A Unknown Phishing Site Detection Method in the Interior Network Environment
نویسندگان
چکیده
منابع مشابه
Phishing Detection Using Neural Network
The goal of this project is to apply multilayer feedforward neural networks to phishing email detection and evaluate the effectiveness of this approach. We design the feature set, process the phishing dataset, and implement the neural network (NN) systems. We then use cross validation to evaluate the performance of NNs with different numbers of hidden units and activation functions. We also com...
متن کاملanalysis of power in the network society
اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولA Prior-based Transfer Learning Method for the Phishing Detection
In this paper, we introduce a prior-based transfer learning method for our statistical machine learning classifier which based on the logistic regression to detect the phishing sites that relies on our selected features of the URLs. Because of the mismatched distributions of the features in different phishing domains, we employ multiple models for different regions. Since it is impossible for u...
متن کاملActivity detection in unknown noise environment
In many applications there exists an array of cells (or bins), each containing either an activity (signal) plus noise, or noise only. A common problem is to identify the active bins, assuming that the noise level in the array is unknown. In this paper we present a novel approach for solving this problem. The approach is based on two steps. In the first, we estimate the noise level and in the se...
متن کاملPhishing Attacks in a Mobile Environment
There is no agreed upon definition for Phishing. Although, the medium of attack may vary, the goal is to steal confidential information from an individual. Classical Phishing attacks via mass mailing have a low return of investment rate. Generally, one mass mailing of 100,000 emails may collect between 10 to 100 victims. On the contrary, Phishing scams targeted to a specific group of people in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korea Institute of Information Security and Cryptology
سال: 2015
ISSN: 1598-3986
DOI: 10.13089/jkiisc.2015.25.2.313