Traditional Intrusion Detection Systems (IDS) cannot cope with the increasing number and
sophistication of cyberattacks such as Advanced Persistent Threats (APT). Due to their high …

Intrusion detection is an arms race; attackers evade intrusion detection systems by
develo** new attack vectors to sidestep known defense mechanisms. Provenance …

Efficient intrusion detection and analysis of the security landscape in big data environments
present challenge for today's users. Intrusion behavior can be described by provenance …

It is increasingly important and a big challenge to detect intrusion behavior variants in
today's world. Previous host-based intrusion detection methods typically explore the …

As modern attack methods become more concealed and complex, obtaining many labeled
samples in big data streams is difficult. Active learning has long been used to achieve better …

Provenance has been of interest to the Computer Science community for nearly two
decades, with proposed uses ranging from data authentication, to security auditing, to …

The Function-as-a-Service cloud computing paradigm has made large-scale application
development convenient and efficient as developers no longer need to deploy or manage …

The first step to improving an organization's security posture is to define the organization's
security goals. At a technical level, these goals are expressed as security policies. Security …

BOSTON UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES Dissertation A
DEPENDENTLY TYPED PROGRAMMING LANGUAGE WITH DYNAMIC EQUALI Page 1 …

Data provenance analysis has been used as an assistive measure for ensuring system
integrity. However, such techniques are typically reactive approaches to identify the root …