Mitre Corporation

About: Mitre Corporation is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Air traffic control & National Airspace System. The organization has 4884 authors who have published 6053 publications receiving 124808 citations. The organization is also known as: Mitre & MITRE.

Artificial Intelligence for Society

Abstract: Based on papers presented at the Artificial Intelligence for Society conference held in July 1985, this volume forms the basis for discussing social, educational, economic, cultural and moral issues resulting from AI developments. It critically examines the relative neglect and AI and IT developments to enhance general human competences. The implications for society of adopting interactive technologies such as: intelligent knowledge based systems, expert systems, logic programming, computer assisted learning, computer based training, visual communication and interactive video systems are far reaching. As such this volume addresses issues crucial to practitioners in education, training, health and welfare, and provides a useful perspective for social scientists, computer professionals, artists and designers and all concerned with the impact of AI and IT developments.

Adaptation of Reputation Management Systems to Dynamic Network Conditions in Ad Hoc Networks

Abstract: Reputation management systems have been proposed as a cooperation enforcement solution in ad hoc networks. Typically, the functions of reputation management (evaluation, detection, and reaction) are carried out homogeneously across time and space. However, the dynamic nature of ad hoc networks causes node behavior to vary both spatially and temporally due to changes in local and network-wide conditions. When reputation management functions do not adapt to such changes, their effectiveness, measured in terms of accuracy (correct identification of node behavior) and promptness (timely identification of node misbehavior), may be compromised. We propose an adaptive reputation management system that realizes that changes in node behavior may be driven by changes in network conditions and that accommodates such changes by adapting its operating parameters. We introduce a time-slotted approach to allow the evaluation function to quickly and accurately capture changes in node behavior. We show how the duration of an evaluation slot can adapt according to the network's activity to enhance the system accuracy and promptness. We then show how the detection function can utilize a Sequential Probability Ratio Test (SPRT) to distinguish between cooperative and misbehaving neighbors. The SPRT adapts to changes in neighbors' behavior that are a by-product of changing network conditions, by using the node's own behavior as a benchmark. We compare our proposed solution to a nonadaptive system, showing the ability of our system to achieve high accuracy and promptness in dynamic environments. To the best of our knowledge, this is the first work to explore the adaptation of the reputation management functions to changes in network conditions.

The VAD tree: A process-eye view of physical memory

Abstract: This paper describes the use of the Virtual Address Descriptor (VAD) tree structure in Windows memory dumps to help guide forensic analysis of Windows memory. We describe how to locate and parse the structure, and show its value in breaking up physical memory into more manageable and semantically meaningful units than can be obtained by simply walking the page directory for the process. Several tools to display information about the VAD tree and dump the memory regions it describes will also be presented.

A decomposition of UAV-related situation awareness

Abstract: This paper presents a fine-grained decomposition of situation awareness (SA) as it pertains to the use of unmanned aerial vehicles (UAVs), and uses this decomposition to understand the types of SA attained by operators of the Desert Hawk UAV. Since UAVs are airborne robots, we adapt a definition previously developed for human-robot awareness after learning about the SA needs of operators through observations and interviews. We describe the applicability of UAV-related SA for people in three roles: UAV operators, air traffic controllers, and pilots of manned aircraft in the vicinity of UAVs. Using our decomposition, UAV interaction designers can specify SA needs and analysts can evaluate a UAV interface's SA support with greater precision and specificity than can be attained using other SA definitions.