Given the pervasiveness of time series data in all human endeavors, and the ubiquity of
clustering as a data mining application, it is somewhat surprising that the problem of time …

Time series data are pervasive across all human endeavors, and clustering is arguably the
most fundamental data mining application. Given this, it is somewhat surprising that the …

A masquerader is an (often external) attacker who, after succeeding in obtaining a legitimate
user's credentials, attempts to use the stolen identity to carry out malicious actions …

In this paper, we consider the problem of masquerade detection, based on user-issued
UNIX commands. We present a novel detection technique based on profile hidden Markov …

This application is directed to an invention (s) that was made as a result of activities
undertaken within the scope of a Joint Research Agreement made between Lockheed …

Although there are many approaches proposed for masquerade detection in the literature,
few of them consider concept drift; the problem of distinguishing malicious behaviours from …

Social agents with finitely nested opponent models are vulnerable to manipulation by agents
with deeper reasoning and more sophisticated opponent modelling. This imbalance, rooted …

In a masquerade attack, an adversary who has stolen a legitimate user's credentials
attempts to impersonate him to carry out malicious actions. Automatic detection of such …

根据Unix 系统中用户的历史命令序列, 提出一种基于命令紧密度模型的用户伪装入侵检测方法.
该方法从命令组合的角度抽取用户的行为模式. 用户经常组合使用的命令, 表现出关系紧密; …

In this chapter, we consider intrusion detection systems (IDS) in the context of an automotive
controller area network (CAN), which is also known as the CAN bus. We provide a …