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ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships [article]

Bobby Filar, David French
2020 arXiv   pre-print
Advanced attacker techniques, like "living off the land" that appear normal in isolation become more suspicious when observed in a parent-child context.  ...  ProblemChild applies a supervised learning classifier to derive a weighted graph used to identify communities of seemingly disparate events into larger attack sequences.  ...  While detectors based on heuristics perform well in identifying a singular living off the land technique, we believe there is an opportunity for machine learning to help reduce and rank the event data  ... 
arXiv:2008.04676v1 fatcat:tcuxzbvfkveohbjsvmxxkoevvq

An Intelligent Autopilot System that learns flight emergency procedures by imitating human pilots

Haitham Baomar, Peter J. Bentley
2016 2016 IEEE Symposium Series on Computational Intelligence (SSCI)  
The control models imitate the skills of the human pilot when handling flight emergencies including engine(s) failure or fire, Rejected Take Off (RTO), and emergency landing, while a flight manager program  ...  A robust Learning by Imitation approach is proposed which uses human pilots to demonstrate the task to be learned in a flight simulator while training datasets are captured from these demonstrations.  ...  ሺ‫ݔ‬ሻ ൌ ଵ ଵା షೣ (1) ݂ሺ‫ݔ‬ሻ ൌ మೣ ି ଵ మೣ ା ଵ (2) The Sigmoid activation function (1) is used by the Taxi Speed Gain ANN, Take Off ANN, Emergency Landing Altitude ANN, Rejected Take Off ANN, and the Fire  ... 
doi:10.1109/ssci.2016.7849881 dblp:conf/ssci/BaomarB16 fatcat:sb5bio67efafdivnw22iin3mzm

Solar Powered Wireless Intrusion Detection System in Agricultural Farms

Rohan Paranjpe, Hiralal Purohit, Rohan Joshi
2019 International Journal of Computer Applications  
This problem is rising at an alarming rate as due to deforestation the animals living in the region wander off in the human territory.  ...  Farmers have to guard their agricultural lands throughout the chilly weather or unforgiving heat at night.  ...  This work proposes the use of an IoT based intrusion detection system that uses active sensors to detect the presence of intruders and logs such intrusions for monitoring purposes [1] .  ... 
doi:10.5120/ijca2019918918 fatcat:isoe6qlrerdenfwvox4f536gui

A Vision-Based Neural Network Controller for the Autonomous Landing of a Quadrotor on Moving Targets

Abdullah Almeshal, Mohammad Alenezi
2018 Robotics  
The simulation and experimental results show the successful control of the quadrotor in autonomously landing on both fixed and moving landing platforms.  ...  The utilization of robotic solutions to speed up search missions would help save the lives of humans who are in need of help as quickly as possible.  ...  The activation function is a sigmoid function µ(.) and is defined as g(x) = 1 1 + e −x (7) The weights are obtained by using a supervised learning mechanism; the training process aims to minimize the error  ... 
doi:10.3390/robotics7040071 fatcat:vjx4f3aupreyvjvj56q6whatde

A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS [article]

Bochan Lee, Vishnu Saj, Moble Benedict, Dileep Kalathil
2020 arXiv   pre-print
A computer vision system using a single monocular camera is developed to detect the visual cue and then accurately estimate the heading of the UAV and its relative distances in all three directions to  ...  The paper discusses a novel vision-based estimation and control approach to enable fully autonomous tracking and landing of vertical take-off and landing (VTOL) capable unmanned aerial vehicles (UAVs)  ...  It is basically a scaled-down version of the horizon reference bar used for ship landing. The green bar is detected using an HSV (hue, saturation, value) filter (Ref. 20) .  ... 
arXiv:2008.05699v3 fatcat:znwhyfeggfhm5goncluml2i7na

Design of a Voice Based Intelligent Prototype Model for Automatic Control of Multiple Home Appliances

Akanbi Caleb Olufisoye, Oladeji D O
2016 Transactions on Machine Learning and Artificial Intelligence  
The design transmits voice command through user wireless microphone (attached to the user cloth) to the intelligence micro controller via graphical user interphase (GUI).  ...  The control software developed for the prototype model was implemented using C# programming language, Microsoft Visual Studio.Net and Microsoft Speech recognition system.  ...  In this case either to ON/OFF/ ACTIVATE/TERMINATE a light bulb, ON/OFF/ ACTIVATE/TERMINATE a fan.  ... 
doi:10.14738/tmlai.42.1899 fatcat:uq76lvv6pverxkrccej5jtjv2m

APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts [article]

Tiantian Zhu, Jinkai Yu, Tieming Chen, Jiayu Wang, Jie Ying, Ye Tian, Mingqi Lv, Yan Chen, Yuan Fan, Ting Wang
2021 arXiv   pre-print
Advanced Persistent Threat (APT) attack usually refers to the form of long-term, covert and sustained attack on specific targets, with an adversary using advanced attack techniques to destroy the key facilities  ...  system; In the aspect of attack detection, an APT attack detection framework based on ATT\&CK model is designed to carry out real-time attack response and alarm through the transfer and aggregation of  ...  L-3: Living-off-the-land attack from vulnerable service.  ... 
arXiv:2112.09008v2 fatcat:h6hjshxnebdldidhgp2uwkw6du

Single-handed gesture UAV control and video feed AR visualization for first responders

Dimitrios Sainidis, Dimitrios Tsiakmakis, Konstantinos Konstantoudakis, Georgios Albanis, Anastasios Dimou, Petros Daras
2021 Zenodo  
UAVs can be of particular benefit to first responders, assisting in both hazard detection and search-and-rescue operations, increasing their situational awareness without endangering human personnel; However  ...  A modular architecture allows the upgrade or replacement of individual modules without affecting the whole. The presented system has been tested in the lab, and in field trials by first responders.  ...  The authors would like to thank the Hellenic Rescue Team Attica for testing the proposed system and providing valuable feedback.  ... 
doi:10.5281/zenodo.6463057 fatcat:4jd2iygocvel3hye22r7tirps4

Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers

Miguel Olivares-Mendez, Changhong Fu, Philippe Ludivig, Tegawendé Bissyandé, Somasundar Kannan, Maciej Zurad, Arun Annaiyan, Holger Voos, Pascual Campoy
2015 Sensors  
Our work is focused on the use of vision sensors on UAVs for the detection and tracking of animals and poachers, as well as the use of such sensors to control quadrotors during autonomous vehicle following  ...  and autonomous landing.  ...  Acknowledgments: The authors would like to acknowledge Raphael Hinger from the University of Luxembourg for the technical support.  ... 
doi:10.3390/s151229861 pmid:26703597 pmcid:PMC4721781 fatcat:bet4xfe7a5bkdb6swiyuhrdzma

Survivalism: Systematic Analysis of Windows Malware Living-Off-The-Land

Frederick Barr-Smith, Xabier Ugarte-Pedrero, Mariano Graziano, Riccardo Spolaor, Ivan Martinovic
2021 2021 IEEE Symposium on Security and Privacy (SP)  
Anecdotal evidence claims Living-Off-The-Land (LotL) techniques are one of the major evasion techniques used in many malware attacks.  ...  We present the first large-scale systematic investigation of the use of these techniques by malware on Windows systems.  ...  The term 'Living-Off-The-Land' has historically been used to represent the concept of feeding (or living off) what the land can provide, either by farming or hunting.  ... 
doi:10.1109/sp40001.2021.00047 fatcat:lv5uutsztrf33e7iwbzuhu4d4i

Lessons learned from autonomous sciencecraft experiment

Steve Chien, Bruce Trout, Jeff D'Agostino, Seth Shulman, Darrell Boyer, Sandra Hayden, Adam Sweet, Scott Christa, Rob Sherwood, Daniel Tran, Benjamin Cichy, Gregg Rabideau (+4 others)
2005 Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05  
This software enables the spacecraft to autonomously detect and responds to science events occurring on the Earth such as volcanoes, flooding, and snow melt.  ...  The package includes AI-based software systems that perform science data analysis, deliberative planning, and run-time robust execution. This software is in routine use to fly the EO-1 mission.  ...  Acknowledgement Portions of this work were performed at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.  ... 
doi:10.1145/1082473.1082798 dblp:conf/atal/ChienSTCRCDMFTDSBHSC05 fatcat:7shyhfyv3jdz5idrsdngtcrz4q

Inducing gaze gestures by static illustrations

Päivi Majaranta, Jari Laitinen, Jari Kangas, Poika Isokoski
2019 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications - ETRA '19  
By looking at the parts of the drawing, the user's gaze composed a gaze gesture that activated a command. We organized a proof-of-concept trial to see how intuitive the idea is.  ...  In gesture-based user interfaces, the effort needed for learning the gestures is a persistent problem that hinders their adoption in products.  ...  Learning the mapping between gestures and commands is a problem that reduces the use of gestural user interfaces.  ... 
doi:10.1145/3317956.3318151 dblp:conf/etra/MajarantaLKI19 fatcat:up4kgkru7vcwnovveoslxvgev4

Enhancing Science and Automating Operations Using Onboard Autonomy [chapter]

2007 Space Operations: Mission Management, Technologies, and Current Applications  
This software has demonstrated the potential for space missions to use onboard decision-making to detect, analyze, and respond to science events, and to downlink only the highest value science data.  ...  This software enables the spacecraft to autonomously detect, track, and respond to science events observed in instrument data.  ...  Lessons Learned We learned some important lessons related to the processing capability for using autonomous science onboard.  ... 
doi:10.2514/5.9781600866890.0323.0344 fatcat:nvdsxiy5xfeujj6h5dtzq3v6em

Using Autonomy Flight Software to Improve Science Return on Earth Observing One

Steve Chien, Rob Sherwood, Daniel Tran, Benjamin Cichy, Gregg Rabideau, Rebecca Castano, Ashley Davis, Dan Mandl, Bruce Trout, Seth Shulman, Darrell Boyer
2005 Journal of Aerospace Computing Information and Communication  
The Autonomous Sciencecraft Experiment (ASE) enables the spacecraft to autonomously detect and respond to dynamic scientifically interesting events observed from EO-1's low earth orbit.  ...  In this article we describe the autonomy flight software, as well as innovative solutions to the challenges presented by autonomy, reliability, and limited computing resources.  ...  Acknowledgment We would like to thank the complete ASE Team including Rachel Lee (  ... 
doi:10.2514/1.12923 fatcat:c3ha37tpmrhd7myvz6p46ovjva

Autonomous Human-Vehicle Leader-Follower Control Using Deep-Learning-Driven Gesture Recognition

Joseph Schulte, Mark Kocherovsky, Nicholas Paul, Mitchell Pleune, Chan-Jin Chung
2022 Vehicles  
We successfully developed a modular pipeline that uses artificial intelligence/deep learning to recognize hand-and-body gestures from a user in view of the vehicle's camera and translate those gestures  ...  Results show that our modular pipeline design reliably recognizes human body language and translates the body language into LFA commands in real time.  ...  Acknowledgments: The authors thank the Department of Mathematics and Computer Science and the College of Arts and Sciences at Lawrence Technological University for administrative and financial support.  ... 
doi:10.3390/vehicles4010016 fatcat:z3zemthfunetboq5cjg736iife
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