Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text. The unpreced...
Automated dynamic malware analysis is a common approach for detecting malicious software. However, many malware samples identify the presence of the analysis environment and evade...
With the booming sale of iOS devices, the number of iOS applications has increased significantly in recent years. To protect the security of iOS users, Apple requires every iOS a...
Many cryptographic security definitions can be naturally formulated as observational equivalence properties. However, existing automated tools for verifying the observational equ...
Today, botnets are still responsible for most large scale attacks on the Internet. Botnets are versatile, they remain the most powerful attack platform by constantly and continuou...
Wentao Chang, Aziz Mohaisen, An Wang, Songqing Che...
In this work we show how the Lucky 13 attack can be resurrected in the cloud by gaining access to a virtual machine co-located with the target. Our version of the attack exploits ...
Gorka Irazoqui Apecechea, Mehmet Sinan Inci, Thoma...
While private browsing is a standard feature, its implementation has been inconsistent among the major browsers. More seriously, it often fails to provide the adequate or even the...
Meng Xu, Yeongjin Jang, Xinyu Xing, Taesoo Kim, We...
Performing detailed forensic analysis of real-world web security incidents targeting users, such as social engineering and phishing attacks, is a notoriously challenging and time-...
Christopher Neasbitt, Bo Li, Roberto Perdisci, Lon...
In order to meet future demands in increasingly congested airspaces, the world’s aviation authorities are currently upgrading their air-traffic management systems. The Automatic...