Source Anonymization Of Digital Images: A Counter–Forensic Attack On Prnu Based Source Identification Techniques,
2017
National Institute of Technology, Rourkela
Source Anonymization Of Digital Images: A Counter–Forensic Attack On Prnu Based Source Identification Techniques, Prithviraj Sengupta, Venkata Udaya Sameer, Ruchira Naskar, Ezhil Kalaimannan
Annual ADFSL Conference on Digital Forensics, Security and Law
A lot of photographers and human rights advocates need to hide their identity while sharing their images on the internet. Hence, source–anonymization of digital images has become a critical issue in the present digital age. The current literature contains a number of digital forensic techniques for “source–identification” of digital images, one of the most efficient of them being Photo–Response Non–Uniformity (PRNU) sensor noise pattern based source detection. PRNU noise pattern being unique to every digital camera, such techniques prove to be highly robust way of source–identification. In this paper, we propose a counter–forensic technique to mislead this PRNU sensor noise …
Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels,
2017
Stockholm University
Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels, Irvin Homem, Panagiotis Papapetrou
Annual ADFSL Conference on Digital Forensics, Security and Law
In recent times, DNS tunneling techniques have been used for malicious purposes, however network security mechanisms struggle to detect them. Network forensic analysis has been proven effective, but is slow and effort intensive as Network Forensics Analysis Tools struggle to deal with undocumented or new network tunneling techniques. In this paper, we present a machine learning approach, based on feature subsets of network traffic evidence, to aid forensic analysis through automating the inference of protocols carried within DNS tunneling techniques. We explore four network protocols, namely, HTTP, HTTPS, FTP, and POP3. Three features are extracted from the DNS tunneled traffic: …
An Accidental Discovery Of Iot Botnets And A Method For Investigating Them With A Custom Lua Dissector,
2017
University of Alabama, Birmingham
An Accidental Discovery Of Iot Botnets And A Method For Investigating Them With A Custom Lua Dissector, Max Gannon, Gary Warner, Arsh Arora
Annual ADFSL Conference on Digital Forensics, Security and Law
This paper presents a case study that occurred while observing peer-to-peer network communications on a botnet monitoring station and shares how tools were developed to discover what ultimately was identified as Mirai and many related IoT DDOS Botnets. The paper explains how researchers developed a customized protocol dissector in Wireshark using the Lua coding language, and how this enabled them to quickly identify new DDOS variants over a five month period of study.
Underwater Celestial Navigation Using The Polarization Of Light Fields,
2017
Washington University in St. Louis
Underwater Celestial Navigation Using The Polarization Of Light Fields, Samuel Bear Powell
McKelvey School of Engineering Graduate Student Theses & Dissertations
Global-scale underwater navigation presents challenges that modern technology has not solved. Current technologies drift and accumulate errors over time (inertial measurement), are accurate but short-distance (acoustic), or do not sufficiently penetrate the air-water interface (radio and GPS). To address these issues, I have developed a new mode of underwater navigation based on the passive observation of patterns in the polarization of in-water light. These patterns can be used to infer the sun__s relative position, which enables the use of celestial navigation in the underwater environment. I have developed an underwater polarization video camera based on a bio-inspired polarization image sensor …
The Replacement Of Network Switches,
2017
Gallaudet University
The Replacement Of Network Switches, Sean Fenton
Undergraduate University Honors Capstones
Networking equipment often has to be replaced every few years in order to keep up with network speed demands and bandwidth, as well as the expiration of equipment. Gallaudet’s network switches were approaching their End of Life (EoL) and the Gallaudet networking team decided to replace the networking equipment to improve the network efficiency at Gallaudet. After much research and debate, the decision was made to replace current Cisco networking equipment with Juniper in order to optimize the network speed for Internet traffic. Cisco and Juniper are competing brands for a wide range of networking equipment. The capstone project is …
Adaptive Region-Based Approaches For Cellular Segmentation Of Bright-Field Microscopy Images,
2017
University of South Florida
Adaptive Region-Based Approaches For Cellular Segmentation Of Bright-Field Microscopy Images, Hady Ahmady Phoulady
USF Tampa Graduate Theses and Dissertations
Microscopy image processing is an emerging and quickly growing field in medical imaging research area. Recent advancements in technology including higher computation power, larger and cheaper storage modules, and more efficient and faster data acquisition devices such as whole-slide imaging scanners contributed to the recent microscopy image processing research advancement. Most of the methods in this research area either focus on automatically process images and make it easier for pathologists to direct their focus on the important regions in the image, or they aim to automate the whole job of experts including processing and classifying images or tissues that leads …
Inferring Motion Direction Using Commodity Wi-Fi For Interactive Exergames,
2017
Singapore Management University
Inferring Motion Direction Using Commodity Wi-Fi For Interactive Exergames, Kun Qian, Chenshu Wu, Zimu Zhou, Yue Zheng, Yang Zheng, Yunhao Liu
Research Collection School Of Computing and Information Systems
In-air interaction acts as a key enabler for ambient intelligence and augmented reality. As an increasing popular example, exergames, and the alike gesture recognition applications, have attracted extensive research in designing accurate, pervasive and low-cost user interfaces. Recent advances in wireless sensing show promise for a ubiquitous gesture-based interaction interface with Wi-Fi. In this work, we extract complete information of motion-induced Doppler shifts with only commodity Wi-Fi. The key insight is to harness antenna diversity to carefully eliminate random phase shifts while retaining relevant Doppler shifts. We further correlate Doppler shifts with motion directions, and propose a light-weight pipeline to …
Lightweight Data Aggregation Scheme Against Internal Attackers In Smart Grid Using Elliptic Curve Cryptography,
2017
Wuhan University, China
Lightweight Data Aggregation Scheme Against Internal Attackers In Smart Grid Using Elliptic Curve Cryptography, Debiao He, Sherali Zeadally, Huaqun Wang, Qin Liu
Information Science Faculty Publications
Recent advances of Internet and microelectronics technologies have led to the concept of smart grid which has been a widespread concern for industry, governments, and academia. The openness of communications in the smart grid environment makes the system vulnerable to different types of attacks. The implementation of secure communication and the protection of consumers’ privacy have become challenging issues. The data aggregation scheme is an important technique for preserving consumers’ privacy because it can stop the leakage of a specific consumer’s data. To satisfy the security requirements of practical applications, a lot of data aggregation schemes were presented over the …
Classification Of Images Based On Pixels That Represent A Small Part Of The Scene. A Case Applied To Microaneurysms In Fundus Retina Images,
2017
Kennesaw State University
Classification Of Images Based On Pixels That Represent A Small Part Of The Scene. A Case Applied To Microaneurysms In Fundus Retina Images, Pablo F. Ordonez, Pablo F. Ordonez
Master of Science in Computer Science Theses
Convolutional Neural Networks (CNNs), the state of the art in image classification, have proven to be as effective as an ophthalmologist, when detecting Referable Diabetic Retinopathy (RDR). Having a size of less than 1\% of the total image, microaneurysms are early lesions in DR that are difficult to classify. The purpose of this thesis is to improve the accuracy of detection of microaneurysms using a model that includes two CNNs with different input image sizes, 60x60 and 420x420 pixels. These models were trained using the Kaggle and Messidor datasets and tested independently against the Kaggle dataset, showing a sensitivity of …
A Robotics Framework For Simulation And Control Of A Robotic Arm For Use In Higher Education,
2017
Southern Adventist University
A Robotics Framework For Simulation And Control Of A Robotic Arm For Use In Higher Education, Craig Christensen
MS in Computer Science Project Reports
Robotic arms have been in common use for a several decades now in many areas from manufacturing and industrial uses to hobby projects and amusement park rides. However, there have been very few attempts to make an inexpensive robot arm with a software stack for use in higher education. This paper will outline a control and interfacing software stack built on the Robot Operating System (ROS) and a simulation of the 5 degree of freedom (DoF) robotic arm.
Tum: Towards Ubiquitous Multi-Device Localization For Cross-Device Interaction,
2017
Singapore Management University
Tum: Towards Ubiquitous Multi-Device Localization For Cross-Device Interaction, Han Xu, Zheng Yang, Zimu Zhou, Ke Yi, Chunyi Peng
Research Collection School Of Computing and Information Systems
Cross-device interaction is becoming an increasingly hot topic as we often have multiple devices at our immediate disposal in this era of mobile computing. Various cross-device applications such as file sharing, multi-screen display, and crossdevice authentication have been proposed and investigated. However, one of the most fundamental enablers remains unsolved: How to achieve ubiquitous multi-device localization? Though pioneer efforts have resorted to gesture-assisted or sensing-assisted localization, they either require extensive user participation or impose some strong assumptions on device sensing abilities. This introduces extra costs and constraints, and thus degrades their practicality. To overcome these limitations, we propose TUM, an …
Developing And Implementing An Online Research Data Repository For Your University Or College Campus,
2017
Texas State University
Developing And Implementing An Online Research Data Repository For Your University Or College Campus, Raymond J. Uzwyshyn
Digital Initiatives Symposium
Data-driven research is becoming increasingly important on university and college campuses. Most US federal and many international granting agencies mandatorily require that researchers applying for public grants possess a data management plan and make their research and data publically available through online access. This presentation overviews online research data repositories and implementation strategies for university and college campus libraries. The presentation pragmatically surveys this newer technology landscape and how organizations can begin to think about and implement an online data research repository. This session will survey the landscape but also makes use of practical example from Texas State University and …
Improving Automatic Content Type Identification From A Data Set,
2017
University of Arkansas, Fayetteville
Improving Automatic Content Type Identification From A Data Set, Kathy T. Dai
Computer Science and Computer Engineering Undergraduate Honors Theses
Data file layout inference refers to building the structure and determining the metadata of a text file. The text files dealt within this research are personal information records that have a consistent structure. Traditionally, if the layout structure of a text file is unknown, the human user must undergo manual labor of identifying the metadata. This is inefficient and prone to error. Content-based oracles are the current state-of-the-art automation technology that attempts to solve the layout inference problem by using databases of known metadata. This paper builds upon the information and documentation of the content-based oracles, and improves the databases …
Music Feature Matching Using Computer Vision Algorithms,
2017
University of Arkansas, Fayetteville
Music Feature Matching Using Computer Vision Algorithms, Mason Hollis
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper seeks to establish the validity and potential benefits of using existing computer vision techniques on audio samples rather than traditional images in order to consistently and accurately identify a song of origin from a short audio clip of potentially noisy sound. To do this, the audio sample is first converted to a spectrogram image, which is used to generate SURF features. These features are compared against a database of features, which have been previously generated in a similar fashion, in order to find the best match. This algorithm has been implemented in a system that can run as …
Project Pradio,
2017
University of Arkansas, Fayetteville
Project Pradio, Trigg T. La Tour
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper examines the design and manufacturing of a device that allows two or more users to share a wireless audio stream. Effectively, this allows a group of people to listen to the same audio in a synchronized manner. The product was unable to be completed in the allotted time. Regardless, significant progress was made and valuable insight into the circuit board design process was gained.
Enhancing An Extensible Interpreter With A Syntax Macro Facility,
2017
Arkansas Tech University
Enhancing An Extensible Interpreter With A Syntax Macro Facility, Xin Wan
Theses and Dissertations from 2017
This thesis builds a syntax macro facility for an extensible interpreter, which enables the developer to extend the base language at run time, without knowing the details of the interpreter. In the enhanced extensible interpreter, each grammar rule is represented by a distinct class that inherits from Instruction class, which contains all the information necessary for scanning, parsing, and interpreting the corresponding construct. The macro facility is implemented by a special class Macro, which also inherits from Instruction class. Each macro rule is associated with a unique Macro instance. With the new extensible interpreter strategy, the syntax macro facility does …
A Study Of Activation Functions For Neural Networks,
2017
University of Arkansas, Fayetteville
A Study Of Activation Functions For Neural Networks, Meenakshi Manavazhahan
Computer Science and Computer Engineering Undergraduate Honors Theses
Artificial neural networks are function-approximating models that can improve themselves with experience. In order to work effectively, they rely on a nonlinearity, or activation function, to transform the values between each layer. One question that remains unanswered is, “Which non-linearity is optimal for learning with a particular dataset?” This thesis seeks to answer this question with the MNIST dataset, a popular dataset of handwritten digits, and vowel dataset, a dataset of vowel sounds. In order to answer this question effectively, it must simultaneously determine near-optimal values for several other meta-parameters, including the network topology, the optimization algorithm, and the number …
On The Simulation And Mitigation Of Anisoplanatic Optical Turbulence For Long Range Imaging,
2017
University of Dayton
On The Simulation And Mitigation Of Anisoplanatic Optical Turbulence For Long Range Imaging, Russell C. Hardie, Daniel A. Lemaster
Electrical and Computer Engineering Faculty Publications
We describe a numerical wave propagation method for simulating long range imaging of an extended scene under anisoplanatic conditions. Our approach computes an array of point spread functions (PSFs) for a 2D grid on the object plane. The PSFs are then used in a spatially varying weighted sum operation, with an ideal image, to produce a simulated image with realistic optical turbulence degradation. To validate the simulation we compare simulated outputs with the theoretical anisoplanatic tilt correlation and differential tilt variance. This is in addition to comparing the long- and short-exposure PSFs, and isoplanatic angle. Our validation analysis shows an …
Models For Pedestrian Trajectory Prediction And Navigation In Dynamic Environments,
2017
California Polytechnic State University, San Luis Obispo
Models For Pedestrian Trajectory Prediction And Navigation In Dynamic Environments, Jeremy N. Kerfs
Master's Theses
Robots are no longer constrained to cages in factories and are increasingly taking on roles alongside humans. Before robots can accomplish their tasks in these dynamic environments, they must be able to navigate while avoiding collisions with pedestrians or other robots. Humans are able to move through crowds by anticipating the movements of other pedestrians and how their actions will influence others; developing a method for predicting pedestrian trajectories is a critical component of a robust robot navigation system. A current state-of-the-art approach for predicting pedestrian trajectories is Social-LSTM, which is a recurrent neural network that incorporates information about neighboring …
Detection Of Plant Emergence Based On Spatio Temporal Image Sequence Analysis,
2017
University of Nebraska-Lincoln
Detection Of Plant Emergence Based On Spatio Temporal Image Sequence Analysis, Bhushit Agarwal
School of Computing: Dissertations, Theses, and Student Research
The phenome of a plant is the sum of all observable phenotypes for that plant. Phenotypes are observable characteristics or traits of a plant. These traits generally reflect a combination of influences from the genotype of the plant and the environment in which the plant has grown and developed. Collecting phenotypic data has traditionally been a slow and costly manual process, albeit one highly necessary for plant breeding and the development of improved agronomic practices. As a result automated methods for plant phenotyping analysis have become an active research field in recent years. Image-based plant phenotyping analysis facilitates extraction of …
