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Optimal Defense Strategy against Evasion Attacks

Optimal Defense Strategy against Evasion Attacks

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International conference on Mobile Ad-hoc and sensor Networks, MSN

作者： Jiachen Wu Jipeng Li Yan Wang Yanru Zhang Yingjie Zhou College of Computer Science Sichuan University IntelliGame Lab School of Computer Science and Engineering University of Electronic Science and Technology of China Institute of Networks and Intelligent Systems Sichuan University

ISBN: (数字)9781728199160

ISBN: (纸本)9781728192369

Recent detection method based on machine learning demonstrates significant advantages against varieties of network attacks, and has been widely deployed in cloud applications. However, novel attacks such as advanced Persistent Threats (APTs) could evade detection of the intrusion detection system, which may lead to serious data leakage in cloud. Existing methods studied the countermeasures to defend against evasion attacks. However, a cloud service provider (CSP) also have to balance between its expect revenue and the security risk of system with limited resources. In this paper, we present the CSP's optimal strategy for effective and safety operation, in which the CSP decides the size of users that the cloud service will provide and whether enhanced countermeasures will be conducted for discovering the possible evasion attacks. While the CSP tries to optimize its profit by carefully making a two-step decision of the defense plan and service scale, the attacker considers its expected revenue to launch evasion attacks or not. To obtain insights of such a highly coupled system, we consider a system with one CSP and one attacker with two attack choices of whether to launch an evasion attack. We propose a two-stage Stackelberg game, in which the CSP acts as the leader who decides the defense plan and service scale in Stage I, and the attacker acts as the follower that determines whether to make evasion attacks in Stage II. We derive the Nash Equilibrium by analyzing the attacker's choices under different scenarios that the CSP selects. Then, we provide the CSP's optimal strategies to maximize its revenue. The simulation results help to better understand the CSP's optimal solutions under different situations.

关键词： Simulation Games Numerical simulation Safety sensors Security Optimization

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AIoT Blind Stick Based Independent Navigation with Enhanced YOLO Object Detection

AIoT Blind Stick Based Independent Navigation with Enhanced ...

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Mobile Networks and Wireless Communications (ICMNWC), IEEE International conference on

作者： S. Hariprasad N. Bharathiraja Deepa. T R. K. Nehaa Daniel Joseph Samuel S. N. Dhivya Sri Department of Computational Intelligence SRM Institute of Science and Technology Kattankulathur Chennai India Department of Biomedical Engineering Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Avadi Tiruvallur India Department of Electronics and Communication Engineering SRM Institute of Science and Technology Kattankulathur Chennai India Masters in Biomedical engineering Hochschule Furtwangen University University in Villingen-Schwenningen Baden-Württemberg Department of Biomedical Engineering Totonto Metropolitan University Toronto Canada

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

Nowadays, Artificial Intelligence (AI) and the Internet of Things (IoT) herald a transformative leap in assistive technologies, epitomized by the AIoT Blind Stick. This smart mobility aid the computational prowess of the Raspberry Pi to process a multitude of sensory inputs, delivering realtime environmental awareness to visually impaired users. The system provides auditory and haptic feedback to navigate complex urban landscapes safely and is equipped with GPS for location tracking, ultrasonic sensors for obstacle detection, and a camera interfaced with advanced object detection algorithm using YOLO8. Voice Based assistance given based on the object detected at each frame. The proposed YOLOv8m model demonstrates superior detection performance, achieving the highest Average Precision (AP) of 50.4 among the evaluated models. Although the frame rate (FPS) of 137 is slightly lower than that of the smaller models (YOLOv5s and YOLOv8s), it provides a significant balance between accuracy and processing speed, making it highly suitable for real-time object detection applications where precision is critical, such as assistive technologies for the visually impaired.

关键词： YOLO Navigation Heuristic algorithms Assistive technologies Real-time systems Internet of Things Reliability Artificial intelligence Intelligent sensors sensor arrays

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A Multi-channel Eye-Mask-based Wearable System for Accurate Eye Movement Recognition and Saccadic Angle Estimation

A Multi-channel Eye-Mask-based Wearable System for Accurate ...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Zheng Zeng Linkai Tao Ligang Zhou Xia Hu Wei Yuan Chen Chen Wei Chen Center for Intelligent Medical Electronics School of Information Science and Technology Fudan University Shanghai China Department of Industrial Design Eindhoven University of Technology Eindhoven The Netherlands Printable Electronics Research Centre Suzhou Institute of Nanotech and Nano-Bionics Chinese Academy of Sciences Suzhou China Human Phenome Institute Fudan University Shanghai China School of Biomedical Engineering The University of Sydney Australia

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

advanced wearable systems can accurately capture eye movement patterns, providing users with precise, comfortable, and reliable HCI solutions. In this paper, a Multichannel Eye-mask-based Wearable (MEW) system that offers a portable, high-sensitive eye movement recognition (EMR) and saccadic angle estimation (SAE) via the combination of multi-channel eye-mask electrodes, high-precision EOG acquisition system, and automatic EMR and SAE algorithms is proposed. The multi-channel eye-mask electrodes provide high-spatial-resolution EOG sensing, and the high-precision EOG acquisition system leverages an STM32 microcontroller and a BLE transceiver for wireless EOG data transmission. The proposed system was validated with EOG signals collected from 20 subjects over two days, during which they performed 8-directional EMR and SAE tasks. An average accuracy of 87.2% can be achieved on the EMR task. Besides, the mean absolute error (MAE) and root mean square error (RMSE) for the SAE task are 4.19°and 5.27°, indicating its effectiveness in capturing and decoding multiple eye movements. Overall, the proposed MEW system offers a reliable, portable, and high-sensitive solution in eye movement directions and angle tracking, which is also expected to be easily employed in practical scenarios for EOG-based HCI applications.

关键词： Electrodes Wireless communication Electrooculography Wireless sensor networks Accuracy Tracking Estimation Transceivers Reliability Iris recognition

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Characteristics Evaluation of Stretchable Strain sensor for Control of Pneumatic Artificial Muscle

Characteristics Evaluation of Stretchable Strain Sensor for ...

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Asian Control conference

作者： Hiroyuki Nakamoto Soushi Oida Hideo Ootaka Mitsunori Tada Ichiro Hirata Futoshi Kobayashi Fumio Kojima Graduate School of System Informatics Kobe University Bando Chemical Industries Digital Human Research Center National Institute of Advanced Industrial Science and Technology Hyogo Prefectural Institute of Technology

ISBN: (纸本)9781479978632

Precise measurement of stretching and contration of pneumatic artificial muscles is required to realize applications such as human friendly robotic systems or nursing care support systems because the artificial muscles which are mainly made from elastic materials have non-linear characteristics. To measure the length of the artificial muscles directly, we propose a stretchable strain sensor. The strain sensor has a simple and three-layer structure. The thinness of the strain sensor makes its low modulus of elasticity. In addition, the strain sensor is a light weight. In this paper, the principle of the sensor is described. Some fundamental experiments evaluate the effectiveness of the strain sensor. The strain sensor produces contraction and stretching of the artificial muscle based on a periodic wave input. Therefore, we confirm that the strain sensor has an ability to control the artificial muscle.

关键词： strain sensors sensors muscles Elastic Modulus Pneumatic Stretch periodic wave precise measurement elastic materials Standing Orders

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Detailed review on Integrated Healthcare Prediction System Using Artificial Intelligence and Machine Learning

Detailed review on Integrated Healthcare Prediction System U...

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Advance Computing and Innovative Technologies in Engineering (ICACITE), International conference on

作者： Deepa Parasar Arif Ali N. Muthuvairavan Pillai Archana Shahi Badria Sulaiman Alfurhood Kumud Pant CSE Amity University Maharashtra Department of CSE Dev Bhoomi Uttarakhand University Dehradun Uttarakhand India Computer Science and Business Systems R.M.D Engineering College Kavarapettai Chitkara Business School Chitkara University India Department of Computer Sciences College of Computer and Information Sciences Princess Nourahbint Abdulrahman University Saudi Arabia Department of Biotechnology Graphic Era Deemed to be University Dehradun Uttarakhand India

The intricacy and expansion of statistics in increased care sector will lead to an increase in the application of artificial intelligence (AI). There are several different AI techniques in use today by consumers, health professionals, and sciences companies. Guidelines for care and prognosis, patient and commitment, and organizational chores are the key application areas. Challenges will prevent the work of health professionals from being substantially computerized for a considerable length of time, despite the fact that AI can do healthcare tasks in many instances equally as well or better than people. Ethics issues and the implementation of artificial intelligence in healthcare are also discussed. AI technology is essential for producing effective healthcare applications. The definition of several effective software programmers may help in the growth of the health predictive model. Computer vision and cloud services are critical elements for building smart healthcare *** collection and analysis of a wide range of health care data may provide useful insights quickly. Artificial intelligence is also crucial in the process of illness detection and prognosis. This smart and efficient approach may help with early illness diagnosis. sensors connected through wireless networks make it possible to track the actions of a whole population. sensors embedded in the human body may aid in the recognition of emotions and facial expressions by using neural networks. There is a plethora of technological implementations that contribute to a more advanced data processing *** primary focus of this research is to determine how effectively various efficient technology’s function when used in the development of healthcare prediction models. AI uses a wide variety of sensor-based methods to boost healthcare's efficacy. Another area of study has substantial implications for the healthcare system. To help identify problems in biomedical goods, modelling tools may be pro

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Thermal ALD of Cu via reduction of CuxO films for the advanced metallization in spintronic and ULSI interconnect systems

Thermal ALD of Cu via reduction of CuxO films for the advanc...

引用

Semiconductor conference Dresden

作者： Steve Mueller Thomas Waechtler Lutz Hofmann André Tuchscherer Robert Mothes Ovidiu Gordan Daniel Lehmann Francisc Haidu Marcel Ogiewa Lukas Gerlich Shao-Feng Ding Stefan E. Schulz Thomas Gessner Heinrich Lang Dietrich R.T. Zahn Xin-Ping Qu Center for Microtechnologies Chemnitz University of Technology Chemnitz Germany Department of Inorganic Chemistry Chemnitz University of Technology Chemnitz Germany Department of Semiconductor Physics Chemnitz University of Technology Chemnitz Germany Fraunhofer Center Nanoelectronic Technologies Dresden Germany State Key Laboratory of ASIC and System Department of Microelectronics Fudan University Shanghai China

In this work, an approach for copper atomic layer deposition (ALD) via reduction of Cu x O films was investigated regarding applications in ULSI interconnects, like Cu seed layers directly grown on diffusion barriers (e. g. TaN) or possible liner materials (e. g. Ru or Ni) as well as non-ferromagnetic spacer layers between ferromagnetic films in GMR sensor elements, like Ni or Co. The thermal Cu x O ALD process is based on the Cu (I) β-diketonate precursor [( n Bu 3 P) 2 Cu(acac)] and a mixture of water vapor and oxygen (“wet O 2 ”) as co-reactant at temperatures between 100 and 130°C. Highly efficient conversions of the Cu x O to metallic Cu films are realized by a vapor phase treatment with formic acid (HCOOH), especially on Ru substrates. Electrochemical deposition (ECD) experiments on Cu ALD seed/Ru liner stacks in typical interconnect patterns are showing nearly perfectly filling behavior. For improving the HCOOH reduction on arbitrary substrates, a catalytic amount of Ru was successful introduced into the Cu x O films during the ALD with a precursor mixture of the Cu (I) β-diketonate and an organometallic Ru precursor. Furthermore, molecular and atomic hydrogen were studied as promising alternative reducing agents.

关键词： Copper Films Nickel Substrates Ultra large scale integration Atomic layer deposition Sputtering

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Integrated diagnosis and prognosis architecture for fleet vehicles using dynamic case-based reasoning

Integrated diagnosis and prognosis architecture for fleet ve...

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International Automatic Testing conference, AUTOTESTCON

作者： A. Saxena Biqing Wu G. Vachtsevanos School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This paper presents a hybrid reasoning architecture for integrated fault diagnosis and health maintenance of fleet vehicles. The aim of this architecture is to research, develop and test advanced diagnostic and decision support tools for maintenance of complex machinery. Artificial intelligence based diagnostic approach has been proposed with particular reference to dynamic case-based reasoning (DCBR). This system refines an asynchronous stream of symptom and repair actions into a compound case structure and efficiently organizes the relevant information into the case memory. Diagnosis is carried out into two steps for fast and efficient solution generation. First the situation is analyzed based on observed symptoms (textual descriptions) to propose initial diagnosis and generate corresponding explanation hypothesis. Next, based on the generated hypothesis relevant sensor data is collected and corresponding data analysis modules are activated for data-driven diagnosis. This approach reduces the computational demands to enable fast experience transfer and more reliable and informed testing. This system also tracks the success rates of all possible hypotheses for a given diagnosis and ranks them based on statistical evaluation criteria to improve the efficiency of future situations. Since the system can interact with multiple vehicles it learns about several operating environments resulting in a rich accumulation of experiences in relatively very short time. A distributed and generic architecture of this system is outlined from technical implementation point of view which can be used for widespread applications where both qualitative and quantitative observations can be gathered. Further, a concept of expanding this architecture for carrying out prognostic tasks is introduced.

关键词： Vehicle dynamics Aerospace industry Communication industry Computer industry Power generation Signal generators Hybrid power systems Information analysis Signal analysis Performance analysis

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Morphology Engineering of Semiconducting 2-Dimensional Micro/Nano-Crystal towards Organic Electronics—Nonplanar vs. Planar Molecular Geometry

Morphology Engineering of Semiconducting 2-Dimensional Micro...

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International conference on Nanoscience & Technology,China 2013(ChinaNANO 2013)

作者： Zong-qiong Lin Su-hui Yang Ling-hai Xie Wei Huang Center for Molecular Systems and Organic Devices (CMSOD) Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM) Nanjing University of Posts & Telecommunications Jiangsu-Singapore Joint Research Center for Organic/Bio-Electronics & Information Displays and Institute of Advanced Materials Nanjing University of Technology

Two-dimensional （2D） nanomaterials （as graphene and MoS 2 ） and inorganic semiconductor nanomembranes have attracted great research interest in view of their promising applications for high-performance optoelectronic devices, sensor, energy storage and catalysis. The 2D geometry of organic nanosheets （ONSs） is considered as the most promising geometries and facile integration into semiconducting devices comparing with other nanostructures, which will offer an unexplored opportunity in organic optoelectronics. However, bottom-up synthesis of ONSs from π-conjugated molecular is proposed as a thorny challenge. According to our best knowledge, it’s inherent hard to construct planar conjugated molecular into 2D geometry, due to the difficulty in realization of excessive symmetry in its configuration or group substitution, as a result of 1D nanostructure. We believe that the topological superiority of non-planar 3D configuration will offer a much more free degree in design the ONSs out of a high symmetry polyhedron. The equilibration of selfassembly driving force will collapse from 3D scale to 2D geometry, as tailoring the additional superamolecular synthons, leading to an anisotropic cohesive energy of habited facet and 2D growth in specific direction. In previous works, the highly symmetric polyhedral nanocrystals from cruciform-shaped SAHs have been well investigated, as the competition between supramolecular steric hindrance （SSH） and π-π stacking of aromatic planes. Herein, we demonstrated the first example of SAHs that are promising versatile assembling building blocks for organic nanosheets via molecular design. Pyrene-functionalized spiro[fluorene-9,7'-dibenzo[c,h] acridine]-5'-one （Py-SFDBAO） has been designed and synthesized to construct the ultra-thin organic nanosheet. The substituent geometric effect of pyrene moiety offers the π-π stacking drive force with the featuring distance of 3.55 , at 9' position of SFDBAO, enables the achievement of transformation fr

关键词： Morphology Engineering, Organic Nanosheet (ONS), Spirocyclic Aromatic Hydrocarbon, Resistive Memory

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Extremely High Temperature and High Pressure (x-HTHP) Endurable SOI Device and sensor Packaging for Harsh Environment applications

Extremely High Temperature and High Pressure (x-HTHP) Endura...

引用

IEEE Electronic Components and Technology conference

作者： K. Y. Au F. X. Che Eva Wai Leong Ching Institute of Microelectronics A*STAR (Agency for Science Technology and Research) Singapore

There are increasing interest in high temperature endurable sensor or device packaging solution for a set of wide ranging applications that include oil and gas production or deep sea exploration, advanced automotive application, aerospace, more electric aircraft initiative (MEA) or engine health management (EHM) systems, geothermal energy harvesting as well as other renewable energy industries. Besides high temperature endurable capability of the electronic device, heavy industries such as oil and gas down-hole drilling or exploration, deep sea or geological survey applications which require additional capability to endure high ambient pressure with target reliability requirement of up to 250℃ and 30Kpsi. A unique packaging solution is therefore required to address all the challenges associated with extreme high temperature and high pressure (x-HTHP) endurable electronics continuous operation in harsh x-HTHP ambient environment. In this paper, we demonstrated a packaging solution for sensor device with high reliability under harsh condition with extreme high temperature and high pressure through reliability test and finite element analysis.

关键词： High temperature and high temperature Packaging Reliability Finite element analysis

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Evaluating people's attention in the real world

Evaluating people's attention in the real world

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SICE Annual conference

作者： Niwat Thepvilojanapong Yasunori Yakiyama Oru Mihirogi Masayuki Iwai Kazunori Umeda Yoshito Tobe Ryosuke Shibasaki Core Research for Evolutional Science and Technology Japan Science and Technology Agency Japan School of Science and Technology for Future Life Tokyo Denki University Tokyo Japan School of Advanced Science and Technology Tokyo Denki University Tokyo Japan Department of Information Systems and Multimedia Design Tokyo Denki University Tokyo Japan Institute of Industrial Science University of Tokyo Tokyo Japan School of Science and Engineering Chuo University Tokyo Japan Center of Spatial Information Science University of Tokyo Tokyo Japan

Although human activities in the World Wide Web are rapidly increasing due to the advent of many online services and applications, we still need to appraise how things such as a merchandise in a store or pictures in a museum receive attention in the real world. To measure people's attention in the physical world, we propose a sensor of Physicalworld Attention using Laser scanning (SPAL). It is challenging to use a laser scanner because it provides only front-side circumference of any detected objects in a measurement area. Unlike cameras, a laser scanner poses no privacy problem because it does not recognize and record an individual. SPAL includes many important factors when calculating people's attention, i.e., lingering time, direction of people, distance between people and a target object. To obtain such information for calculation, we develop three processing modules to extract information from raw data measured by a laser scanner. We define two attention metrics and two measurement models to compute people's attention. To validate the proposed system, we implemented a prototype of SPAL and conducted experiments in the real-world environment. The results show that the proposed system is a good candidate for determining people's attention.

关键词： Laser theory Humans Web sites Appraisal Merchandise Object detection Area measurement Cameras Privacy Data mining

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