Results 131 to 140 of about 1,135 (168)

Monoclonal antibody-based immunohistochemistry reveals residual Taenia solium antigens in calcified granulomas from pigs with neurocysticercosis. [PDF]

PLoS Negl Trop Dis
Toribio LM, Tello-Ccente LB, Arroyo G, Verastegui MR, Gilman RH, Nash TE, Garcia HH, Bustos JA, on behalf the Cysticercosis Working Group in Peru [CWGP].   +8 more
europepmc   +1 more source

Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration. [PDF]

PLoS Comput Biol
Wu Y, Hu H, Chen W, Gudjonsson JE, Tsoi LC, Wen X.   +5 more
europepmc   +1 more source

Large Language Models for Synthetic Dataset Generation of Cybersecurity Indicators of Compromise. [PDF]

Sensors (Basel)
Almorjan A, Basheri M, Almasre M.
europepmc   +1 more source

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Utilisation of website logo for phishing detection

Computers and Security, 2015
Phishing is a security threat which combines social engineering and website spoofing techniques to deceive users into revealing confidential information. In this paper, we propose a phishing detection method to protect Internet users from the phishing attacks.
Kang Leng Chiew, San Nah Sze, Wei KING Tiong   +2 more
exaly   +2 more sources

Detection of Phishing Websites

2023
Phishing attacks are one of the biggest security threats to personal and financial information on the internet. They are a type of cyber-attack where attackers pretend to be a trusted entity in order to trick people into revealing sensitive information, such as passwords and credit card numbers.
Lakshmipathi Gejjala, Muthukumar Arunachalam, Bala Manikanta Eswar Duggisetty, Jaswanth Kumar Reddy Vardireddy   +3 more
openaire   +1 more source

Fresh-Phish: A Framework for Auto-Detection of Phishing Websites

2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017
Denizens of the Internet are coming under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials compromising both their privacy and security.
Hossein Shirazi, Kyle Haefner, Indrakshi Ray   +2 more
openaire   +1 more source

An Intelligent Anti-phishing Strategy Model for Phishing Website Detection

2012 32nd International Conference on Distributed Computing Systems Workshops, 2012
As a new form of malicious software, phishing websites appear frequently in recent years, which cause great harm to online financial services and data security. In this paper, we design and implement an intelligent model for detecting phishing websites.
Weiwei Zhuang, Qingshan Jiang, Tengke Xiong   +2 more
openaire   +1 more source

An Approach to the Implementation of the Anti-Phishing Tool for Phishing Websites Detection

2009 International Conference on Intelligent Networking and Collaborative Systems, 2009
Phishing attacks have become a serious problem for users of online banking and e-commerce websites. A previous study proposed and evaluated a novel anti-Phishing approach that uses training intervention for Phishing websites detection (APTIPWD). The proposed approach showed that it helped users to make correct decisions in distinguishing Phishing and ...
Abdullah M. Alnajim, Malcolm Munro
openaire   +1 more source

User behaviour based phishing websites detection

2008 International Multiconference on Computer Science and Information Technology, 2008
Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach to detect phishing websites based on analysis of userspsila online behaviours - i.e., the websites users have visited, and the data users have submitted to those websites.
Xun Dong, John A. Clark, Jeremy L. Jacob
openaire   +1 more source