Detecting malware based on dns graph mining

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August undefined, 2024

WebApr 9, 2024 · These systems extract DNS answer-based features, time-based features, domain name-based features, and TTL value-based features of the DNS traffic to detect malicious domain activities. We … WebMay 16, 2024 · The malicious use of DNS became widely known by the late 2000s detection of a botnet that generated domain names dynamically. While the botnet used a traditional worm-like propagation to spread, it had a centralized command and control unit to which the bots connected with their daily routines for seeking out the pseudo-random …

ArgusDroid: Detecting Android Malware Variants by Mining …

WebNov 11, 2024 · As shown in Table 3, the precision rate of our model is 97.3%, the recall rate is 87.8%, and the false negative rate is 12.3%. It shows that our algorithm can detect … WebOct 5, 2015 · Detecting Malware Based on DNS Graph Mining. 1. Introduction. Malwares such as Trojans, worms, spyware, and botnets … how do i end all my listings on ebay

Detecting Malware Based on DNS Graph Mining

WebThe above laws mean that the message delivery mechanism of BP algorithm ideally suits for malware mining based on DNS graph. The purpose of mining malware is to let the … WebNov 30, 2024 · Although the specific methods for detecting these two types of malicious behavior vary (e.g., detecting DGA domains ranges from a few statistical dimensions to multi-feature machine learning to deep learning detection based on timing, etc.), the core of the detection is still based on pure DNS data. WebDetecting Malware Based on DNS Graph Mining. Futai Zou, Siyu Zhang, Weixiong Rao and Ping Yi. International Journal of Distributed Sensor Networks, 2015, vol. 11, issue … how do i end an excel spreadsheet

Heterogeneous Provenance Graph Learning Model Based APT Detection

Web境外组织对我国政府、军事及其它重要信息系统的高级可持续性攻击和窃密行为给我国国家安全带来了巨大的潜在危害，近年来先后发生了多起危害严重的网络窃密事件。现有技术由于监测面小、数据关联度不够、分析不够精细等原因，在抵御国家级攻击时表现不能令人满意。 WebOct 1, 2015 · A DNS graph mining-based malware detection approach that is efficient and effective in detecting malwares and inferring graph nodes' reputation scores using … how much is regain therapyWebJun 15, 2024 · The goal of Ringer is to discover domains involved in malicious activities by analyzing passive DNS traffic (traces). As shown in the Fig. 1, the system architecture of Ringer consists of three modules: preprocessing, graph construction and dynamic GCN.In order to better describe our research, we introduce some notations listed in Table 1.. 4.1 … how much is refrigerator in nigeria

"WebBy analysing such beacon activity through passive network monitoring, it is possible to detect potential malware infections. So, we focus on time gaps as indicators of possible C2 activity in targeted enterprise networks. We represent DNS log files as a graph, whose vertices are destination domains and edges are timestamps. " - Detecting malware based on dns graph mining

Detecting malware based on dns graph mining

WebFinally, we emphasize that knowledge graph-based family variant detection is a new research direction, and the ArgusDroid presented in this paper serves as a starting point for reasoning rich knowledge from documents for security-related speci c tasks such as malware detection and security vulnerability identi cation. Basic graph WebApr 1, 2024 · Abstract—In this paper we propose a novel, passive approach,for detecting,and,tracking,malicious,flux ser- vice networks.,Our detection,system,is based,on passive analysis,of recursive,DNS (RDNS ...

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WebMay 30, 2016 · Real-Time Detection of Malware Downloads via Large-Scale URL->File->Machine Graph Mining. ... M. Antonakakis, R. Perdisci, W. Lee, N. Vasiloglou II, and D. Dagon. Detecting malware domains at the upper dns hierarchy. ... W. Zhuang, E. Tas, U. Gupta, and M. Abdulhayoglu. Combining file content and file relations for cloud based … WebJan 28, 2024 · Zhao et al. proposed a systematic framework called IDNS , which uses DNS analysis technology to detect suspicious C&C domain names and then establishes a reputation evaluation engine for calculating the reputation score of the IP address to be detected by using signature-based and anomaly-based detection technique to analyze …

WebIshikura et al., in , proposed a DNS tunneling detection method based on the cache-property-aware features. The proposed approach used the cache miss count to characterize the DNS tunneling traffic. Based on the selected feature, two filters have been introduced to detect DNS tunneling: a long short-term memory (LSTM) and a rule-based filter.

WebFeb 7, 2024 · In this section, we present our design of MalShoot. MalShoot is a lightweight method for identifying malicious domains using passive DNS database. It consists of three modules: 1. Representation Module: The representation module is designed for representing every individual domain name in PDNS database as a low-dimensional vector through … WebHeterogeneous Provenance Graph Learning Model Based APT Detection DONG Chengyu, LYU Mingqi, CHEN Tieming, ZHU Tiantian ... in 1982,Ph.D,associated professor,is a member of China Computer Federation.His main research interests include data mining and ubiquitous computing. Supported by: Joint Funds of the National …

WebAug 1, 2014 · In this paper, we propose a malware activity detection mechanism, GMAD: Graph-based Malware Activity Detection, which uses the sequential correlation …

WebApr 11, 2024 · Some researchers construct relationship connection graph models between domain names based on DNS traffic to detect whether an unknown domain name is benign or malicious, like (Manadhata et al., 2014, Tran et al., 2024, Li et al., 2013, Peng et al., 2024). Such methods aim to construct relationships between different domain names at … how much is refrigerantWebOct 5, 2015 · Malware remains a major threat to nowadays Internet. In this paper, we propose a DNS graph mining-based malware detection … how much is regal unlimitedWebMay 8, 2016 · Furthermore, multiple FQDNs often represent the same criminal site, to impede DNS-based detection approaches and avoid FQDN-based blacklisting. Also, … how do i end a listing on ebay without feesWebAug 1, 2014 · In this paper, we propose a malware activity detection mechanism, GMAD: Graph-based Malware Activity Detection, which uses the sequential correlation between domain names. GMAD detects malicious domain names used for malicious activities. Sequential correlation is a spatial property among domain names, caused by the query … how much is regain couples therapyWebGMAD: Graph-based Malware Activity Detection by DNS traffic analysis. Computer Communications 49 (2014), 33–47. Google Scholar Digital Library; Kai Lei, Qiuai Fu, … how do i end apple music subscriptionWebBased on our study, we ﬁnd that a distribution based features can detect algorithmically gen- DNS PTR request maps an IP address to only one domain erated domain names with lower false positives than lexical name. The dataset thus obtained will contain very few ma- … how much is rege jean page worthWebFraud Detection & Graph Mining : Graph min-ing methods have been successfully applied in many do-mains. However, less graph mining research is done in the malware detection domain. Recent works, such as [3,18], focus on detecting malware variants through the analysis of control-ow graphs of applications. Fraud detection is a closely … how do i end my marketplace coverage