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One of the tasks of law enforcement agencies is to find evidence of criminal activity in the Darknet. However, visiting thousands of domains to locate visual information containing illegal acts manually requires a considerable amount of…

计算机视觉与模式识别 · 计算机科学 2020-05-22 Eduardo Fidalgo Fernandez , Roberto Andrés Vasco Carofilis , Francisco Jáñez Martino , Pablo Blanco Medina

Recent advances in learning Deep Neural Network (DNN) architectures have received a great deal of attention due to their ability to outperform state-of-the-art classifiers across a wide range of applications, with little or no feature…

密码学与安全 · 计算机科学 2018-04-03 Se Eun Oh , Saikrishna Sunkam , Nicholas Hopper

Several studies have shown that the network traffic that is generated by a visit to a website over Tor reveals information specific to the website through the timing and sizes of network packets. By capturing traffic traces between users…

密码学与安全 · 计算机科学 2017-12-06 Vera Rimmer , Davy Preuveneers , Marc Juarez , Tom Van Goethem , Wouter Joosen

The unevenness importance of criminal activities in the onion domains of the Tor Darknet and the different levels of their appeal to the end-user make them tangled to measure their influence. To this end, this paper presents a novel…

机器学习 · 计算机科学 2019-10-08 Mhd Wesam Al-Nabki , Eduardo Fidalgo , Enrique Alegre , Deisy Chaves

Although the Domain Name System (DNS) was designed as a naming system, its features have made it appealing to repurpose it for the deployment of novel systems. One important class of such systems are security enhancements, and this work…

密码学与安全 · 计算机科学 2017-02-20 Pawel Szalachowski , Adrian Perrig

In this paper we introduce an intrusion detection system for Denial of Service (DoS) attacks against Domain Name System (DNS). Our system architecture consists of two most important parts: a statistical preprocessor and a neural network…

密码学与安全 · 计算机科学 2009-12-10 Samaneh Rastegari , M. Iqbal Saripan , Mohd Fadlee A. Rasid

Domain name system (DNS) is a crucial part of the Internet, yet has been widely exploited by cyber attackers. Apart from making static methods like blacklists or sinkholes infeasible, some weasel attackers can even bypass detection systems…

密码学与安全 · 计算机科学 2019-09-05 Xiaoqing Sun , Mingkai Tong , Jiahai Yang

Nowadays, malware increasingly uses DNS-based covert channels in order to evade detection and maintain stealthy communication with its command-and-control servers. While prior work has focused on detecting such activity, identifying…

密码学与安全 · 计算机科学 2025-11-26 Pascal Ruffing , Denis Petrov , Sebastian Zillien , Steffen Wendzel

Domain Name System (DNS) tunneling remains a covert channel for data exfiltration and command-and-control communication. Although graph-based methods such as GraphTunnel achieve strong accuracy, they introduce significant latency and…

计算机视觉与模式识别 · 计算机科学 2025-12-11 Faraz Ali , Muhammad Afaq , Mahmood Niazi , Muzammil Behzad

Detecting Domain Name System (DNS) tunneling is a significant challenge in security due to its capacity to hide harmful actions within DNS traffic that appears to be normal and legitimate. Traditional detection methods are based on…

密码学与安全 · 计算机科学 2025-07-15 Novruz Amirov , Baran Isik , Bilal Ihsan Tuncer , Serif Bahtiyar

Name entity recognition in noisy user-generated texts is a difficult task usually enhanced by incorporating an external resource of information, such as gazetteers. However, gazetteers are task-specific, and they are expensive to build and…

In the last decade, the use of fast flux technique has become established as a common practice to organise botnets in Fast Flux Service Networks (FFSNs), which are platforms able to sustain illegal online services with very high…

密码学与安全 · 计算机科学 2018-09-19 Pierangelo Lombardo , Salvatore Saeli , Federica Bisio , Davide Bernardi , Danilo Massa

Tor is among most well-known dark net in the world. It has noble uses, including as a platform for free speech and information dissemination under the guise of true anonymity, but may be culturally better known as a conduit for criminal…

社会与信息网络 · 计算机科学 2019-02-19 Mahdieh Zabihimayvan , Reza Sadeghi , Derek Doran , Mehdi Allahyari

Due to the progression of information technology in recent years, document images have been widely disseminated on social networks. With the help of powerful image editing tools, document images are easily forged without leaving visible…

计算机视觉与模式识别 · 计算机科学 2023-08-16 Xin Liao , Siliang Chen , Jiaxin Chen , Tianyi Wang , Xiehua Li

To maintain the privacy of users' web browsing history, popular browsers encrypt their DNS traffic using the DNS-over-HTTPS (DoH) protocol. Unfortunately, encrypting DNS packets prevents many existing intrusion detection systems from using…

密码学与安全 · 计算机科学 2023-10-18 Sergio Salinas Monroy , Aman Kumar Gupta , Garrett Wahlstedt

Anonymous communication systems are subject to selective denial-of-service (DoS) attacks. Selective DoS attacks lower anonymity as they force paths to be rebuilt multiple times to ensure delivery which increases the opportunity for more…

密码学与安全 · 计算机科学 2015-03-19 Anupam Das , Nikita Borisov

The Domain Name System (DNS) is a core Internet service that translates domain names into IP addresses. It is a distributed database and protocol with many known weaknesses that subject to countless attacks including spoofing attacks,…

密码学与安全 · 计算机科学 2022-11-16 Alshaima Almarzooqi , Jawahir Mahmoud , Bayena Alzaabi , Arsiema Ghebremichael , Monther Aldwairi

Domain Name Service is a trusted protocol made for name resolution, but during past years some approaches have been developed to use it for data transfer. DNS Tunneling is a method where data is encoded inside DNS queries, allowing…

密码学与安全 · 计算机科学 2020-06-16 Franco Palau , Carlos Catania , Jorge Guerra , Sebastian Garcia , Maria Rigaki

Intrusion detection has attracted a considerable interest from researchers and industries. After many years of research the community still faces the problem of building reliable and efficient intrusion detection systems (IDS) capable of…

密码学与安全 · 计算机科学 2018-10-08 Elike Hodo , Xavier Bellekens , Ephraim Iorkyase , Andrew Hamilton , Christos Tachtatzis , Robert Atkinson

Distinguishing manipulated from real images is becoming increasingly difficult as new sophisticated image forgery approaches come out by the day. Naive classification approaches based on Convolutional Neural Networks (CNNs) show excellent…

计算机视觉与模式识别 · 计算机科学 2019-11-28 Davide Cozzolino , Justus Thies , Andreas Rössler , Christian Riess , Matthias Nießner , Luisa Verdoliva
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