We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
The efficiency of promptly releasing security alerts of established analysis centers has been greatly challenged by the continuous emergence of various large scale network attack...
Abstract. Link discovery is a process of identifying association(s) among different entities included in a complex network structure. These association(s) may represent any interac...
Xiaoyun He, Basit Shafiq, Jaideep Vaidya, Nabil R....
Occasional corruption of stored data is an unfortunate byproduct of the complexity of modern systems. Hardware errors, software bugs, and mistakes by human administrators can corr...
SQL injection attacks (SQLIAs) consist of maliciously crafted SQL inputs, including control code, used against Databaseconnected Web applications. To curtail the attackers’ abil...
Anyi Liu, Yi Yuan, Duminda Wijesekera, Angelos Sta...