Counter-terrorism in cyber–physical spaces:Best practices and technologies from the state of the art

Context: The demand for protection and security of physical spaces and urban areas increased with the escalation of terroristic attacks in recent years. We envision with the proposed cyber–physical systems and spaces, a city that would indeed become a smarter urbanistic object, proactively providing alerts and being protective against any threat. Objectives: This survey intend to provide a systematic multivocal literature survey comprised of an updated, comprehensive and timely overview of state of the art in counter-terrorism cyber–physical systems, hence aimed at the protection of cyber–physical spaces. Hence, provide guidelines to law enforcement agencies and practitioners providing a description of technologies and best practices for the protection of public spaces. Methods: We analyzed 112 papers collected from different online sources, both from the academic field and from websites and blogs ranging from 2004 till mid-2022. Results: (a) There is no one single bullet-proof solution available for the protection of public spaces. (b) From our analysis we found three major active fields for the protection of public spaces: Information Technologies, Architectural approaches, Organizational field. (c) While the academic suggest best practices and methodologies for the protection of urban areas, the market did not provide any type of implementation of such suggested approaches, which shows a lack of fertilization between academia and industry. Conclusion: The overall analysis has led us to state that there is no one single solution available, conversely, multiple methods and techniques can be put in place to guarantee safety and security in public spaces. The techniques range from architectural design to rethink the design of public spaces keeping security into account in continuity, to emerging technologies such as AI and predictive surveillance.</p

How WEIRD is Usable Privacy and Security Research? (Extended Version)

In human factor fields such as human-computer interaction (HCI) and psychology, researchers have been concerned that participants mostly come from WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries. This WEIRD skew may hinder understanding of diverse populations and their cultural differences. The usable privacy and security (UPS) field has inherited many research methodologies from research on human factor fields. We conducted a literature review to understand the extent to which participant samples in UPS papers were from WEIRD countries and the characteristics of the methodologies and research topics in each user study recruiting Western or non-Western participants. We found that the skew toward WEIRD countries in UPS is greater than that in HCI. Geographic and linguistic barriers in the study methods and recruitment methods may cause researchers to conduct user studies locally. In addition, many papers did not report participant demographics, which could hinder the replication of the reported studies, leading to low reproducibility. To improve geographic diversity, we provide the suggestions including facilitate replication studies, address geographic and linguistic issues of study/recruitment methods, and facilitate research on the topics for non-WEIRD populations.Comment: This paper is the extended version of the paper presented at USENIX SECURITY 202

Security Optimization for Distributed Applications Oriented on Very Large Data Sets

The paper presents the main characteristics of applications which are working with very large data sets and the issues related to security. First section addresses the optimization process and how it is approached when dealing with security. The second section describes the concept of very large datasets management while in the third section the risks related are identified and classified. Finally, a security optimization schema is presented with a cost-efficiency analysis upon its feasibility. Conclusions are drawn and future approaches are identified.Security, Optimization, Very Large Data Sets, Distributed Applications

Software Engineering Methodologies and Life

The paradigms of design patterns and software engineering methodologies are methods that apply to areas outside the software space. As a business owner and student, I implement many software principles daily in both my work and personal life. After experiencing the power of Agile methodologies outside the scope of software engineering, I always think about how I can integrate the computer science skills that I am learning at Columbia in my life. For my study, I seek to learn about other software engineering development processes that can be useful in life. I theorize that if a model such as Agile can provide me with useful tools, then a model that the government and most of the world trusts should have paradigms I can learn with as well. The software model I will study is open source software (OSS). My research examines the lateral software standards of (OSS) and closed source software (CSS). For the scope of this paper, I will focus on research primarily on Linux as the OSS model and Agile as the CSS model. OSS has had an extraordinary impact on the software revolution [1], and CSS models have gained such popularity that its paradigms extend far beyond the software engineering space. Before delving into research, I thought the methodologies of OSS and CSS would be radically different. My study shall describe the similarities that exist between these two methodologies. In the process of my research, I was able to implement the values and paradigms that define the OSS development model to work more productively in my business. Software engineering core values and models can be used as a tool to improve our lives

Towards a Reconsideration of the Use of Agree-Disagree Questions in Measuring Subjective Evaluations

Agree-disagree (AD) or Likert questions (e.g., “I am extremely satisfied: strongly agree … strongly disagree”) are among the most frequently used response formats to measure attitudes and opinions in the social and medical sciences. This review and research synthesis focuses on the measurement properties and potential limitations of AD questions. The research leads us to advocate for an alternative questioning strategy in which items are written to directly ask about their underlying response dimensions using response categories tailored to match the response dimension, which we refer to as item-specific (IS) (e.g., “How satisfied are you: not at all … extremely”). In this review we: 1) synthesize past research comparing data quality for AD and IS questions; 2) present conceptual models of and review research supporting respondents’ cognitive processing of AD and IS questions; and 3) provide an overview of question characteristics that frequently differ between AD and IS questions and may affect respondents’ cognitive processing and data quality. Although experimental studies directly comparing AD and IS questions yield some mixed results, more studies find IS questions are associated with desirable data quality outcomes (e.g., validity and reliability) and AD questions are associated with undesirable outcomes (e.g., acquiescence, response effects, etc.). Based on available research, models of cognitive processing, and a review of question characteristics, we recommended IS questions over AD questions for most purposes. For researchers considering the use of previously administered AD questions and instruments, issues surrounding the challenges of translating questions from AD to IS response formats are discussed

The Social Experiences of College Students With Autism Spectrum Disorder

Through the passage of federal disability legislation, the opportunity to attain higher education exists for individuals experiencing Autism Spectrum Disorder (ASD). Researchers have examined the neurodevelopmental impact of ASD on students and the needs of students at colleges and universities. Since ASD affects the social communication of individuals, the researcher conducted a study to gather lived stories of the social experiences of students with ASD. Through a narrative methodology, three students provided lived stories of their social experiences at a higher education institution. Students provided stories through interviews and journal writing of their social interactions with instructors, peers, and staff. The researcher utilized narrative coding and problem-solution narrative in the analyzation of data. Students reported varied experiences with instructors, peers, and staff. Participants reported low interest and interactions at college events. Through the research, students from a traditionally marginalized population had a voice to share their experiences. The study increased awareness within the Autism community, families, and higher education institutions of the social experiences of students with ASD

Manoeuvring drone (Tello Talent) using eye gaze and or fingers gestures

The project aims to combine hands and eyes to control a Tello Talent drone based on computer vision, machine learning and an eye tracking device for gaze detection and interaction. The main purpose of this project is gaming, experimental and educational for next coming generation, in addition it is very useful for the peoples who cannot use their hands, they can maneuver the drone by their eyes movement, and hopefully this will bring them some fun. The idea of this project is inspired by the progress and development in the innovative technologies such as machine learning, computer vision and object detection that offer a large field of applications which can be used in diverse domains, there are many researcher are improving, instructing and innovating the new intelligent manner for controlling the drones by combining computer vision, machine learning, artificial intelligent, etc. This project can help anyone even the people who they don¿t have any prior knowledge of programming or Computer Vision or theory of eye tracking system, they learn the basic knowledge of drone concept, object detection, programing, and integrating different hardware and software involved, then playing. As a final objective, they can able to build simple application that can control the drones by using movements of hands, eyes or both, during the practice they should take in consideration the operating condition and safety required by the manufacturers of drones and eye tracking device. The concept of Tello Talent drone is based on a series of features, functions and scripts which are already been developed, embedded in autopilot memories and are accessible by users via an SDK protocol. The SDK is used as an easy guide to developing simple and complex applications; it allows the user to develop several flying mission programs. There are different experiments were studied for checking which scenario is better in detecting the hands movement and exploring the keys points in real-time with low computing power computer. As a result, I find that the Google artificial intelligent research group offers an open source platform dedicated for developing this application; the platform is called MediaPipe based on customizable machine learning solution for live streaming video. In this project the MediaPipe and the eye tracking module are the fundamental tools for developing and realizing the application