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We initiate the study of spanners in arbitrarily vertex- or edge-colored graphs (with no "legality" restrictions), that are resilient to failures of entire color classes. When a color fails, all vertices/edges of that color crash. An…

Data Structures and Algorithms · Computer Science 2023-11-16 Asaf Petruschka , Shay Sapir , Elad Tzalik

Intrusion detection system (IDS) is a piece of hardware or software that looks for malicious activity or policy violations in a network. It looks for malicious activity or security flaws on a network or system. IDS protects hosts or…

Machine Learning · Computer Science 2024-11-01 Rajana Akter , Shahnure Rabib , Rahul Deb Mohalder , Laboni Paul , Ferdous Bin Ali

Intrusion Detection Systems (IDS) are developed to protect the network by detecting the attack. The current paper proposes an unsupervised feature selection technique for analyzing the network data. The search capability of the…

Neural and Evolutionary Computing · Computer Science 2019-05-17 Chanchal Suman , Somanath Tripathy , Sriparna Saha

The ever-evolving landscape of attacks, coupled with the growing complexity of ICT systems, makes crafting anomaly-based intrusion detectors (ID) and error detectors (ED) a difficult task: they must accurately detect attacks, and they…

Cryptography and Security · Computer Science 2024-02-15 Tommaso Puccetti , Andrea Ceccarelli

This research is motivated by the need for effective classification in ice-breaking dynamic simulations, aimed at determining the conditions under which an underwater vehicle will break through the ice. This simulation is extremely…

Methodology · Statistics 2025-06-05 Tian Bai , Dianpeng Wang , Kuangqi Chen , Xu He

Out-of-distribution (OOD) detection is the problem of identifying inputs which are unrelated to the in-distribution task. The OOD detection performance when the in-distribution (ID) is ImageNet-1K is commonly being tested on a small range…

Machine Learning · Computer Science 2023-06-02 Julian Bitterwolf , Maximilian Müller , Matthias Hein

Network intrusion detection is the problem of detecting unauthorised use of, or access to, computer systems over a network. Two broad approaches exist to tackle this problem: anomaly detection and misuse detection. An anomaly detection…

Neural and Evolutionary Computing · Computer Science 2012-08-03 Simon T. Powers , Jun He

We consider the adaptation of random early detection (RED) as an active queue management algorithm for TCP traffic in Internet gateways where different maximum transfer units (MTUs) are used. We studied the two existing RED variants and…

Networking and Internet Architecture · Computer Science 2009-10-02 Stefaan De Cnodder , Omar Elloumi , Kenny Pauwels

For a graph, $G$, and a vertex $v \in V(G)$, let $N[v]$ be the set of vertices adjacent to and including $v$. A set $D \subseteq V(G)$ is a vertex identifying code if for any two distinct vertices $v_1, v_2 \in V(G)$, the vertex sets…

Combinatorics · Mathematics 2011-10-07 Ari Cukierman , Gexin Yu

Despite the significant research efforts on trajectory prediction for automated driving, limited work exists on assessing the prediction reliability. To address this limitation we propose an approach that covers two sources of error, namely…

Robotics · Computer Science 2023-08-07 Julian Wiederer , Julian Schmidt , Ulrich Kressel , Klaus Dietmayer , Vasileios Belagiannis

Machine learning has shown promise in network intrusion detection systems, yet its performance often degrades due to concept drift and imbalanced data. These challenges are compounded by the labor-intensive process of labeling network…

Networking and Internet Architecture · Computer Science 2025-08-15 Ragini Gupta , Shinan Liu , Ruixiao Zhang , Xinyue Hu , Xiaoyang Wang , Hadjer Benkraouda , Pranav Kommaraju , Phuong Cao , Nick Feamster , Klara Nahrstedt

Intrusion detection systems (IDS) for the Internet of Things (IoT) systems can use AI-based models to ensure secure communications. IoT systems tend to have many connected devices producing massive amounts of data with high dimensionality,…

Cryptography and Security · Computer Science 2024-04-29 Ali Ghubaish , Zebo Yang , Aiman Erbad , Raj Jain

The integration of communication networks and the Internet of Things (IoT) in Industrial Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing devastating outcomes. Traditional Intrusion Detection Systems…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Abdulrahman Al-Abassi , Hadis Karimipour , Ali Dehghantanha , Reza M. Parizi

In this paper, we continue the study of locating-paired-dominating set, abbreviated LPDS, in graphs introduced by McCoy and Henning. Given a finite or infinite graph $G=(V,E)$, a set $S\subset V$ is paired-dominating if the induced subgraph…

Combinatorics · Mathematics 2022-10-24 Yuxuan Yang

Today by growing network systems, security is a key feature of each network infrastructure. Network Intrusion Detection Systems (IDS) provide defense model for all security threats which are harmful to any network. The IDS could detect and…

Software Engineering · Computer Science 2014-03-06 Mehdi Bahrami , Mohammad Bahrami

In this paper, we focus on addressing the challenges of detecting malicious attacks in networks by designing an advanced Explainable Intrusion Detection System (xIDS). The existing machine learning and deep learning approaches have…

Cryptography and Security · Computer Science 2025-03-04 Muhammad Adil , Mian Ahmad Jan , Safayat Bin Hakim , Houbing Herbert Song , Zhanpeng Jin

This paper presents a mathematical framework for modeling the dynamic effects of three fault categories and six fault variants in the ink channels of high-end industrial printers. It also introduces a hybrid approach that combines…

Systems and Control · Electrical Eng. & Systems 2024-12-11 Casper van Peijpe , Farhad Ghanipoor , Youri de Loore , Pim Hacking , Nathan van de Wouw , Peyman Mohajerin Esfahani

We revisit the problem of fault-tolerant (FT) distance preservers, when failure events in the network admit a form of correlation modeled as color faults. FT distance preservers are sparse subgraphs that preserve distances between specified…

Data Structures and Algorithms · Computer Science 2026-05-01 Merav Parter , Asaf Petruschka

For any positive integer $r$, an $r$-identifying code on a graph $G$ is a set $C\subset V(G)$ such that for every vertex in $V(G)$, the intersection of the radius-$r$ closed neighborhood with $C$ is nonempty and pairwise distinct. For a…

Combinatorics · Mathematics 2011-01-25 Brendon Stanton

Control systems are exposed to unintentional errors, deliberate intrusions, false data injection attacks, and various other disruptions. In this paper we propose, justify, and illustrate a rule of thumb for detecting, or confirming the…

Methodology · Statistics 2018-06-19 Nadezhda Gribkova , Ričardas Zitikis
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