Achieving Obfuscation Through Self-Modifying Code: A Theoretical Model,
2020
Liberty University
Achieving Obfuscation Through Self-Modifying Code: A Theoretical Model, Heidi Waddell
Senior Honors Theses
With the extreme amount of data and software available on networks, the protection of online information is one of the most important tasks of this technological age. There is no such thing as safe computing, and it is inevitable that security breaches will occur. Thus, security professionals and practices focus on two areas: security, preventing a breach from occurring, and resiliency, minimizing the damages once a breach has occurred. One of the most important practices for adding resiliency to source code is through obfuscation, a method of re-writing the code to a form that is virtually unreadable. …
Storage Management Strategy In Mobile Phones For Photo Crowdsensing,
2020
Jilin University
Storage Management Strategy In Mobile Phones For Photo Crowdsensing, En Wang, Zhengdao Qu, Xinyao Liang, Xiangyu Meng, Yongjian Yang, Dawei Li, Weibin Meng
Department of Computer Science Faculty Scholarship and Creative Works
In mobile crowdsensing, some users jointly finish a sensing task through the sensors equipped in their intelligent terminals. In particular, the photo crowdsensing based on Mobile Edge Computing (MEC) collects pictures for some specific targets or events and uploads them to nearby edge servers, which leads to richer data content and more efficient data storage compared with the common mobile crowdsensing; hence, it has attracted an important amount of attention recently. However, the mobile users prefer uploading the photos through Wifi APs (PoIs) rather than cellular networks. Therefore, photos stored in mobile phones are exchanged among users, in order to …
A Distributed Model-View-Controller Design Pattern For A Graphical Remote Control Of A Multi-User Application,
2020
Kutztown University
A Distributed Model-View-Controller Design Pattern For A Graphical Remote Control Of A Multi-User Application, Dale E. Parson
Computer Science and Information Technology Faculty
The Model-View-Controller (MVC) is a design pattern for architecting the interactions among human users of graphical computing systems with the software Controller that manages user input, the Model that houses system state, and the View that projects the Model state into intelligible graphical form. The present work examines extending MVC into a Distributed Model-View-Controller pattern, starting with a stand-alone MVC system that is amenable to distribution over a local area network (LAN). Distribution takes the form of cloning a stand-alone MVC application into distinct client and server programs, and then altering each for its purpose while maintaining the initial graphical …
Csci 49378: Lecture 1: Overview,
2020
CUNY Hunter College
Csci 49378: Lecture 1: Overview, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Overview" (Week One) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 3: Synchronization, Consistency And Replication,
2020
CUNY Hunter College
Csci 49378: Lecture 3: Synchronization, Consistency And Replication, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Synchronization, Consistency and Replication" (Week Three) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Final Project Assignment: Distributed Systems And Cloud Computing,
2020
CUNY Hunter College
Csci 49378: Final Project Assignment: Distributed Systems And Cloud Computing, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Final Project Assignment for the course: "CSCI 49378: Intro to Distributed Systems and Cloud Computing" delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 10: Cloud Storage And Databases Ii,
2020
CUNY Hunter College
Csci 49378: Lecture 10: Cloud Storage And Databases Ii, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases II" (Week Ten) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 7: Cloud Systems And Infrastructures I,
2020
CUNY Hunter College
Csci 49378: Lecture 7: Cloud Systems And Infrastructures I, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures I" (Week Seven) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 11: Logging, Monitoring, And Advanced Topics,
2020
CUNY Hunter College
Csci 49378: Lecture 11: Logging, Monitoring, And Advanced Topics, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics" (Week Eleven) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 8: Cloud Systems And Infrastructures Ii,
2020
CUNY Hunter College
Csci 49378: Lecture 8: Cloud Systems And Infrastructures Ii, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures II" (Week Eight) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 2: Distributed Systems - Key Concepts & Techniques,
2020
CUNY Hunter College
Csci 49378: Lecture 2: Distributed Systems - Key Concepts & Techniques, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed Systems - Key Concepts & Techniques" (Week Two) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 5: Distributed Web-Based Applications,
2020
CUNY Hunter College
Csci 49378: Lecture 5: Distributed Web-Based Applications, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed Web-based Applications" (Week five) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 4: Distributed File Systems,
2020
CUNY Hunter College
Csci 49378: Lecture 4: Distributed File Systems, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed File Systems" (Week Four) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 6: Cloud Computing Concepts,
2020
CUNY Hunter College
Csci 49378: Lecture 6: Cloud Computing Concepts, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Computing Concepts" (Week Six) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Csci 49378: Lecture 9: Cloud Storage And Databases I,
2020
CUNY Hunter College
Csci 49378: Lecture 9: Cloud Storage And Databases I, Bonan Liu, Nyc Tech-In-Residence Corps
Open Educational Resources
Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases I" (Week Nine) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.
Devops: Architecting Your Infrastructure (Syllabus),
2020
CUNY City College
Devops: Architecting Your Infrastructure (Syllabus), Jeremy Andrews, Nyc Tech-In-Residence Corps
Open Educational Resources
Syllabus for the "DevOps" course delivered at the City College of New York in Spring 2020 by Jeremy Andrews as part of the Tech-in-Residence Corps program.
Devops: Lecture 1 - "Overview",
2020
CUNY City College
Devops: Lecture 1 - "Overview", Jeremy Andrews, Nyc Tech-In-Residence Corps
Open Educational Resources
Overview lecture for the "DevOps" course delivered at the City College of New York in Spring 2020 by Jeremy Andrews as part of the Tech-in-Residence Corps program.
Learning In The Machine: To Share Or Not To Share?,
2020
Chapman University
Learning In The Machine: To Share Or Not To Share?, Jordan Ott, Erik Linstead, Nicholas Lahaye, Pierre Baldi
Engineering Faculty Articles and Research
Weight-sharing is one of the pillars behind Convolutional Neural Networks and their successes. However, in physical neural systems such as the brain, weight-sharing is implausible. This discrepancy raises the fundamental question of whether weight-sharing is necessary. If so, to which degree of precision? If not, what are the alternatives? The goal of this study is to investigate these questions, primarily through simulations where the weight-sharing assumption is relaxed. Taking inspiration from neural circuitry, we explore the use of Free Convolutional Networks and neurons with variable connection patterns. Using Free Convolutional Networks, we show that while weight-sharing is a pragmatic optimization …
Graph Classification With Kernels, Embeddings And Convolutional Neural Networks,
2020
San Jose State University
Graph Classification With Kernels, Embeddings And Convolutional Neural Networks, Monica Golahalli Seenappa, Katerina Potika, Petros Potikas
Faculty Publications, Computer Science
In the graph classification problem, given is a family of graphs and a group of different categories, and we aim to classify all the graphs (of the family) into the given categories. Earlier approaches, such as graph kernels and graph embedding techniques have focused on extracting certain features by processing the entire graph. However, real world graphs are complex and noisy and these traditional approaches are computationally intensive. With the introduction of the deep learning framework, there have been numerous attempts to create more efficient classification approaches. We modify a kernel graph convolutional neural network approach, that extracts subgraphs (patches) …
Iot-Hass: A Framework For Protecting Smart Home Environment,
2020
Dakota State University
Iot-Hass: A Framework For Protecting Smart Home Environment, Tarig Mudawi
Masters Theses & Doctoral Dissertations
While many solutions have been proposed for smart home security, the problem that no single solution fully protects the smart home environment still exists. In this research we propose a security framework to protect the smart home environment. The proposed framework includes three engines that complement each other to protect the smart home IoT devices. The first engine is an IDS/IPS module that monitors all traffic in the home network and then detects, alerts users, and/or blocks packets using anomaly-based detection. The second engine works as a device management module that scans and verifies IoT devices in the home network, …
