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Found 13 papers, 2 papers with code
Action2Score: An Embedding Approach To Score Player Action
In most MOBA games, a player's rank is determined by the match result (win or lose).
Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks
As a result, our model yields high regression error given a sequence of aggressive driver behavior and low error given at a sequence of normal driver behavior.
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks
In this paper, we present an intrusion detection method for detecting audio-video transport protocol (AVTP) stream injection attacks in automotive Ethernet-based networks.
Understand Watchdogs: Discover How Game Bot Get Discovered
This provides us explanations about the game bots' behavior, and the truthfulness of the explanations has been evaluated.
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort
As unsupervised learning does not require labeling, our model let the practitioner not to label every type of attack from the flight data.
This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks
GAN has merit to build identification model by learning the owner driver's data only.
Automobile Theft Detection by Clustering Owner Driver Data
We cluster the key features of the owner driving data using the k-means algorithm.
Show Me Your Account: Detecting MMORPG Game Bot Leveraging Financial Analysis with LSTM
To overcome this limitation, we propose improved bot detection method with financial analysis.
Andro-Simnet: Android Malware Family Classification Using Social Network Analysis
To maintain high classification accuracy, we propose a process to derive the optimal weights of the selected features in the proposed similarity measure.
Cryptography and Security
Detecting and Classifying Android Malware using Static Analysis along with Creator Information
Guided by this insight, we propose a method to improve on the performance of Android malware detection by incorporating the creator's information as a feature and classify malicious applications into similar groups.
Cryptography and Security
ADSaS: Comprehensive Real-time Anomaly Detection System
Since with massive data growth, the need for autonomous and generic anomaly detection system is increased.
Know Your Master: Driver Profiling-based Anti-theft Method
In our model, we add mechanical features of automotive parts that are excluded in previous works, but can be differentiated by drivers' driving behaviors.
Andro-profiler: Detecting and Classifying Android Malware based on Behavioral Profiles
Mass-market mobile security threats have increased recently due to the growth of mobile technologies and the popularity of mobile devices.
Cryptography and Security
