Autoprov: An Automated File Provenance Collection Tool,
2017
Air Force Institute of Technology
Autoprov: An Automated File Provenance Collection Tool, Ryan A. Good
Theses and Dissertations
A file's provenance is a detailing of its origins and activities. There are tools available that are useful in maintaining the provenance of a file. Unfortunately for digital forensics, these tools require prior installation on the computer of interest while provenance generating events happen. The presented tool addresses this by reconstructing a file's provenance from several temporal artifacts. It identifies relevant temporal and user correlations between these artifacts, and presents them to the user. A variety of predefined use cases and real world data are tested against to demonstrate that this software allows examiners to draw useful conclusions about the …
Applying Cyber Threat Intelligence To Industrial Control Systems,
2017
Air Force Institute of Technology
Applying Cyber Threat Intelligence To Industrial Control Systems, Matthew P. Sibiga
Theses and Dissertations
A cybersecurity initiative known as cyber threat intelligence (CTI) has recently been developed and deployed. The overall goal of this new technology is to help protect network infrastructures. Threat intelligence platforms (TIPs) have also been created to help facilitate CTI effectiveness within organizations. There are many benefits that both can achieve within the information technology (IT) sector. The industrial control system (ICS) sector can also benefit from these technologies as most ICS networks are connected to IT networks. CTI and TIPs become resourceful when using indicators of compromise (IOCs) from known ICS malware attacks and an open source intrusion detection …
Satellite Communications In The V And W Band: Natural And Artificial Scintillation Effects,
2017
Air Force Institute of Technology
Satellite Communications In The V And W Band: Natural And Artificial Scintillation Effects, David A. Smith
Theses and Dissertations
In a natural atmospheric environment the troposphere will be the primary source of loss with the ionosphere loss being negligible. If the ionosphere was disturbed from a high altitude nuclear explosion (HANE) more than three times the amount of electrons would be present in the ionosphere and could represent a source of significant loss. In order to determine the amount of electrons distributed from a HANE, GSCENARIO, developed by Defense Threat Reduction Agency was used. The two sources of loss that were examined was signal absorption and amplitude scintillation. Signal loss was determined using GSCENARIO and amplitude scintillation loss was …
Framework For Industrial Control System Honeypot Network Traffic Generation,
2017
Air Force Institute of Technology
Framework For Industrial Control System Honeypot Network Traffic Generation, Htein A. Lin
Theses and Dissertations
Defending critical infrastructure assets is an important but extremely difficult and expensive task. Historically, decoys have been used very effectively to distract attackers and in some cases convince an attacker to reveal their attack strategy. Several researchers have proposed the use of honeypots to protect programmable logic controllers, specifically those used to support critical infrastructure. However, most of these honeypot designs are static systems that wait for a would-be attacker. To be effective, honeypot decoys need to be as realistic as possible. This paper introduces a proof-of-concept honeypot network traffic generator that mimics genuine control systems. Experiments are conducted using …
Uhf Rfid Antenna Impedance Matching Techniques,
2017
California Polytechnic State University, San Luis Obispo
Uhf Rfid Antenna Impedance Matching Techniques, Kamron Sockolov
Master's Theses
Radio Frequency Identification (RFID) systems use electromagnetic signals to wirelessly identify and track RFID-tagged objects. A reader transmits a carrier wave request signal to an RFID tag, which then transmits a unique identification signal back to the reader. Applications include supply chain inventory management, automated toll booth fee systems, sports event timing, restricted access control, pet monitoring and retail theft prevention. An RFID tag includes an antenna connected to a Radio Frequency Integrated Circuit (RFIC). RFID tags in the ultra-high frequency (UHF), industrial, scientific and medical (ISM) 902-928MHz band and global Electronic Product Code (EPC) 860‑960MHz band are powered passively …
Thermal Evolution Of Moon,
2017
California Polytechnic State University, San Luis Obispo
Thermal Evolution Of Moon, Arshdeep Singh Gill
Master's Theses
In August, 2014 three experiments were conducted using infrared systems deployed at White Mountain Research center, CA. The data was acquired for the whole month of August. Teams of 3-4 students from Cal Poly San Luis Obispo and UC Santa Barbara were stationed at the research center for 2-3 days to operate the equipment. The three experiments were:(1) creating spatial-temporal time series of lunar surface temperatures;(2) identifying atmospheric meteor trails;(3) search for meteor impacts on the Moon surface. Out of the three this thesis focusses on experiment 1 and the results from this experiment could also help with the other …
Data-Centric Situational Awareness And Management In Intelligent Power Systems,
2017
University of Denver
Data-Centric Situational Awareness And Management In Intelligent Power Systems, Xiaoxiao Dai
Electronic Theses and Dissertations
The rapid development of technology and society has made the current power system a much more complicated system than ever. The request for big data based situation awareness and management becomes urgent today. In this dissertation, to respond to the grand challenge, two data-centric power system situation awareness and management approaches are proposed to address the security problems in the transmission/distribution grids and social benefits augmentation problem at the distribution-customer lever, respectively.
To address the security problem in the transmission/distribution grids utilizing big data, the first approach provides a fault analysis solution based on characterization and analytics of the synchrophasor …
Optimal Capacity And Energy Efficiency Of Massive Mimo Systems,
2017
University of Denver
Optimal Capacity And Energy Efficiency Of Massive Mimo Systems, Ahmed Alshammari
Electronic Theses and Dissertations
A lot of effort has been made during the last two decades to study and apply the concepts of MIMO technology in most of the wireless standards. Therefore, a huge improvement in the performance of wireless communications has been made. However, Demand for wireless services has exponentially increased during the past ten years. Hence, high throughput is very important for all users to get the best experience with the offered services. This creates many technical challenges that are difficult to handle with the existing technology. Therefore, massive multiple input multiple output (massive MIMO) is a new technology that has been …
Effect Of Exponential Correlation Model On Spectral And Energy Efficiency For Massive Mimo Systems,
2017
University of Denver
Effect Of Exponential Correlation Model On Spectral And Energy Efficiency For Massive Mimo Systems, Saleh Albdran
Electronic Theses and Dissertations
During the past few years, the number of wireless devices has been increasing rapidly. Wireless networks are serving and connecting billions of wireless devices where these devices are demanding higher data rate and lower latency to be able to support voice, video and gaming applications. Moreover, the consumed energy by the wireless systems will be increasing. Hence, the Fifth generation (5G) wireless networks needs to provide higher data rate, serve larger number of users simultaneously and be more energy efficient. One of the promising technologies that can meet the above requirements is Massive Multiple Input Multiple Output (MIMO). The main …
Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment,
2017
Old Dominion University
Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu
Information Technology & Decision Sciences Faculty Publications
Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including: 1) decision making of CDSS is complicated by the complexity of the data regarding human physiology and pathology, which could render the whole process more time-consuming by loading big data related to patients; and 2) information incompatibility among different health information systems (HIS) …
Qos Recommendation In Cloud Services,
2017
Old Dominion University
Qos Recommendation In Cloud Services, Xianrong Zheng, Li Da Xu, Sheng Chai
Information Technology & Decision Sciences Faculty Publications
As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers. As a result, how to assist cloud providers to promote their services and cloud consumers to identify services that meet their QoS requirements becomes an important problem. In this paper, we argue for QoS-based cloud service recommendation, and propose a collaborative filtering approach using the Spearman coefficient to recommend cloud …
Industrial Wireless Sensor Networks 2016,
2017
Old Dominion University
Industrial Wireless Sensor Networks 2016, Qindong Sun, Schancang Li, Shanshan Zhao, Hongjian Sun, Li Xu, Arumugam Nallamathan
Information Technology & Decision Sciences Faculty Publications
The industrial wireless sensor network (IWSN) is the next frontier in the Industrial Internet of Things (IIoT), which is able to help industrial organizations to gain competitive advantages in industrial manufacturing markets by increasing productivity, reducing the costs, developing new products and services, and deploying new business models.
Optimizing Rpl Objective Function For Mobile Low-Power Wireless Networks,
2017
The British University in Egypt
Optimizing Rpl Objective Function For Mobile Low-Power Wireless Networks, Mohammad Abdellatif, Ifeoma Urama, Hossein Fotouhei
Electrical Engineering
Supporting mobility in wireless sensor networks is one of the major requirements for future Internet of Things (IoT) applications. This work focuses on optimizing the objective function of Routing Protocol for Low-power and Lossy Networks (RPL) in mobile applications. RPL routing is the most common standard routing protocol designed for IoT applications. We optimized RPL objective function by combining several RPL parameters, such as (i) Expected Transmission Count (ETX), (ii) number of hops, and (iii) average Received Signal Strength Indicator (RSSI) as inputs in a fuzzy logic model. These parameters are more influenced in mobile applications. We applied the fuzzy …
Cooperative Anti-Jamming For Secondary Opportunistic Networks: A Colonel Blotto Game Model,
2017
Assiut University
Cooperative Anti-Jamming For Secondary Opportunistic Networks: A Colonel Blotto Game Model, Mohammad Abdellatif, Mohamed Abdelraheem
Electrical Engineering
Dynamic Spectrum Access (DSA) has been proposed to increase the spectrum utilization efficiency and to solve the spectrum scarcity problem. However, due to the spectrum sharing and opportunistic access nature of the DSA networks, they are more vulnerable to security threats like jammers. In this paper, we propose an anti-jamming technique in which the secondary network coordinator groups the secondary users in smart collations over the different channels. By utilizing cooperative communication, the secondary users in these collations can boost their transmission against the effect of the jammer. The interaction between the secondary network and the jammer is modeled as …
An Acoustic-Based Approach For Condition Monitoring Of Pipes,
2017
Arkansas Tech University
An Acoustic-Based Approach For Condition Monitoring Of Pipes, Muhammad S. Khan, Turaj Ashuri, Mitchell Collins, Geoffrey Birkemeier, Emad Almohmmedali
Journal of the Arkansas Academy of Science
Polyvinyl chloride pipes are extensively used in municipal sewer systems. As the sewer system ages, polyvinyl chloride pipes become prone to developing cracks that can release toxic effluents into the environment. Traditionally, utility operators pass a close circuit television camera mounted on a guided vehicle through the pipe to monitor the defects. The video is observed by a trained operator who records the condition of the pipe. This arrangement has two major limitations. First, it is expensive due to complex set up. Second, if a pipe is blocked the guided vehicle cannot pass through its entire length. A more economical …
Identification, Calculation And Warning Of Horizontal Curves For Low-Volume Two-Lane Roadways Using Smartphone Sensors,
2017
South Dakota State University
Identification, Calculation And Warning Of Horizontal Curves For Low-Volume Two-Lane Roadways Using Smartphone Sensors, Shaohu Zhang
Electronic Theses and Dissertations
Smartphones and other portable personal devices that integrate global positioning systems, Bluetooth Low Energy, and advanced computing technologies have become more accessible due to affordable prices, product innovation, and people’s desire to be connected. As more people own these devices, there are greater opportunities for data acquisition in Intelligent Transportation Systems, and for vehicle-to-infrastructure communication. Horizontal curves are a common factor in the number of observed roadway crashes. Identifying locations and geometric characteristics of the horizontal curves plays a critical role in crash prediction and prevention, and timely curve warnings save lives. However, most states in the US face a …
Development Of Microgrid Test Bed For Testing Energy Management System,
2017
South Dakota State University
Development Of Microgrid Test Bed For Testing Energy Management System, Shaili Nepal
Electronic Theses and Dissertations
Today the world population has reached 7.5 billion, and this number is expected to grow at the rate of 1.13% every year [1]. With this increase in population, the total demand for electricity has also increased. More people means the need for more power: electricity to power homes, schools, industries, hospitals, and so on. In today’s world, where most of the daily activities are dependent on electricity, demand for electricity, therefore, continues to rise. Currently, managing this growing need for electricity is one of the challenges the world is facing. In addition to this, approximately 1.2 billion people live in …
Magneto Inductive Communication System For Underwater Wireless Sensor Networks,
2017
Missouri University of Science and Technology
Magneto Inductive Communication System For Underwater Wireless Sensor Networks, Niaz Ahmed
Doctoral Dissertations
"Underwater wireless sensor networks have found a number of applications in underwater environment monitoring, infrastructure monitoring, military applications and ocean exploration. Among the four possible means of underwater wireless communication, namely acoustic, electromagnetic (EM), magneto-inductive (MI) and optics communication, MI communication enjoys the advantages of being low cost and robust equally in air, water and soil. This dissertation presents design and implementation of a low-power and low-cost MI sensor network node that is suited for long-term deployment of underwater and underground infrastructure monitoring, such as bridge scour and levee scour monitoring. The designed MI sensor node combat the directionality of …
Node Localization In Underwater Sensor Networks (Uwsn),
2017
Missouri University of Science and Technology
Node Localization In Underwater Sensor Networks (Uwsn), Huai Huang
Doctoral Dissertations
"This dissertation focuses on node localization in underwater wireless sensor networks (UWSNs) where anchor nodes have knowledge of their own locations and communicate with sensor nodes in acoustic or magnetic induction (MI) means. The sensor nodes utilize the communication signals and the locations of anchor nodes to locate themselves and propagate their locations through the network.
For UWSN using MI communications, this dissertation proposes two localization methods: rotation matrix (RM)-based method and the distance-based method. Both methods require only two anchor nodes with arbitrarily oriented tri-directional coils to locate one sensor node in the 3-D space, thus having advantages in …
Efficient Energy Optimization For Smart Grid And Smart Community,
2017
South Dakota State University
Efficient Energy Optimization For Smart Grid And Smart Community, Avijit Das
Electronic Theses and Dissertations
The electric power industry has undergone significant changes in response to the environmental concerns during the past decades. Nowadays, due to the integration of different distributed energy systems in the smart grid, the balancing between power generation and load demand becomes a critical problem. Specifically, due to the intermittent nature of renewable energy sources (RESs) , power system optimization becomes significantly complicated. Due to the uncertain nature of RESs, the system may fail to ensure the power quality which may cause increased operating costs for committing costly reserve units or penalty costs for curtailing load demands. This dissertation presents three …
