Results 51 to 60 of about 3,143,718 (149)
Biometric Liveness Detection Using Gaze Information [PDF]
, 2015 This thesis is concerned with liveness detection for biometric systems and in particular for face recognition systems. Biometric systems are well studied and have the potential to provide satisfactory solutions for a variety of applications.
Ali, Asad
core
Deep Reinforcement Learning-Based Adversarial Attack and Defense in Industrial Control Systems
MathematicsAdversarial attacks targeting industrial control systems, such as the Maroochy wastewater system attack and the Stuxnet worm attack, have caused significant damage to related facilities.
Mun-Suk Kim
doaj +1 more source
IDAC: Federated Learning-Based Intrusion Detection Using Autonomously Extracted Anomalies in IoT
SensorsThe recent rapid growth in Internet of Things (IoT) technologies is enriching our daily lives but significant information security risks in IoT fields have become apparent.
Takahiro Ohtani +2 more
doaj +1 more source
Behavioral Fingerprinting of IoT Devices for Forensic Identification Post-Attack
IEEE AccessThe rapid adoption of Internet of Things (IoT) devices has amplified security risks, particularly in post-incident scenarios where accurate device attribution and evidence reconstruction are required.
Laveeza Tahir +5 more
doaj +1 more source
seabass-detection/seabass-detection v.01-alpha
, 2019 <p>Example code and images for paper Using Machine Vision to Estimate Fish Length from Images using Regional Convolutional Neural Networks in journal Methods in Ecology and Evolution.</p ...
seabass-detection
core +1 more source
On the Generalization of Fused Systems in Voice Presentation Attack Detection
, 2017 This paper describes presentation attack detection systems developed for the Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017).
Marcel,Sébastien +4 more
core
DDoS Attack Detection and Attacker Identification
International Journal of Computer Applications, 2012 DDoS attack is a form of DoS attack in which attacker uses authorized user IP address to attack on a particular victim. Of the two types of attack it falls in the active category. The main aim of the attacker is to jam the resources in order to deny services to the recipient. The attacker can use several strategies to achieve this goal, one of which is
S. K. Jena, Brajesh Kashyap
openaire +1 more source
What you can’t see can help you – extended-range imaging for 3D-mask presentation attack detection
, 2017 High-quality custom-made 3D masks are increasing becoming a serious threat to face recognition systems. This threat is driven, in part, by the falling cost of manufacturing such masks.
Marcel,Sébastien, Bhattacharjee,Sushil
core
Machine learning for cyber-attack detection in IoT networks: an overview
The Internet of Things (IoT) is a remarkable technology that allows us to seamlessly integrate billions of smart devices with communication networks to minimize human intervention and enhance system intelligence.
Hoang, DT +4 more
core +1 more source
Strategic Alert Throttling for Intrusion Detection Systems [PDF]
, 2005 Network intrusion detection systems are themselves becoming targets of attackers. Alert flood attacks may be used to conceal malicious activity by hiding it among a deluge of false alerts sent by the attacker.
Tedesco, Gianni +5 more
core +1 more source