activity
20172023
most citedCyNER: A Python Library for Cybersecurity Named Entity Recognition

24 citations · 77 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CR2023★ 8 cited

Systemic Risk and Vulnerability Analysis of Multi-cloud Environments

Morgan Reece, Theodore Edward Lander, Matthew Stoffolano +4

With the increasing use of multi-cloud environments, security professionals face challenges in configuration, management, and integration due to uneven security capabilities and fe…

cs.CR2022★ 2 cited

Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI

Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park +1

Public and commercial organizations extensively share cyberthreat intelligence (CTI) to prepare systems to defend against existing and emerging cyberattacks. However, traditional C…

cs.CR2022★ 14 cited

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability

Dipkamal Bhusal, Rosalyn Shin, Ajay Ashok Shewale +4

Interpretability, trustworthiness, and usability are key considerations in high-stake security applications, especially when utilizing deep learning models. While these models are…

cs.CR2022★ 24 cited

CyNER: A Python Library for Cybersecurity Named Entity Recognition

Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park +1

Open Cyber threat intelligence (OpenCTI) information is available in an unstructured format from heterogeneous sources on the Internet. We present CyNER, an open-source python libr…

cs.CR2022★ 1 cited

Adversarial Patterns: Building Robust Android Malware Classifiers

Dipkamal Bhusal, Nidhi Rastogi

Machine learning models are increasingly being adopted across various fields, such as medicine, business, autonomous vehicles, and cybersecurity, to analyze vast amounts of data, d…

cs.CR2022★ 4 cited

Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles

Nidhi Rastogi, Sara Rampazzi, Michael Clifford +3

Connected autonomous vehicles (CAVs) are anticipated to have built-in AI systems for defending against cyberattacks. Machine learning (ML) models form the basis of many such AI sys…

cs.CR2021★ 1 cited

DANTE: Predicting Insider Threat using LSTM on system logs

Nidhi Rastogi, Qicheng Ma

Insider threat is one of the most pernicious threat vectors to information and communication technologies (ICT)across the world due to the elevated level of trust and access that a…

cs.CR2021★ 3 cited

Malware Knowledge Graph Generation

Sharmishtha Dutta, Nidhi Rastogi, Destin Yee +2

Cyber threat and attack intelligence information are available in non-standard format from heterogeneous sources. Comprehending them and utilizing them for threat intelligence extr…

cs.CR2021★ 2 cited

TINKER: A framework for Open source Cyberthreat Intelligence

Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki +2

Threat intelligence on malware attacks and campaigns is increasingly being shared with other security experts for a cost or for free. Other security analysts use this intelligence…

cs.CR2020

MALOnt: An Ontology for Malware Threat Intelligence

Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki +2

Malware threat intelligence uncovers deep information about malware, threat actors, and their tactics, Indicators of Compromise(IoC), and vulnerabilities in different platforms fro…

cs.AI2020★ 1 cited

Personal Health Knowledge Graphs for Patients

Nidhi Rastogi, Mohammed J. Zaki

Existing patient data analytics platforms fail to incorporate information that has context, is personal, and topical to patients. For a recommendation system to give a suitable res…

cs.CR2019★ 2 cited

Exploring Information Centrality for Intrusion Detection in Large Networks

Nidhi Rastogi

Modern networked systems are constantly under threat from systemic attacks. There has been a massive upsurge in the number of devices connected to a network as well as the associat…

cs.DC2017★ 2 cited

Security and Privacy of performing Data Analytics in the cloud - A three-way handshake of Technology, Policy, and Management

Nidhi Rastogi, Marie Joan Kristine Gloria, James Hendler

Cloud platform came into existence primarily to accelerate IT delivery and to promote innovation. To this point, it has performed largely well to the expectations of technologists,…

cs.CR2017★ 1 cited

Graph Analytics for anomaly detection in homogeneous wireless networks - A Simulation Approach

Nidhi Rastogi, James Hendler

In the Internet of Things (IoT) devices are exposed to various kinds of attacks when connected to the Internet. An attack detection mechanism that understands the limitations of th…

cs.CR2017★ 12 cited

WhatsApp security and role of metadata in preserving privacy

Nidhi Rastogi, James Hendler

WhatsApp messenger is arguably the most popular mobile app available on all smart-phones. Over one billion people worldwide for free messaging, calling, and media sharing use it. I…