Results 91 to 100 of about 7,019 (217)

A Lightweight Anti-Phishing Technique for Mobile Phone

, 2017
Mobile phones have become an essential device for accessing the web. This is due to the advantages of portability, lower cost and ease. However, the adoption of mobile phones for online activities is now being challenged by myriads of cybercrimes. One of
Ayobami Oke, Misturah Adunni Alaran, Abdul Abiodun Orunsolu, Sakiru Oluyemi Kareem, Adeleke Amos Adebayo   +4 more
core   +1 more source

OFF-The-Hook: A Tool to Detect Zero-Font and Traditional Phishing Attacks in Real Time

Applied System Innovation
Phishing attacks continue to pose serious challenges to cybersecurity, with attackers constantly refining their methods to bypass detection systems. One particularly evasive technique is Zero-Font phishing, which involves the insertion of invisible or ...
Nazar Abbas Saqib, Zahrah Ali AlMuraihel, Reema Zaki AlMustafa, Farah Amer AlRuwaili, Jana Mohammed AlQahtani, Amal Aodah Alahmadi, Deemah Alqahtani, Saad Abdulrahman Alharthi, Sghaier Chabani, Duaa Ali AL Kubaisy   +9 more
doaj   +1 more source

Phishlimiter: A Phishing Detection and Mitigation Approach Using Software-Defined Networking

IEEE Access, 2018
Phishing is one of the most harmful social engineering techniques to subdue end users where threat actors find a chance to gain access to critical information systems.
Tommy Chin, Kaiqi Xiong, Chengbin Hu
doaj   +1 more source

PhishOFE: A Novel Machine Learning Framework for Real-Time Phishing URL Detection With Optimized Feature Engineering

IEEE Access
With the rapid expansion of the internet and the growing sophistication of cyber threats, phishing attacks have become a serious cybersecurity challenge for individuals and organizations.
Yanche Ari Kustiawan, Khairil Imran Ghauth   +1 more
doaj   +1 more source

Phishing Website Detection

Indian Journal of Data Mining
Phishing websites have emerged as a serious security risk. Phishing is the starting point for many cyberattacks that compromise the confidentiality, integrity, and availability of customer and business data. Decades of effort have gone into developing novel methods for automatically identifying phishing websites.
null Joshma K J, Vineetha Sankar P
openaire   +3 more sources

A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators. [PDF]

Sensors (Basel), 2023
Aldakheel EA, Zakariah M, Gashgari GA, Almarshad FA, Alzahrani AIA.   +4 more
europepmc   +1 more source

Applications of deep learning for phishing detection: a systematic literature review. [PDF]

Knowl Inf Syst, 2022
Catal C, Giray G, Tekinerdogan B, Kumar S, Kumar S, Kumar S, Shukla S.   +6 more
europepmc   +1 more source

Detecting and Characterizing Lateral Phishing at Scale

CoRR, 2019
Extended report of conference paper presented at the 26th USENIX Security Symposium (USENIX Security 19).
Ho, G, Cidon, A, Gavish, L, Schweighauser, M, Paxson, V, Savage, S, Voelker, GM, Wagner, D   +7 more
openaire   +4 more sources

AI-Driven Phishing Detection: Enhancing Cybersecurity with Reinforcement Learning

Journal of Cybersecurity and Privacy
Phishing remains a persistent cybersecurity threat, often bypassing traditional detection methods due to evolving attack techniques. This study presents a Reinforcement Learning (RL)-based phishing detection framework, leveraging a Deep Q-Network (DQN ...
Haidar Jabbar, Samir Al-Janabi
doaj   +1 more source

A Case-Based Reasoning Approach for Automatic Adaptation of Classifiers in Mobile Phishing Detection

Journal of Computer Networks and Communications, 2019
Currently, the smartphone contains lots of sensitive information. The increasing number of smartphone usage makes it more interesting for phishers. Existing phishing detection techniques are performed on their specific features with selected classifiers ...
San Kyaw Zaw, Sangsuree Vasupongayya
doaj   +1 more source