23 papers · ranked by Valyu relevance
Mohammad Sazzadul Hoque
1 Student, Department of Computer Science and Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh sazzad@ymail.com 2 Student, Department of Computer Science and Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh mukit.sust027@gmail.com 3Lecturer, Department of…
Adel Binbusayyis, Thavavel Vaiyapuri
The revolutionary advances in network technologies have spearheaded the design of advanced cyberattacks to surpass traditional security defense with dreadful consequences. Recently, Intrusion Detection System (IDS) is considered as a pivotal element in network security infrastructures to achieve solid line of…
Yanqing Yang, Kangfeng Zheng, Chunhua Wu, Yixian Yang
Intrusion detection systems play an important role in preventing security threats and protecting networks from attacks. However, with the emergence of unknown attacks and imbalanced samples, traditional machine learning methods suffer from lower detection rates and higher false positive rates. We propose a novel…
Mostaque Md. Morshedur Hassan
Nowadays Intrusion Detection System (IDS) which is increasingly a key element of system security is used to identify the malicious activities in a computer system or network. There are different approaches being employed in intrusion detection systems, but unluckily each of the technique so far is not entirely ideal.…
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…
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…
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…
Ilkyu Kim, Doohwan Oh, Myung Kuk Yoon, Kyueun Yi + 1 more
Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the sensor nodes owing to…
Aditya S. Pandey, Abhishek Sinha, Aishwarya PS
—A large amount of work has been done on the KDD 99 dataset, most of which includes the use of a hybrid anomaly and misuse detection model done in parallel with each other. In order to further classify the intrusions, our approach to network intrusion detection includes use of two different anomaly detection models…
Swapnoneel Roy, Sriram Sankaran, Mini Zeng, Jose Manuel Molina López + 1 more
'Alessandra Rizzardi'] Intrusion detection systems have proliferated with varying capabilities for data generation and learning towards detecting abnormal behavior. The goal of green intrusion detection systems is to design intrusion detection systems for energy efficiency, taking into account the resource constraints…
Shafigh Parsazad, Ehsan Saboori, Amin Allahyar
— In the most intrusion detection systems (IDS), a system tries to learn characteristics of different type of attacks by analyzing packets that sent or received in network. These packets have a lot of features. But not all of them is required to be analyzed to detect that specific type of attack. Detection speed and…
Muhammad Fahad Umer, Muhammad Sher, Yaxin Bi, Yongtang Shi
The next-generation network provides state-of-the-art access-independent services over converged mobile and fixed networks. Security in the converged network environment is a major challenge. Traditional packet and protocol-based intrusion detection techniques cannot be used in next-generation networks due to slow…
Camelia-M. Pintea, Petrică C. Pop
Multi-agent systems are currently applied to solve complex problems. The security of networks is an eloquent example of a complex and difficult problem. A new model-concept Hybrid Sensitive Robot Metaheuristic for Intrusion Detection is introduced in the current paper. The proposed technique could be used with machine…
Jafar Majidpour, Hiwa Hasanzadeh
modern computer networks were studied in this paper. The identification of attacks in computer networks is divided in to two categories of intrusion detection and anomaly detection in terms of the information used in the learning phase. Intrusion detection uses both routine traffic and attack traffic. Abnormal…
Wenguang Song, Mykola Beshley, Krzysztof Przystupa, Halyna Beshley + 4 more
'Orest Kochan' 'Andrii Pryslupskyi' 'Daniel Pieniak' 'Jun Su'] In this paper, to solve the problem of detecting network anomalies, a method of forming a set of informative features formalizing the normal and anomalous behavior of the system on the basis of evaluating the Hurst (H) parameter of the network traffic has…
Erin Siracusa, Marina Morandini, Stan Boutin, Murray M. Humphries + 3 more
In many species, territory defense is thought to be one of the primary functions of acoustic communication. North American red squirrels are a territorial species in which ‘rattles’ have long been thought to be the principal signal communicating territory ownership. These vocalizations have been assumed to deter…
Takuma Nakamura, Shigeto Dobata
Social animals utilise various communication methods to organise their societies. In social insects, nestmate discrimination plays a crucial role in regulating colony membership. Counter to this system, socially parasitic species employ adaptive strategies to bypass their host’s detection. Such relationships between…
Marcus O. Harrington, Jennifer E. Ashton, Subbulakshmi Sankarasubramanian, Michael C. Anderson + 1 more
Unwanted memories often enter conscious awareness when we confront reminders. People vary widely in their talents at suppressing such memory intrusions; however, the factors that govern suppression ability are poorly understood. We tested the hypothesis that successful memory control requires sleep. Following overnight…
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…
Geoff McConohy, Xin Xu, Teng Cui, Edward Barks + 5 more
Solid-state electrolytes are an attractive option to increase the chemical stability and energy density of rechargeable lithium-metal batteries. However, they are susceptible to lithium-metal short-circuiting during charging, especially under high current densities. In this work, using a force-controlled electrical…
Ambroise de Izarra, François-Xavier Coudert, Alain Fuchs, Anne Boutin
We have investigated through molecular simulation the intrusion of electrolytes in two representative pure-silica zeolites, silicalite-1 and chabazite, in which point defects were introduced in varying amounts. We distinguish between two types of defects, considering either “weak” or “strong” silanol nest defects…
César Capinha, António T. Monteiro, Ana Ceia-Hasse
Early detection of invasive species is crucial to prevent biological invasions. To increase the success of detection efforts, it is often essential to know the phenological stages in which the invasive species are found. This includes knowing, for example, if invasive insect species are in their adult phase, invasive…
Meng Jia, Troy Sorensen, Dorit Hammerling
We propose a generic, modular framework to optimize the placement of continuous monitoring sensors on oil and gas sites aiming to maximize the methane emissions detection efficiency. Our proposed framework substantially expands the problem scale compared to previous related studies and can be adapted for different…