The extensive collection and processing of personal information in big data analytics has
given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling …

Advanced Persistent Threats (APTs) are difficult to detect due to their" low-and-slow" attack
patterns and frequent use of zero-day exploits. We present UNICORN, an anomaly-based …

Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

To subvert recent advances in perimeter and host security, the attacker community has
developed and employed various attack vectors to make a malware much stealthier than …

Data Provenance is information about the origin and creation process of data. Such
information is useful for debugging data and transformations, auditing, evaluating the quality …

As the Internet of Things (IoT) continues to proliferate, diagnosing incorrect behavior within
increasingly-automated homes becomes considerably more difficult. Devices and apps may …

Large enterprises are increasingly relying on threat detection softwares (eg, Intrusion
Detection Systems) to allow them to spot suspicious activities. These softwares generate …

In a provenance-aware system, mechanisms gather and report metadata that describes the
history of each object being processed on the system, allowing users to understand how …

Auditing, a central pillar of operating system security, has only recently come into its own as
an active area of public research. This resurgent interest is due in large part to the notion of …

Internet-of-Things (IoT) is a rapidly-growing transformative expansion of the Internet with
increasing influence on our daily life. Since the number of" things" is expected to soon …