Results 61 to 70 of about 3,143,718 (149)
Directional Sensitivity of Gaze-Collinearity Features in Liveness Detection [PDF]
To increase the trust in using face recognition systems, these need to be capable of differentiating between face images captured from a real person and those captured from photos or similar artifacts presented at the sensor.
Ali, Asad +5 more
core +1 more source
In response to the difficulty of existing attack detection methods in dealing with advanced persistent threat (APT) with longer durations, complex and covert attack methods, a model for APT attack detection based on attention mechanisms and provenance ...
Yuancheng LI +3 more
doaj +2 more sources
Research on wormhole attacks in wireless mesh networks
In order to detect the wormhole attacks effectively in wireless mesh network,a wormhole attack model ac-cording to the MR-LQSR(multi-radio link-quality source routing) protocol proposed by Microsoft was presented.Then,the characteristics of wireless mesh
FU Ying-fang1 +3 more
doaj +2 more sources
Data mining based cyber-attack detection [PDF]
Detecting cyber-attacks undoubtedly has become a big data problem. This paper presents a tutorial on data mining based cyber-attack detection. First, a data driven defence framework is presented in terms of cyber security situational awareness. Then, the
Tianfield, Huaglory
core +3 more sources
Attack detection model for BCoT based on contrastive variational autoencoder and metric learning
With development of blockchain technology, clouding computing and Internet of Things (IoT), blockchain and cloud of things (BCoT) has become development tendency. But the security has become the most development hinder of BCoT.
Chunwang Wu +6 more
doaj +1 more source
Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples
As a new programming paradigm, deep learning (DL) has achieved impressive performance in areas such as image processing and speech recognition, and has expanded its application to solve many real-world problems. However, neural networks and DL are normally black-box systems; even worse, DL-based software are vulnerable to threats from ...
Zhe Zhao 0007 +6 more
openaire +3 more sources
MalwareLab: Experimentation with Cybercrime Attack Tools [PDF]
Cybercrime attack tools (i.e. Exploit Kits) are reportedly responsible for the majority of attacks affecting home users. Exploit kits are traded in the black markets at different prices and advertising different capabilities and functionalities.
Allodi, Luca +2 more
core
Assessing Industrial Control System Attack Datasets for Intrusion Detection
With the rapid development of networks and computers, industrial control systems (ICS) have become more interconnected. Many ICS are allowed remote interactions through the Internet. This increases the security risks of being attacked.
Xuelei Wang +3 more
core +1 more source
The diploma thesis is focused on the detection of a slow DoS attack named SlowDrop. The attack tries to imitate a legitimate person with a slow internet connection and does not show a new strong signature, so the attack is difficult to detect.
Náčin, Peter
core
"Protecting Higher Education from Attack” (with M. Novelli)
While there is a growing body of work investigating the scale, nature and impact of attacks on children and schools, far less attention has been placed on attacks on higher education, and still less on the protection and prevention measures that are ...
Selenica Ervjola
core +1 more source

