21 papers · ranked by Valyu relevance
Vasily Desnitsky, Andrey Chechulin, Igor Kotenko, Gautam Srivastava + 3 more
This article covers the issues of constructing tools for detecting network attacks targeting devices in IoT clouds. The detection is performed within the framework of cloud infrastructure, which receives data flows that are limited in size and content, and characterize the current network interaction of the analyzed…
Muhammad Arsalan Paracha, Muhammad Sadiq, Junwei Liang, Muhammad Hanif Durad + 2 more
'Muhammad Hanif Durad' 'Muhammad Sheeraz' 'Jian Li'] The advancements and reliance on digital data necessitates dependence on information technology. The growing amount of digital data and their availability over the Internet have given rise to the problem of information security. With the increase in connectivity…
Duraid Thamer Salim, Manmeet Mahinderjit Singh, Pantea Keikhosrokiani
Advancements in computing technology and the growing number of devices (e.g., computers, mobile) connected to networks have contributed to an increase in the amount of data transmitted between devices. These data are exposed to various types of cyberattacks, one of which is advanced persistent threats (APTs). APTs are…
Omaimah Bamasag, Alaa Alsaeedi, Asmaa Munshi, Daniyal Alghazzawi + 3 more
In recent years, the advent of cloud computing has transformed the field of computing and information technology. It has been enabling customers to rent virtual resources and take advantage of various on-demand services with the lowest costs. Despite the advantages of cloud computing, it faces several threats; an…
Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman
—Enterprise networks that host valuable assets and services are popular and frequent targets of distributed network attacks. In order to cope with the ever-increasing threats, industrial and research communities develop systems and methods to monitor the behaviors of their assets and protect them from critical attacks.…
Messaouda Boutassetta, Amina Abd El Aal Mohammed Makhlouf, Newfel Messaoudi, Abdelmadjid Benmachiche + 1 more
Intrusion detection systems (IDS) are essential for protecting computer systems and networks against a wide range of cyber threats that continue to evolve over time. IDS are commonly categorized into two main types, each with its own strengths and limitations, such as difficulty in detecting previously unseen attacks…
Piotr Marusak, Robert Nebeluk, Andrzej Wojtulewicz, Krzysztof Cabaj + 5 more
'Patryk Chaber' 'Maciej Ławryńczuk' 'Sebastian Plamowski' 'Krzysztof Zarzycki' 'Weizhi Meng'] The article deals with the issue of detecting cyberattacks on control algorithms running in a real Programmable Logic Controller (PLC) and controlling a real laboratory control plant. The vulnerability of the widely used…
Mikel K. Ngueajio, Gloria Washington, Danda B. Rawat, Yolande Ngueabou
'Yolande Ngueabou'] > Abstract. With the growing rates of cyber-attacks and cyber espionage, the need for better and more powerful intrusion detection systems (IDS) is even more warranted nowadays. The basic task of an IDS is to act as the first line of defense, in detecting attacks on the internet. As intrusion…
Mohammad S. Aziz, Ali Saeed Dayem Alfoudi
Malicious software is an integral part of cybercrime defense. Due to the growing number of malicious attacks and their target sources, detecting and preventing the attack becomes more challenging due to the assault's changing behavior. The bulk of classic malware detection systems is based on statistics, analytic…
Alexander Shim
The techniques used in modern attacks have become an important factor for investigation. As we advance further into the digital age, cyber attackers are employing increasingly sophisticated and highly threatening methods. These attacks target not only organizations and governments but also extend to private and…
Upendra Bartwal, Subhasis Mukhopadhyay, Rohit Negi, Sandeep K. Shukla
'Sandeep K. Shukla'] Abstract—Cyber Security is a critical topic for organizations with IT/OT networks as they are always susceptible to attack, whether insider or outsider. Since the cyber landscape is an ever-evolving scenario, one must keep upgrading its security systems to enhance the security of the…
Metehan Gelgi, Yueting Guan, Sanjay Arunachala, Maddi Samba Siva Rao + 3 more
'Nicola Dragoni' 'Joaquin Ordieres Meré' 'Keshav Dahal'] Internet of Things (IoT) technology has become an inevitable part of our daily lives. With the increase in usage of IoT Devices, manufacturers continuously develop IoT technology. However, the security of IoT devices is left behind in those developments due to…
Islam Debicha, Benjamin Cochez, Tayeb Kenaza, Thibault Debatty + 2 more
'Jean‐Michel Dricot' 'Wim Mees'] Due to the numerous advantages of machine learning (ML) algorithms, many applications now incorporate them. However, many studies in the field of image classification have shown that MLs can be fooled by a variety of adversarial attacks. These attacks take advantage of ML algorithms'…
Thomas W. Scott, E. Toby Kiers, Stuart A. West
Experiments have shown that when one plant is attacked by a pathogen or herbivore, this can lead to other plants connected to the same mycorrhizal network upregulating their defence mechanisms. It has been hypothesised that this represents signalling, with attacked plants producing a signal to warn other plants of…
Marine Mamin, Carla C. M. Arce, Gregory Röder, Arooran Kanagendran + 11 more
Early detection of crop pests and diseases can enable timely, targeted interventions, and help reduce pesticide use. Plants under biotic stress are known to rapidly emit characteristic blends of volatile compounds that could potentially serve as early and attacker-specific cues for precise pest monitoring. Here, we…
Tianyu Liu, Yijia Xiao, Xiao Luo, Hongyu Zhao
Computational methods should be accurate and robust for tasks in biology and medicine, especially when facing different types of attacks, defined as perturbations of benign data that can cause a significant drop in method performance. Therefore, there is a need for robust models that can defend attacks. In this…
Kristy Butler, Elena Tartaglia, Jason Rennie, Stephen Deutsch + 1 more
Initial attack refers to the first set of firefighting actions undertaken at a newly reported fire, with the aim to control the fire’s spread. When multiple fires are reported and resources constrained, decisions need to be made about triaging fires for an escalated response. We developed empirical initial attack…
Daniel Linke, Jacqueline Hernandez Mejia, Valery N. P. Eche Navarro, Prapti Gohil + 4 more
Antipredator defences typically act at specific stages along the predation sequence, i.e., during prey encounter, identification, approach, and subjugation. However, the effectiveness of such defences has seldom been contrasted and quantified in parallel using an experimental setting with wild predators. Within…
Daniel Mas Montserrat, Alexander G. Ioannidis
Adversarial attacks can drastically change the output of a method by performing a small change on its input. While they can be a useful framework to analyze worst-case robustness, they can also be used by malicious agents to perform damage in machine learning-based applications. The proliferation of platforms that…
Peiqi Kang, Shuo Jiang, Peter B. Shull
Biometric-based personal identification models are generally considered to be accurate and secure because biological signals are too complex and person-specific to be fabricated, and EMG signals, in particular, have been used as biological identification tokens due to their high dimension and non-linearity. We…
Paul Morris, Cory Simon
In many gas sensing tasks, we simply wish to become aware of gas compositions that deviate from normal, "business-as-usual" conditions. We provide a methodology, illustrated by example, to computationally predict the performance of a gas sensor array design for detecting anomalous gas compositions. Specifically, we…