The evolution from 5G to 6G cellular networks signifies a crucial advancement towards enhanced robustness and automation driven by the promise of ubiquitous Artificial Intelligence (AI) to overhaul network operations, commonly referred to as AIOps. ...

Software debloating seeks to mitigate security risks and improve performance by eliminating unnecessary code. In recent years, a plethora of debloating tools have been developed, creating a dense and varied landscape. Several studies have delved into the ...

Automated software debloating of program source or binary code has tremendous potential to improve both application performance and security. Unfortunately, measuring and comparing the effectiveness of various debloating methods is challenging due ...${\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}}_{}$

Ransomware attacks continue to be a prominent cybersecurity threat and the subject of considerable research activity. Despite frequent high profile public reports of ransomware attacks, we found a paucity of tangible open behavioral activity data for ...

Containers are lightweight mechanisms for the isolation of operating system resources. They are realized by activating a set of namespaces. Given the use of containers in scientific computing, tracking and managing provenance within and across containers ...

Multiple Perspective attack Investigation (<sc>MPI</sc>) is a technique to partition application dependencies based on high-level semantics. It facilitates provenance analysis by generating succinct causal graphs. It involves an annotation process that ...

Leveraging scalable pointer analysis, value analysis, and dynamic analysis.

OCCAM-v2 leverages scalable pointer analysis, value analysis, and dynamic analysis to create an effective and efficient tool for specializing LLVM bitcode. The extent of the code-size reduction achieved depends on the specific deployment configuration. ...

We present Trimmer, a state-of-the-art tool for reducing code size. Trimmer reduces code sizes by specializing programs with respect to constant inputs provided by developers. The static data can be provided as command-line options or through ...

In scientific computing and data science disciplines, it is often necessary to share application workflows and repeat results. Current tools containerize application workflows, and share the resulting container for repeating results. These tools, due to ...

A user interface for querying provenance.

Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is different from the graph-oriented one that is natural for ...

Host-based anomaly detectors generate alarms by inspecting audit logs for suspicious behavior. Unfortunately, evaluating these anomaly detectors is hard. There are few high-quality, publicly-available audit logs, and there are no pre-existing frameworks ...

Scientific applications often depend on data produced from computational models. Model-generated data can be prohibitively large. Current mechanisms for sharing and distributing reproducible applications, such as containers, assume all model data is ...

Reproducing experiments entails repeating experiments with changes. Changes, such as a change in input arguments, a change in the invoking environment, or a change due to nondeterminism in the runtime may alter results. If results alter significantly, ...

Data provenance describes the origins of a digital object. Such information is particularly useful when analyzing distributed workflows because extant tools, such as debuggers and application profilers, do not support tracing through heterogeneous ...

Data provenance is a kind of meta-data recording inputs, entities and processes. It provides historical records and origin information of the data. Because of the rich information provided, provenance is increasingly being used as a foundation for ...

System level provenance is of widespread interest for applications such as security enforcement and information protection. However, testing the correctness or completeness of provenance capture tools is challenging and currently done manually. In some ...

We conducted a longitudinal study to analyze the misuse of Bitcoin. We first investigated usage characteristics of Bitcoin by analyzing how many addresses each address transacts with (from January 2009 to May 2018). To obtain a quantitative ...

An advanced persistent threat (APT) is a stealthy malware instance that gains unauthorized access to a system and remains undetected for an extended time period. The aim of this work is to evaluate the feasibility of applying advanced machine learning ...