Syn Flood Attack Detection and Type Distinguishing Mechanism Based on Counting Bloom Filter

Halagan, Tomas; Kováčik, Tomáš; Truchly, Peter; Binder, Andrej

doi:10.1007/978-3-319-24315-3_4

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…The modified model, however, simulated the event in both time and flow more accurate. In the summer, which was dominated by rainfall-type floods and mixed floods [11], the original model was usually inaccurate in its simulation of flood peaks. Although the modified model shifted some of the simulated flood processes earlier, its performance of flood peaks was better than the original model.…”

Section: Resultsmentioning

confidence: 99%

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Sub-Daily Simulation of Mountain Flood Processes Based on the Modified Soil Water Assessment Tool (SWAT) Model

Duan

Meng

et al. 2019

IJERPH

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Floods not only provide a large amount of water resources, but they also cause serious disasters. Although there have been numerous hydrological studies on flood processes, most of these investigations were based on rainfall-type floods in plain areas. Few studies have examined high temporal resolution snowmelt floods in high-altitude mountainous areas. The Soil Water Assessment Tool (SWAT) model is a typical semi-distributed, hydrological model widely used in runoff and water quality simulations. The degree-day factor method used in SWAT utilizes only the average daily temperature as the criterion of snow melting and ignores the influence of accumulated temperature. Therefore, the influence of accumulated temperature on snowmelt was added by increasing the discriminating conditions of rain and snow, making that more suitable for the simulation of snowmelt processes in high-altitude mountainous areas. On the basis of the daily scale, the simulation of the flood process was modeled on an hourly scale. This research compared the results before and after the modification and revealed that the peak error decreased by 77% and the time error was reduced from ±11 h to ±1 h. This study provides an important reference for flood simulation and forecasting in mountainous areas.

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Section: Resultsmentioning

confidence: 99%

“…The premise of the accurate prediction of flood events, however, is to study different types of flood processes [10]. Hence, the simulation of flood processes under high temporal resolution is becoming extremely important [11].…”

Section: Introductionmentioning

confidence: 99%

Sub-Daily Simulation of Mountain Flood Processes Based on the Modified Soil Water Assessment Tool (SWAT) Model

Duan

Meng

et al. 2019

IJERPH

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“…If the request is sent from the attacker, then no ACK will be sent back to the server, the server will keep that connection open and expect to receive messages from the user. A certain channel and resources are assigned to that user [16]. The presence of an SYN flood attack (Figure 4.2), when the attacker sends a large number of concurrent requests; without sending ACKs to the server.…”

Section: The Defense Against Syn Flood Attackmentioning

confidence: 99%

An Enhanced User Authentication Framework in Cloud Computing

Refai¹,

Batiha²,

Al-Refai³

2020

IJNSA

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Recently, there are several studies have proposed user authentication frameworks to defend against different types of attacks such as phishing, replay attack, man in the middle attack and denial of service attack, etc. Most of these frameworks consist of three main phases, which are the registration phase, login phase, and authentication phase. Most of them have the changing password process as an additional activity.Many problemshave been noticed in the performance of these frameworks. For example, the registration phase is valunerable to internal attack such as SYN flood attack. In this work, we aim to propose a robust user authentication framework that overcomes the previous framework shortages. The proposed framework provides many security aspects such as remote authentication, mutual authentication, session key establishment,to mention a few. Besides, to ensure the security through all phases of this framework, we add a new phase called a Service Access Authentication Phase (SAAP).This phase is resposable of the internal verification .

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“…If a system can tolerate negligible overhead, then Bloom Filter can enhance a performance of a system. Therefore, Bloom Filter is deployed to various domains, namely, Big Data [9], Deduplication [10], [11], [12], Network Security [4], [13], Network Traffic control [14], Name Lookup [15], [16], IP address lookup [17], [18], Biometric [19], [20], Bioinformatics [21], [22], File System [23], Indexing, and many more. However, Bloom Filter is not suitable in case of correct query-answer requirements.…”

Section: Bloom Filtermentioning

confidence: 99%

Role of Bloom Filter in Big Data Research: A Survey

Patgiri¹,

Nayak²,

Borgohain³

2018

ijacsa

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Big Data is the most popular emerging trends that becomes a blessing for human kinds and it is the necessity of day-to-day life. For example, Facebook. Every person involves with producing data either directly or indirectly. Thus, Big Data is a high volume of data with exponential growth rate that consists of a variety of data. Big Data touches all fields, including Government sector, IT industry, Business, Economy, Engineering, Bioinformatics, and other basic sciences. Thus, Big Data forms a data silo. Most of the data are duplicates and unstructured.To deal with such kind of data silo, Bloom Filter is a precious resource to filter out the duplicate data. Also, Bloom Filter is inevitable in a Big Data storage system to optimize the memory consumption. Undoubtedly, Bloom Filter uses a tiny amount of memory space to filter a very large data size and it stores information of a large set of data. However, functionality of the Bloom Filter is limited to membership filter, but it can be adapted in various applications. Besides, the Bloom Filter is deployed in diverse field, and also used in the interdisciplinary research area. Bioinformatics, for instance. In this article, we expose the usefulness of Bloom Filter in Big Data research.

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Syn Flood Attack Detection and Type Distinguishing Mechanism Based on Counting Bloom Filter

Cited by 6 publications

References 9 publications

Sub-Daily Simulation of Mountain Flood Processes Based on the Modified Soil Water Assessment Tool (SWAT) Model

Sub-Daily Simulation of Mountain Flood Processes Based on the Modified Soil Water Assessment Tool (SWAT) Model

An Enhanced User Authentication Framework in Cloud Computing

Role of Bloom Filter in Big Data Research: A Survey

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