a fast classification *** a key problem for ELM is to reduce the impact of random variables and it can’t make full use of the direct and indirect information among different *** solve the problems,a connection is built between the input layer and the output *** is,the output layer receives information not only from the hidden layer but also directly from the input *** a set of the input layer weights and the hidden layer thresholds will be chosen analytically by founding the best ***,feature extraction is the prerequisite for *** order to improve the accuracy of the multi-fault classification,this paper applies the kurtosis spectral entropy（KSE） algorithm to get the useful features from the vibration *** the eigenvalues are input into the DP-ELM model for pattern *** this paper,two sets of rolling bearing data at different speed are used to *** each set of data includes six different *** with ELM,back propagation neuron network（BP） and radial basis function（RBF）,the experimental results show that,with as few as possible of the hidden nodes,the improved method used in this paper ensures a short learning time that it might learn hundreds of times faster than BP method,and obviously increases the accuracy at a ***,10 times 10-fold-cross-validation are used to prove the effectiveness.

关键词： DP-ELM kurtosis spectral entropy multi-fault diagnosis rolling bearing

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A Survey on Energy Efficiency in Cellular Networks

A Survey on Energy Efficiency in Cellular Networks

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the 9th international conference on Wireless Communications,Networking and Mobile computing(WICOM 2013)

作者： Xiaochen Su Enchang Sun Meng Li F.Richard Yu Yanhua Zhang College of Electronic Information and Control Engineering Beijing University of Technology Department of Systems and Computer Eng. Carleton University

With the continuous increase of user requirement, the Information and Communication Technology (ICT) has developed rapidly. As a result, both capacity and coverage performances have been improved, and at the same time, the communication networks have been more energy-intensive. In order to improve the energy efficiency of cellular networks, the green communication must be realized in the future networks. In this article, we present a short survey on energy-efficient technology of cellular networks. Moreover, we classify them into three categories based on their application scenarios: energy-efficient architectures, energy-efficient resource management and energy-efficient radio technologies. For the first scenario, the applications of relay, Coordinated Multiple Points (CoMP) and heterogeneous network are discussed in detail. For the second scenario, the switching off scheme will be introduced as an emphasis of this part. And for the third scenario, the Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) will be introduced as the representatives of the Energy-Efficient Radio Technologies. Finally, based on the technologies introduced above, a prospect forecast of the energy-efficient wireless cellular network is presented.

关键词： Green Wireless Communication Energy-Efficient CoMP Relay Switching off Scheme

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Users and batteries: interactions and adaptive energy management in mobile systems 07

Users and batteries: interactions and adaptive energy manage...

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Proceedings of the 9th international conference on Ubiquitous computing

作者： Nilanjan Banerjee Ahmad Rahmati Mark D. Corner Sami Rollins Lin Zhong Dept. of Computer Science Univ. of Massachusetts Amherst Dept. of Electrical and Computer Engineering Rice University Dept. of Computer Science Univ. of San Francisco

ISBN: (纸本)9783540748526

Battery lifetime has become one of the top usability concerns of mobile systems. While many endeavors have been devoted to improving battery lifetime, they have fallen short in understanding how users interact with batteries. In response, we have conducted a systematic user study on battery use and recharge behavior, an important aspect of user-battery interaction, on both laptop computers and mobile phones. Based on this study, we present three important findings: 1) most recharges happen when the battery has substantial energy left, 2) a considerable portion of the recharges are driven by context (location and time), and those driven by battery levels usually occur when the battery level is high, and 3) there is great variation among users and systems. these findings indicate that there is substantial opportunity to enhance existing energy management policies, which solely focus on extending battery lifetime and often lead to excess battery energy upon recharge, by adapting the aggressiveness of the policy to match the usage and recharge patterns of the device. We have designed, deployed, and evaluated a user- and statistics-driven energy management system, Llama, to exploit the battery energy in a user-adaptive and user-friendly fashion to better serve the user. We also conducted a user study after the deployment that shows Llama effectively harvests excess battery energy for a better user experience (brighter display) or higher quality of service (more application data) without a noticeable change in battery lifetime.

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