22 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…
Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto + 1 more
'Kouichi Sakurai'] With the rapid development and popularization of Internet of Things (IoT) devices, an increasing number of cyber-attacks are targeting such devices. It was said that most of the attacks in IoT environments are botnet-based attacks. Many security weaknesses still exist on the IoT devices because most…
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…
Marcin Niemiec, Rafał Kościej, Bartłomiej Gdowski, Amelia Carolina Sparavigna + 2 more
'Amelia Carolina Sparavigna' 'Héctor D. Menéndez' 'Guillermo Suárez-Tangil'] The Internet is an inseparable part of our contemporary lives. This means that protection against threats and attacks is crucial for major companies and for individual users. There is a demand for the ongoing development of methods for…
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…
Tikam Alma, Manik Lal Das
Modern web applications are dominated by HTTP/HTTPS messages that consist of one or more headers, where most of the exploits and payloads can be injected by attackers. According to the OWASP, the 80 percent of the web attacks are done through HTTP/HTTPS requests queries. In this paper, we present a deep learning based…
Jaydip Sen, Sidra Mehtab
Machine learning and data mining algorithms play important roles in designing intrusion detection systems. Based on their approaches towards the detection of attacks in a network, intrusion detection systems can be broadly categorized into two types. In the misuse detection systems, an attack in a system is detected…
Liu Hua Yeo, Xiangdong Che, Shalini Lakkaraju
Intrusion detection systems (IDS) help detect unauthorized activities or intrusions that may compromise the confidentiality, integrity or availability of a resource. This paper presents a general overview of IDSs, the way they are classified, and the different algorithms used to detect anomalous activities. It attempts…
Basheer Husham Ali, Nasri Sulaiman, Syed Abdul Rahman Al-Haddad, Rodziah Atan + 5 more
'Rodziah Atan' 'Siti Lailatul Mohd Hassan' 'Mokhalad Alghrairi' 'Hamed Badihi' 'Tao Chen' 'Ningyun Lu'] One of the most dangerous kinds of attacks affecting computers is a distributed denial of services (DDoS) attack. The main goal of this attack is to bring the targeted machine down and make their services unavailable…
Abdul Razaque, Khaled Elleithy
The rogue DHCP is unauthorized server that releases the incorrect IP address to users and sniffs the traffic illegally. The contribution specially provides privacy to users and enhances the security aspects of mobile supported collaborative framework (MSCF) explained in [24].The paper introduces multi-frame…
Heba Ezzat Ibrahim, Sherif M. Badr, Mohamed Shaheen
— Security of computers and the networks that connect them is increasingly becoming of great significance. Intrusion detection system is one of the security defense tools for computer networks. This paper compares two different model Approaches for representing intrusion detection system by using decision tree…
Koustav Sadhukhan, Rao Arvind Mallari, Tarun Yadav
—Attacks in cyberspace have got attention due to risk at privacy, breach of trust and financial losses for individuals as well as organizations. In recent years, these attacks have become more complex to analyze technically, as well as to detect and prevent from accessing confidential data. Although there are many…
Mahdi Rabbani, Yongli Wang, Reza Khoshkangini, Hamed Jelodar + 6 more
'Ruxin Zhao' 'Sajjad Bagheri Baba Ahmadi' 'Seyedvalyallah Ayobi' 'Eirik Rosnes' 'Alexandre Graell i Amat' 'Hsuan-Yin Lin'] Network anomaly detection systems (NADSs) play a significant role in every network defense system as they detect and prevent malicious activities. Therefore, this paper offers an exhaustive…
G. Kumar, N. Mangathayaru, G. Narsimha
Intrusion Detection is one of major threats for organization. The approach of intrusion detection using text processing has been one of research interests which is gaining significant importance from researchers. In text mining based approach for intrusion detection, system calls serve as source for mining and…
Abdullah Çağlar Öksüz, Erman Ayday, Uğur Güdükbay
Genome data is a subject of study for both biology and computer science since the start of Human Genome Project in 1990. Since then, genome sequencing for medical and social purposes becomes more and more available and affordable. Genome data can be shared on public websites or with service providers. However, this…
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…
Annette Johansson, Göran Birgersson, Fredrik Schlyter
In this proof of concept study, we report the off season training of two detection dogs on a series of synthetic semiochemicals associated with Ips typographus pest bark beetle infestations of spruce trees. Scent detection training allowed dogs to discriminate between physiologically-relevant infestation (target)…
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…
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…
wenzhong liu, hualan li
Malaria symptoms are very similar to those of COVID-19, and infections can be symptomatic or asymptomatic. Common immunodominant epitopes are shared by the SARS-CoV-2 proteins and the Plasmodium falciparum antigen. Through bioinformatics methods such as domain search, this study discovered that the S, ORF3a proteins…