Publications

Cyber-Insurance: Past, Present and Future

Insurance, in general, is a financial contract between the one buying the insurance (also known as the policyholder or insured) and the one providing insurance (known as insurance carrier or insurer). The contract, known as the insurance policy, …

Data-Driven Decision Support for Optimizing Cyber Forensic Investigations

Cyber attacks consisting of several attack actions can present considerable challenge to forensic investigations. Consider the case where a cybersecurity breach is suspected following the discovery of one attack action, for example by observing the …

Self-Configurable Cyber-Physical Intrusion Detection for Smart Homes Using Reinforcement Learning

The modern Internet of Things (IoT)-based smart home is a challenging environment to secure: devices change, new vulnerabilities are discovered and often remain unpatched, and different users interact with their devices differently and have different …

How Secure is Home: Assessing Human Susceptibility to IoT Threats

ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid

The advent of the Smart Grid (SG) raises severe cybersecurity risks that can lead to devastating consequences. In this paper, we present a novel anomaly-based Intrusion Detection System (IDS), called ARIES (smArt gRid Intrusion dEtection System), …

SECONDO: A Platform for Cybersecurity Investments and Cyber Insurance Decisions

This paper represents the SECONDO framework to assist organizations with decisions related to cybersecurity investments and cyber-insurance. The platform supports cybersecurity and cyber-insurance decisions by implementing and integrating a number of …

Cache-Based Privacy Preserving Solution for Location and Content Protection in Location-Based Services

Location-Based Services (LBSs) are playing an increasingly important role in people’s daily activities nowadays. While enjoying the convenience provided by LBSs, users may lose privacy since they report their personal information to the untrusted LBS …

TT-SVD: an Efficient Sparse Decision Making Model with Two-way Trust Recommendation in the AI Enabled IoT Systems

The convergence of AI and IoT enables data to be quickly explored and turned into vital decisions, and however, there are still some challenging issues to be further addressed. For example, lacking of enough data in AI-based decision making …

On-the-fly Privacy for Location Histograms

An important motivation for research in location privacy has been to protect against user profiling, i.e., inferring a user's political affiliation, wealth level, sexual preferences, religious beliefs and other sensitive attributes. Existing …

Optimizing investments in Cyber Hygiene for Protecting Healthcare Users

Cyber hygiene measures are often recommended for strengthening an organization’s security posture, especially for protecting against social engineering attacks that target the human element. However, the related recommendations are typically the same …