The AARO UAP Report for FY 2023 (original) (raw)
Related papers
The Pentagon UAP Study 2023
Abstract: It is well known that the U.S. Department of Defense (DoD) is currently active in the UFO arena. In the last several years U.S. legislators have been very busy with regard to UFOs, now called UAP. With the present paper, I am reviewing the National Defense Authorization Act (NDAA) for Fiscal Year 2023 by outlining several important new issues having to do with UAP research by the DoD’s All-domain Anomaly Resolution Office (AARO), in charge of the UAP study. Resumen En los últimos años, los legisladores estadounidenses han estado muy ocupados con respecto a los ovnis, ahora llamados UAP. En el presente trabajo reviso en detalle la Ley de Autorización de Defensa Nacional (NDAA) para el año fiscal 2023, diseccionando varios asuntos importantes que tienen que ver con la investigación de los UAP por parte de la Oficina de Resolución de Anomalías de Todos los Dominios (AARO) del Departamento de Defensa, que se ocupa del estudio de los UAP.
On the 2021 UAPTF Classified Report
On June 25, 2021, the US Department of Defense released a 9-page “Preliminary Assessment: Unidentified Aerial Phenomena.” It was a public version of a longer classified report prepared for US Congress, a 17-page report that has been released to UFO researcher John Greenewald under FOIA. This UAP report is sanitized and certain words, lines and entire sentences have been redacted by being blacked out to hide information such as military systems and operational details. By comparing both documents chapter by chapter, a number of inferences may be made, both about the document itself and about the differences between the two versions. That is the purpose of this article.
Prelimary Assessment UAP 20210625
This report provides an overview for policymakers of the challenges associated with characterizing the potential threat posed by UAP while also providing a means to develop relevant processes, policies, technologies, and training for the U.S. military and other U.S. Government (USG) personnel if and when they encounter UAP, so as to enhance the Intelligence Community's (IC) ability to understand the threat. The Director, UAPTF, is the accountable official for ensuring the timely collection and consolidation of data on UAP. The dataset described in this report is currently limited primarily to U.S. Government reporting of incidents occurring from November 2004 to March 2021. Data continues to be collected and analyzed.
Internship Report Anomaly Detection in Cloud Applications
2016
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Anomaly Detection in Cloud Applications Javier Alcaraz, Mohamed Kaâniche, Carla Sauvanaud
Recent Progress of Anomaly Detection
Complexity
Anomaly analysis is of great interest to diverse fields, including data mining and machine learning, and plays a critical role in a wide range of applications, such as medical health, credit card fraud, and intrusion detection. Recently, a significant number of anomaly detection methods with a variety of types have been witnessed. This paper intends to provide a comprehensive overview of the existing work on anomaly detection, especially for the data with high dimensionalities and mixed types, where identifying anomalous patterns or behaviours is a nontrivial work. Specifically, we first present recent advances in anomaly detection, discussing the pros and cons of the detection methods. Then we conduct extensive experiments on public datasets to evaluate several typical and popular anomaly detection methods. The purpose of this paper is to offer a better understanding of the state-of-the-art techniques of anomaly detection for practitioners. Finally, we conclude by providing some di...
The Needle in the Haystack: Reflections on the NASA UAP Meeting, May 2023
This article discusses a pivotal NASA meeting held on May 31, 2023, focused on the evaluation and categorization of data related to Unidentified Anomalous Phenomena (UAP). This event, live-streamed to a global audience, explored how to study UAPs using modern data, technology, and scientific tools. The goal of NASA's forthcoming report is to provide a roadmap for future investigation and understanding of UAPs. In this article, we not only summarize the disclosed information but also offer our unique insights and perspectives. We highlight numerous interesting points raised by a panel of 16 leading scientists, question NASA's newfound commitment to studying UAPs—seemingly driven by growing public interest and media coverage—and critique the claim of a stigma surrounding UAP reporting, given the countless UFO sightings reported worldwide.
UGRansome1819: A Novel Dataset For Anomaly Detection and Zero-Day Threats
Information
This research attempts to introduce the production methodology of an anomaly detection dataset using ten desirable requirements. Subsequently, the article presents the produced dataset named UGRansome, created with up-to-date and modern network traffic (netflow), which represents cyclostationary patterns of normal and abnormal classes of threatening behaviours. It was discovered that the timestamp of various network attacks is inferior to one minute and this feature pattern was used to record the time taken by the threat to infiltrate a network node. The main asset of the proposed dataset is its implication in the detection of zero-day attacks and anomalies that have not been explored before and cannot be recognised by known threats signatures. For instance, the UDP Scan attack has been found to utilise the lowest netflow in the corpus, while the Razy utilises the highest one. In turn, the EDA2 and Globe malware are the most abnormal zero-day threats in the proposed dataset. These f...
Advanced Persistent Threats: The Mysterious New Ground for Cyber Danger
Modern Diplomacy, 2019
As the world continues on a path of increased connectivity, control over the cyber domain has become a matter of state security. The sustained loss of wealth in the form of intellectual property theft and financial shenanigans has reached critical mass. As a warning to America, General Keith Alexander, while serving as the Director of the National Security Agency (NSA), stated: “What we need to worry about is when these transition from disruptive to destructive attacks...” He goes on to say: “The conflict is growing, the probability for crisis is mounting.” (Rogin, 2012). In this context, the main danger the “special operations teams” of cyberspace in America is called the Advanced Persistent Threat (APT).
A Generic Review on Anomaly Detection
Lecture notes in electrical engineering, 2022
Detection of anomalies in the data has now emerged as a hot topic among diverse areas for researchers, especially in the cyber security field. Also, it is one of the important aspects of risk management strategies. A broad range of strategies for protecting against these anomalies have been developed in the literature, however certain gaps remain, necessitating the creation of robust detection systems. This article provides a compendium of some anomaly detection techniques explored by the researchers.