Zero-Bias Deep Learning For Accurate Identification Of Internet Of Things (Iot) Devices,
2020
Embry-Riddle Aeronautical University
Zero-Bias Deep Learning For Accurate Identification Of Internet Of Things (Iot) Devices, Yongxin Liu, Houbing Song, Thomas Yang, Jian Wang, Jianqiang Li, Shuteng Niu, Zhong Ming
Publications
The Internet of Things (IoT) provides applications and services that would otherwise not be possible. However, the open nature of IoT makes it vulnerable to cybersecurity threats. Especially, identity spoofing attacks, where an adversary passively listens to the existing radio communications and then mimic the identity of legitimate devices to conduct malicious activities. Existing solutions employ cryptographic signatures to verify the trustworthiness of received information. In prevalent IoT, secret keys for cryptography can potentially be disclosed and disable the verification mechanism. Noncryptographic device verification is needed to ensure trustworthy IoT. In this article, we propose an enhanced deep learning framework …
Underground Wireless Channel Bandwidth And Capacity,
2020
Purdue University
Underground Wireless Channel Bandwidth And Capacity, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
The UG channel bandwidth and capacity are vital parameters in wireless underground communication system design. In this chapter, a comprehensive analysis of the wireless underground channel capacity is presented. The impact of soil on return loss, bandwidth, and path loss is discussed. The results of underground multi-carrier modulation capacity are also outlined. Moreover, the single user capacity and multi-carrier capacity are also introduced with an in-depth treatment of soil texture, soil moisture, and distance effects on channel capacity. Finally, the chapter is concluded with a discussion of challenges and open research issues.
Underground Phased Arrays And Beamforming Applications,
2020
Purdue University
Underground Phased Arrays And Beamforming Applications, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
This chapter presents a framework for adaptive beamforming in underground communication. The wireless propagation is thoroughly analyzed to develop a model using the soil moisture as an input parameter to provide feedback mechanism while enhancing the system performance. The working of array element in the soil is analyzed. Moreover, the effect of soil texture and soil moisture on the resonant frequency and return loss is studied in detail. The wave refraction from the soil–air interface highly degrades the performance of the system. Furthermore, to beam steering is done to achieve high gain for lateral component improving the UG communication. The …
Current Advances In Internet Of Underground Things,
2020
Purdue University
Current Advances In Internet Of Underground Things, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
The latest developments in Internet of Underground Things are covered in this chapter. First, the IOUT Architecture is discussed followed by the explanation of the challenges being faced in this paradigm. Moreover, a comprehensive coverage of the different IOUT components is presented that includes communications, sensing, and system integration with the cloud. An in-depth coverage of the applications of the IOUT in various disciplines is also surveyed. These applications include areas such as decision agriculture, pipeline monitoring, border control, and oil wells.
Signals In The Soil: Subsurface Sensing,
2020
Purdue University
Signals In The Soil: Subsurface Sensing, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
In this chapter, novel subsurface soil sensing approaches are presented for monitoring and real-time decision support system applications. The methods, materials, and operational feasibility aspects of soil sensors are explored. The soil sensing techniques covered in this chapter include aerial sensing, in-situ, proximal sensing, and remote sensing. The underlying mechanism used for sensing is also examined as well. The sensor selection and calibration techniques are described in detail. The chapter concludes with discussion of soil sensing challenges.
Soil Moisture And Permittivity Estimation,
2020
Purdue University
Soil Moisture And Permittivity Estimation, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
The soil moisture and permittivity estimation is vital for the success of the variable rate approaches in the field of the decision agriculture. In this chapter, the development of a novel permittivity estimation and soil moisture sensing approach is presented. The empirical setup and experimental methodology for the power delay measurements used in model are introduced. Moreover, the performance analysis is explained that includes the model validation and error analysis. The transfer functions are reported as well for soil moisture and permittivity estimation. Furthermore, the potential applications of the developed approach in different disciplines are also examined.
Autonomous Irrigation Management In Decision Agriculture,
2020
Purdue University
Autonomous Irrigation Management In Decision Agriculture, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
In this chapter, the important application of autonomous irrigation management in the field decision agriculture is discussed. The different types of sensor-guided irrigation systems are presented that includes center pivot systems and drip irrigation systems. Their sensing and actuator components are with detailed focus on real-time decision-making and integration to the cloud. This chapter also presents irrigation control systems which takes, as an input, soil moisture and temperature from IOUT and weather data from Internet and communicate with center pivot based irrigation systems. Moreover, the system architecture is explored where development of the nodes including sensing and actuators is presented. …
Decision Agriculture,
2020
Purdue University
Decision Agriculture, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
In this chapter, the latest developments in the field of decision agriculture are discussed. The practice of management zones in digital agriculture is described for efficient and smart faming. Accordingly, the methodology for delineating management zones is presented. Modeling of decision support systems is explained along with discussion of the issues and challenges in this area. Moreover, the precision agriculture technology is also considered. Moreover, the chapter surveys the state of the decision agriculture technologies in the countries such as Bulgaria, Denmark, France, Israel, Malaysia, Pakistan, United Kingdom, Ukraine, and Sweden. Finally, different field factors such as GPS accuracy and …
Variable Rate Applications In Decision Agriculture,
2020
Purdue University
Variable Rate Applications In Decision Agriculture, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
In this chapter, the variable rate applications (VRA) are presented for the field of decision agriculture. The characteristics of VRA control systems are described along with control hardware. Different types of VRA systems are discussed (e.g., liquid VRA systems and dry VRA systems). A case study is also explored in this regard. Moreover, recent advances and future trends are also outlined. Accordingly, a sustainable variable-rate irrigation scheduling is studied where different hardware and software component of the cyber-physical system are considered. Finally, chapter is concluded with a novel sensor deployment methodology.
Signals In The Soil: Underground Antennas,
2020
Purdue University
Signals In The Soil: Underground Antennas, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
Antenna is a major design component of Internet of Underground Things (IOUT) communication system. The use of antenna, in IOUT, differs from traditional communication in that it is buried in the soil. Therefore, one of the main challenges, in IOUT applications, is to establish a reliable communication. To that end, there is a need of designing an underground-specific antenna. Three major factors that can impact the performance of a buried antenna are: (1) effect of high soil permittivity changes the wavelength of EM waves, (2) variations in soil moisture with time affecting the permittivity of the soil, and (3) difference …
Signals In The Soil: An Introduction To Wireless Underground Communications,
2020
Purdue University
Signals In The Soil: An Introduction To Wireless Underground Communications, Abdul Salam, Usman Raza
Computer Information Technology Faculty Publications
In this chapter, wireless underground (UG) communications are introduced. A detailed overview of WUC is given. A comprehensive review of research challenges in WUC is presented. The evolution of underground wireless is also discussed. Moreover, different component of UG communications is wireless. The WUC system architecture is explained with a detailed discussion of the anatomy of an underground mote. The examples of UG wireless communication systems are explored. Furthermore, the differences of UG wireless and over-the-air wireless are debated. Different types of wireless underground channel (e.g., In-Soil, Soil-to-Air, and Air-to-Soil) are reported as well.
The Law Of Black Mirror - Syllabus,
2020
CUNY Bernard M Baruch College
The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin
Open Educational Resources
Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.
Tech Policy And Legal Theory Syllabus,
2020
CUNY Bernard M Baruch College
Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin
Open Educational Resources
Technology has changed dramatically over the last couple of decades. Currently, virtually all business industries are powered by large quantities of data. The potential as well as actual uses of business data, which oftentimes includes personal user data, raise complex issues of informed consent and data protection. This course will explore many of these complex issues, with the goal of guiding students into thinking about tech policy from a broad ethical perspective as well as preparing students to responsibly conduct themselves in different areas and industries in a world growingly dominated by technology.
Blockchain And Its Transformational Impact To Global Business,
2020
Southern Methodist University
Blockchain And Its Transformational Impact To Global Business, Mohammed Qaudeer
Operations Research and Engineering Management Theses and Dissertations
The advent of internet to the public back in 1994 resulted in the 4th industrial revolution disrupting and transforming business and communication models. As much as the transformation changed our lives and experiences, it has resulted in centralized models like Amazon and Facebook. It also resulted in exponential growth of Fraud, Identity theft, and lack of trust. Blockchain is considered an emerging technology of this era, which will trigger the 5th industrial revolution enabling another massive storm of disruptive transformation completely changing the current business models based on trust, security, collaboration and crypto currency. As the evolution of blockchain technology …
A Review Paper: Analysis Of Weka Data Mining Techniques For Heart Disease Prediction System,
2020
Al-Mustansiriyah University
A Review Paper: Analysis Of Weka Data Mining Techniques For Heart Disease Prediction System, Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim Al-Aqbi, Lamees Abdalhasan Salman
Library Philosophy and Practice (e-journal)
Data mining is characterized as searching for useful information through very large data sets. Some of the key and most common techniques for data mining are association rules, classification, clustering, prediction, and sequential models. For a wide range of applications, data mining techniques are used. Data mining plays a significant role in disease detection in the health care industry. The patient should be needed to detect a number of tests for the disease. However, the number of tests should be reduced by using data mining techniques. In time and performance, this reduced test plays an important role. Heart disease is …
How Can 5g Make Our Lives Better?,
2020
Syracuse University
How Can 5g Make Our Lives Better?, Firas Slewa Dawod
International Programs
Our lives will be significantly improved with the advent of the new cellular wireless technology due to all its new features and applications. This Poster discusses the main features and application of 5G technology and its positive impact on society, in particular facilitating interactive and smart communities.
Indonesian Library User Behaviour During Covid 19 Pandemic On Digital Library Platform,
2020
Syracuse University
Indonesian Library User Behaviour During Covid 19 Pandemic On Digital Library Platform, Irhamni
International Programs
COVID-19 pandemic has significantly changed library user behavior, workplaces, and some public areas including in the library. During the COVID 19 pandemics, the digital library with a mobile app like ipusnas has facilitated to accessing library resources. The ipusnas has increased people's accessibility to library materials. This research focuses on the use of the digital library has a significant impact on library users behavior; it can influence how they read, access the library, and their interaction with the library resources.
Traffic Privacy Study On Internet Of Things – Smart Home Applications,
2020
California Polytechnic State University, San Luis Obispo
Traffic Privacy Study On Internet Of Things – Smart Home Applications, Ayan Patel
Master's Theses
Internet of Things (IoT) devices have been widely adopted in many different applications in recent years, such as smart home applications. An adversary can capture the network traffic of IoT devices and analyze it to reveal user activities even if the traffic is encrypted. Therefore, traffic privacy is a major concern, especially in smart home applications. Traffic shaping can be used to obfuscate the traffic so that no meaningful predictions can be drawn through traffic analysis. Current traffic shaping methods have many tunable variables that are difficult to optimize to balance bandwidth overheads and latencies. In this thesis, we study …
Three-Dimensional (3d) Reconstruction Of Computed Tomography (Ct) Abdominal Images Using Visualization Toolkit (Vtk),
2020
Universiti Malaya
Three-Dimensional (3d) Reconstruction Of Computed Tomography (Ct) Abdominal Images Using Visualization Toolkit (Vtk), Mat Saad Afifah Husna
Student Works (2020-2029)
A computerized tomography (CT) or computerized axial tomography (CAT) scan combines data from several X-raysito produce a detailed image of structures inside the body. CT scans produce 2D of a “slice” or section of the abdomen but the data can also be used to construct 3-dimensional images. However, CT scan unable to accurately represent the internal structure of soft tissues and soft-tissue lesions. Therefore, using the program in Visualization Tool Kit (VTK) is needed to construct a much more clearer 3D image. To reconstruct 3D images from 2D images of a “slice” or section of abdomen which will be resulting …
Snitch Application: Addressing Cyber Trust In Future Living Spaces,
2020
Christopher Newport University
Snitch Application: Addressing Cyber Trust In Future Living Spaces, Russell Moore
Cybersecurity Undergraduate Research Showcase
The future of smart homes is filled with excitement and ample opportunity to live in an environment that features extraordinary convenience and energy efficiency. Devices such as Amazon Alexa and Roku Smart TV’s feature voice interaction options that provide the user with enhanced functionality. While voice-activated devices are accommodating, it is imperative to acknowledge how they work on the backend. The problem is that these devices collect and share a large amount of data from users who are oftentimes unaware that it’s even happening. The Snitch App is being developed in order to inform the user of what exactly is …
