ICISS

Large Language Models in Cybersecurity: State-of-the-Art

The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively...

Feasibility of Supervised Machine Learning for Cloud Security

Cloud computing is gaining significant attention, however, security is the biggest hurdle in its wide acceptance. Users of cloud services are under constant fear of data loss, security threats and...

Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation

Retrieval Augmented Generation (RAG) systems have shown great promise in natural language processing. However, their reliance on data stored in a retrieval database, which may contain proprietary...

An Overview of Cryptographic Accumulators

This paper is a primer on cryptographic accumulators and how to apply them practically. A cryptographic accumulator is a space- and time-efficient data structure used for set-membership tests....

Automatic Pill Reminder for Easy Supervision

In this paper we present a working model of an automatic pill reminder and dispenser setup that can alleviate irregularities in taking prescribed dosage of medicines at the right time dictated by...

Evaluating explainable AI for deep learning-based network intrusion detection system alert classification

A Network Intrusion Detection System (NIDS) monitors networks for cyber attacks and other unwanted activities. However, NIDS solutions often generate an overwhelming number of alerts daily, making...

Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach

Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high situational...

Group privacy for personalized federated learning

Federated learning (FL) is a type of collaborative machine learning where participating peers/clients process their data locally, sharing only updates to the collaborative model. This enables to...

Performance Analysis of TLS for Quantum Robust Cryptography on a Constrained Device

Advances in quantum computing make Shor's algorithm for factorising numbers ever more tractable. This threatens the security of any cryptographic system which often relies on the difficulty of...

Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning

This work presents a decentralized motion planning framework for addressing the task of multi-robot navigation using deep reinforcement learning. A custom simulator was developed in order to...

Real-Time Alert Correlation with Type Graphs

The premise of automated alert correlation is to accept that false alerts from a low level intrusion detection system are inevitable and use attack models to explain the output in an...

Distributed Protocols at the Rescue for Trustworthy Online Voting

While online services emerge in all areas of life, the voting procedure in many democracies remains paper-based as the security of current online voting technology is highly disputed. We address...

Evaluating the Influence of Multi-Factor Authentication and Recovery Settings on the Security and Accessibility of User Accounts

Nowadays, most online services offer different authentication methods that users can set up for multi-factor authentication but also as a recovery method. This configuration must be done...

Evaluation of vulnerability reproducibility in container-based Cyber Range

A cyber range, a practical and highly educational information security exercise system, is difficult to implement in educational institutions because of the high cost of implementing and...

CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP

With the drastic increase in the number of new vulnerabilities in the National Vulnerability Database (NVD) every year, the workload for NVD analysts to associate the Common Platform Enumeration...

Federated learning with differential privacy and an untrusted aggregator

Federated learning for training models over mobile devices is gaining popularity. Current systems for this task exhibit significant trade-offs between model accuracy, privacy guarantee, and device...

Systematically Searching for Identity-Related Information in the Internet with OSINT Tools

The increase of Internet services has not only created several digital identities but also more information available about the persons behind them. The data can be collected and used for attacks...

Evaluation Scheme to Analyze Keystroke Dynamics Methods

Password authentication is a weak point for security as passwords are easily stolen and a user may ignore the security by using a simple password. Therefore, services increasingly demand a second...