Recently there have been wide interests in speaker verification for various applications. Although the reported equal error rate (EER) is relatively low, many evidences show that the present speaker verification technologies can be susceptible to malicious spoofing attacks. Inspired by the great success of deep learning in the automatic speech recognition, deep neural network (DNN) based approa...

Recently there have been wide interests in speaker verification for various applications. Although the reported equal error rate (EER) is relatively low, many evidences show that the present speaker verification technologies can be susceptible to malicious spoofing attacks. Inspired by the great success of deep learning in the automatic speech recognition, deep neural network (DNN) based approa...

Filtering out traffic with forged source address on routers can significantly improve the security of Internet. However, despite intermittent IP spoofing attacks, existing filtering mechanisms inspect each packet all the time, consuming considerable resource on routers even there is no spoofing at all. This article considers the requirement for a solution performing IP spoofing filtering with a...

A spoofing attack is a situation in which one person successfully masquerades as another by falsifying data and gaining illegitimate access. Spoofing attacks are of several types such as photograph, video or mask. Biometrics are playing the role of a password which cannot be replaced if stolen, so there is the necessity of counter-measures to biometric spoofing attacks. Face biometric systems a...

The ASVspoof initiative follows on from the first special session in spoofing and countermeasures for automatic speaker verification (ASV) held during the 2013 edition of INTERSPEECH in Lyon, France [1]. The vision behind that first edition was to promote the consideration of spoofing, to encourage the development of anti-spoofing countermeasures and to gather a community to design, collect and...

The pilot spoofing attack is considered as an active eavesdropping activity launched by an adversary during the reverse channel training phase. By transmitting the same pilot signal as the legitimate user, the pilot spoofing attack is able to degrade the quality of legitimate transmission and, more severely, facilitate eavesdropping. In an effort to detect the pilot spoofing attack and minimize...

Forging, or ”spoofing,” the source addresses of IP packets provides malicious parties with anonymity and novel attack vectors. Spoofing-based attacks complicate network operator’s defense techniques; tracing spoofing remains a difficult and largely manual process. More sophisticated next generation distributed denial of service (DDoS) attacks may test filtering policies and adaptively attempt t...

Voice controlled systems (VCS) in Internet of Things (IoT), speaker verification systems, voice-based biometrics, and other voice-assistant-enabled are vulnerable to different spoofing attacks i.e., replay, cloning, cloned-replay, etc. VCS not only susceptible these a non-network environment, but they also multi-order networked IoT. Additionally, deepfakes with artificially generated audio pose...

We study the problem of designing spoofing signals to corrupt and mislead the output of a Kalman filter. Unlike existing works that focus on detection and filtering algorithms for the observer, we study the problem from the attacker’s point-of-view. In our model, the attacker can corrupt the measurements by adding spoofing signals. The attacker seeks to create a separation between the estimate ...