Patent application number | Description | Published |
20100319031 | HOT VIDEO PREDICTION SYSTEM BASED ON USER INTERESTS SOCIAL NETWORK - A hot video prediction system is provided. A video comments database stores video comments submitted by a plurality of users. A user social network constructor establishes a user social network according to the video comments. When new comments of a new video are received, a hot video predictor uses the user social network to determine a similar theme between the new video and hot videos that have been hot for a period of time, and predicts whether the new video will become popular accordingly. A social network adaptor checks the prediction, and modifies the user social network accordingly. | 12-16-2010 |
20110004936 | BOTNET EARLY DETECTION USING HYBRID HIDDEN MARKOV MODEL ALGORITHM - A botnet detection system is provided. A bursty feature extractor receives an Internet Relay Chat (IRC) packet value from a detection object network, and determines a bursty feature accordingly. A Hybrid Hidden Markov Model (HHMM) parameter estimator determines probability parameters for a Hybrid Hidden Markov Model according to the bursty feature. A traffic profile generator establishes a probability sequential model for the Hybrid Hidden Markov Model according to the probability parameters and pre-defined network traffic categories. A dubious state detector determines a traffic state corresponding to a network relaying the IRC packet in response to reception of a new IRC packet, determines whether the IRC packet flow of the object network is dubious by applying the bursty feature to the probability sequential model for the Hybrid Hidden Markov Model, and generates a warning signal when the IRC packet flow is regarded as having a dubious traffic state. | 01-06-2011 |
20110185420 | DETECTION METHODS AND DEVICES OF WEB MIMICRY ATTACKS - A web mimicry attack detection device is provided, including: a first token sequence collector receiving a hypertext transfer protocol request and extracting string content of the hypertext transfer protocol request according to a token collection method to generate a token sequence corresponding to the hypertext transfer protocol request, wherein the token sequence comprises a plurality of the tokens; and a mimicry attack detector generating a label and a confidence score corresponding individually to the tokens according to the tokens and a conditional random field probability model, summing the confidence score individually corresponding to the tokens in the token sequence by a summary rule to generate a summary confidence score, and determining whether the hypertext transfer protocol request is an attack according to the summary confidence score and the label individually corresponding to the tokens. | 07-28-2011 |
20110185425 | NETWORK ATTACK DETECTION DEVICES AND METHODS - A network attack detection device is provided, including a spatial coordinate database for storing spatial coordinate data; a standard time zone database for storing standard time zone data; a domain name system packet collector for collecting a domain name system packet; a spatial snapshot feature extractor for extracting internet protocol address corresponding to the domain name system packet according to the domain name system packet, and generating spatial feature data corresponding to the internet protocol address according to the internet protocol address, the spatial coordinate data and the standard time zone data; and an attack detector for determining whether the domain name system packet is an attack according to the spatial feature data and a spatial snapshot detection model, and when determining that the domain name system packet is an attack, sending a warning to indicate the attack. | 07-28-2011 |
20120159629 | METHOD AND SYSTEM FOR DETECTING MALICIOUS SCRIPT - A method for detecting a malicious script is provided. A plurality of distribution eigenvalues are generated according to a plurality of function names of a web script. After the distribution eigenvalues are inputted to a hidden markov model (HMM), probabilities respectively corresponding to a normal state and an abnormal state are calculated. Accordingly, whether the web script is malicious or not can be determined according to the probabilities. Even an attacker attempts to change the event order, insert a new event or replace an event with a new one to avoid detection, the method can still recognize the intent hidden in the web script by using the HMM for event modeling. As such, the method may be applied in detection of obfuscated malicious scripts. | 06-21-2012 |
20130055400 | METHOD FOR GENERATING CROSS-SITE SCRIPTING ATTACK - A method for generating a cross-site scripting attack is provided. An attack string sample is analyzed for obtaining a token sequence. A string word corresponding to each token is used to replace the token for generating a cross-site scripting attack string. Accordingly, a large number of cross-site scripting attacks are generated automatically, so as to execute a penetration test for a website. | 02-28-2013 |
20130268675 | Method and System for Tracing Domain Names and Computer Readable Storage Medium Storing the Method - A method for tracing at least one domain name is disclosed. In the method, several DNS resource records of candidate domain names are queried from at least one DNS name server. The candidate domain names are domain names that need to be traced. Internet Protocol (IP) addresses associated with the candidate domain names are retrieved from the DNS resource records of the candidate domain names. At least one external resource server is connected to retrieve corresponding registration information of the respective IP addresses of the candidate domain names. A tracing weight of each of the candidate domain names is calculated according to the DNS resource records, the IP addresses and the corresponding registration information of the candidate domain names. The candidate domain names are traced according to their respective tracing weights. A system for tracing at least one domain name is also disclosed. | 10-10-2013 |
20140181973 | METHOD AND SYSTEM FOR DETECTING MALICIOUS APPLICATION - A malicious applications detection method is provided. The method includes: extracting a plurality of static features from a manifest file and a de-compiled code respectively obtained from a plurality of training malicious applications (APK files) and a plurality of training benign applications (APK files); generating at least one malicious application group using a clustering algorithm and generating at least one benign application group; generating application detecting models respectively representing the malicious and benign application groups based on static features of the training malicious and benign applications in each malicious application group and each benign application group; extracting target static features from a target manifest file and a target de-compiled code of a target application; using a classification algorithm, the target static features, and the application detecting models to determine whether the target application belongs to the malicious application group; and generating a warning message when a determination result is positive. | 06-26-2014 |