Controlling Spam by Secure Internet Content Selection

نویسنده

  • Amir Herzberg
چکیده

Unsolicited and undesirable e-mail (spam) is a growing problem for Internet users and service providers. We present the Secure Internet Content Selection (SICS) protocol, an efficient cryptographic mechanism for spam-control, based on allocation of responsibility (liability). With SICS, e-mail is sent with a content label, and a cryptographic protocol ensures labels are authentic and penalizes falsely labeled e-mail (spam). The protocol supports trusted senders (penalized by loss of trust) and unknown senders (penalized financially). The recipient can determine the compensation amount for falsely labeled e-mail (spam)). SICS is practical, with negligible overhead, gradual adoption path, and use of existing relationships; it is also flexible and appropriate for most scenarios, including deployment by end users and/or ISPs and support for privacy and legitimate, properly labeled commercial e-mail. SICS improves on other crypto-based proposals for spam controls, and complements non-cryptographic spam controls.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Novel Hybrid Approach for Email Spam Detection based on Scatter Search Algorithm and K-Nearest Neighbors

Because cyberspace and Internet predominate in the life of users, in addition to business opportunities and time reductions, threats like information theft, penetration into systems, etc. are included in the field of hardware and software. Security is the top priority to prevent a cyber-attack that users should initially be detecting the type of attacks because virtual environments are not moni...

متن کامل

A Fuzzy Adaptive Multi-Population Parallel Genetic Algorithm for Spam Filtering

Nowadays, e-mail is one of the most inexpensive and expeditious means of communication. However, a principal problem of any internet user is the increasing number of spam, and therefore an efficient spam filtering method is imperative. Feature selection is one of the most important factors, which can influence the classification accuracy rate. To improve the performance of spam prediction, this...

متن کامل

Feature Selection-model-based Content Analysis for Combating Web Spam

With the increasing growth of Internet and World Wide Web, information retrieval (IR) has attracted much attention in recent years. Quick, accurate and quality information mining is the core concern of successful search companies. Likewise, spammers try to manipulate IR system to fulfil their stealthy needs. Spamdexing, (also known as web spamming) is one of the spamming techniques of adversari...

متن کامل

Inspecting spam: unsolicited communications on the internet

INTRODUCTION Much coverage of the Internet focuses on undesirable, sometimes intrusive, communication, often referred to as “spam.” Spam has been decried as antisocial, wasteful, and/or fraudulent, with individuals, organizations, and media reports widely advocating regulation or outright banning of the practice, yet no uniform definition exists. Participants in the electronic communication and...

متن کامل

Filtering Network Spam Message using Approximated Logistic Regression

The development of telecom network and Internet provides effective ways for communication. As an important way in communication, Short Messaging Service (SMS) via both telecom network and Internet has played an increasing important role in daily life. However, it usually suffers from spam SMS that causes misunderstanding and cheat. The highly varying content, network environment make the identi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004