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Related papers: Characterizing Activity on the Deep and Dark Web

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The "Decentralised Web" (DW) is an evolving concept, which encompasses technologies aimed at providing greater transparency and openness on the web. The DW relies on independent servers (aka instances) that mesh together in a peer-to-peer…

Deep neural networks (DNN) are black box algorithms. They are trained using a gradient descent back propagation technique which trains weights in each layer for the sole goal of minimizing training error. Hence, the resulting weights cannot…

Machine Learning · Computer Science 2018-11-05 Daniel Goldfarb

Online discussion forums are complex webs of overlapping subcommunities (macrolevel structure, across threads) in which users enact different roles depending on which subcommunity they are participating in within a particular time point…

Machine Learning · Statistics 2015-12-14 Abhimanu Kumar , Shriphani Palakodety , Chong Wang , Carolyn P. Rose , Eric P. Xing , Miaomiao Wen

This paper proposes a generic classification system designed to detect security threats based on the behavior of malware samples. The system relies on statistical features computed from proxy log fields to train detectors using a database…

Machine Learning · Statistics 2017-02-09 Lukas Machlica , Karel Bartos , Michal Sofka

With the growing use of information technology in all life domains, hacking has become more negatively effective than ever before. Also with developing technologies, attacks numbers are growing exponentially every few months and become more…

Cryptography and Security · Computer Science 2022-09-29 Khloud Al Jallad , Mohamad Aljnidi , Mohammad Said Desouki

In this digital era, our lives highly depend on the internet and worldwide technology. Wide usage of technology and platforms of communication makes our lives better and easier. But on the other side it carries out some security issues and…

Cryptography and Security · Computer Science 2024-04-18 Muhammad Shoaib Farooq , Hina jabbar

The clandestine nature of covert networks makes reliable data difficult to obtain and leads to concerns with missing data. We explore the use of network models to represent missingness mechanisms. Exponential random graph models provide a…

Methodology · Statistics 2025-01-28 Jonathan Januar , H Colin Gallagher , Johan Koskinen

Recent high-profile cyber attacks exemplify why organizations need better cyber defenses. Cyber threats are hard to accurately predict because attackers usually try to mask their traces. However, they often discuss exploits and techniques…

Computation and Language · Computer Science 2019-02-05 Ashok Deb , Kristina Lerman , Emilio Ferrara

Meetup.com is a global online platform which facilitates the organisation of meetups in different parts of the world. A meetup group typically focuses on one specific topic of interest, such as sports, music, language, or technology.…

Social and Information Networks · Computer Science 2018-11-05 Arjun Pakrashi , Elham Alghamdi , Brian Mac Namee , Derek Greene

The domain name system (DNS) that maps alphabetic names to numeric Internet Protocol (IP) addresses plays a foundational role for Internet communications. By default, DNS queries and responses are exchanged in unencrypted plaintext, and…

Cryptography and Security · Computer Science 2024-07-08 Minzhao Lyu , Hassan Habibi Gharakheili , Vijay Sivaraman

The aim of this paper is to present methods to systematically analyze individual and group behavioral patterns observed in community driven discussion platforms like Reddit where users exchange information and views on various topics of…

Social and Information Networks · Computer Science 2018-09-20 Sachin Thukral , Hardik Meisheri , Tushar Kataria , Aman Agarwal , Ishan Verma , Arnab Chatterjee , Lipika Dey

With the ever growing networking capabilities and services offered to users, attack surfaces have been increasing exponentially, additionally, the intricacy of network architectures has increased the complexity of cyber-defenses, to this…

Cryptography and Security · Computer Science 2019-03-22 Xavier Bellekens , Gayan Jayasekara , Hanan Hindy , Miroslav Bures , David Brosset , Christos Tachtatzis , Robert Atkinson

Malicious web content is a serious problem on the Internet today. In this paper we propose a deep learning approach to detecting malevolent web pages. While past work on web content detection has relied on syntactic parsing or on emulation…

Cryptography and Security · Computer Science 2018-04-16 Joshua Saxe , Richard Harang , Cody Wild , Hillary Sanders

Interest in unethical user interfaces has grown in HCI over recent years, with researchers identifying malicious design strategies referred to as ''dark patterns''. While such strategies have been described in numerous domains, we lack a…

Human-Computer Interaction · Computer Science 2023-05-23 Thomas Mildner , Merle Freye , Gian-Luca Savino , Philip R. Doyle , Benjamin R. Cowan , Rainer Malaka

Online health communities provide a knowledge exchange platform for a wide range of diseases and health conditions. Informational and emotional support helps forum participants orient around health issues beyond in-person doctor visits. So…

Human-Computer Interaction · Computer Science 2022-01-21 Daniel Diethei , Ashley Colley , Julian Wienert , Johannes Schöning

Dark patterns utilize interface elements to trick users into performing unwanted actions. Online shopping websites often employ these manipulative mechanisms so as to increase their potential customer base, to boost their sales, or to…

Human-Computer Interaction · Computer Science 2021-07-19 Christian Voigt , Stephan Schlögl , Aleksander Groth

The issue of quantifying and characterizing various forms of social media manipulation and abuse has been at the forefront of the computational social science research community for over a decade. In this paper, I provide a…

Social and Information Networks · Computer Science 2023-04-19 Emilio Ferrara

Hidden links are designed solely for search engines rather than visitors. To get high search engine rankings, link hiding techniques are usually used for the profitability of black industries, such as illicit game servers, false medical…

Information Retrieval · Computer Science 2014-04-04 Guang-Gang Geng , Xiu-Tao Yang , Wei Wang , Chi-Jie Meng

Malicious URL, a.k.a. malicious website, is a common and serious threat to cybersecurity. Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure unsuspecting users to become victims of scams (monetary…

Machine Learning · Computer Science 2019-08-22 Doyen Sahoo , Chenghao Liu , Steven C. H. Hoi