Assessment Of The Status Of Spam In The Kingdom Of Saudi Arabia
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Al-Kadhi, Mishaal Abdullah (Author) |
| المجلد/العدد: | مج23, ع2 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2011
|
| الصفحات: | 45 - 58 |
| DOI: |
10.33948/0584-023-002-001 |
| ISSN: |
1319-1578 |
| رقم MD: | 971951 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Spam | Spam Statics | Spam Current State | Spam Baseline | SMS Spam
|
| رابط المحتوى: |
| المستخلص: |
Spam is a serious threat to Information and Communications Technology (ICT) worldwide. It is used to not only transmit unsolicited messages, but also malware of every stripe and to propagate various types of phishing schemes. Spam has become so internationally wide-spread that in some regions it represents over 90% of the total e-mail traffic. The purpose of this paper is to report the findings of the study commissioned by the Communications and Information Technology Commission to ascertain the magnitude of spam in the Kingdom of Saudi Arabia and formulate a comprehensive multi-pronged solution for handling spam in Saudi Arabia based upon best international practices, current situation and national requirements. This paper will only focus on determining the current state of spam in KSA, focusing on obtaining a good understanding of the nature and prevalence of spam within Saudi Arabia. This information will then form the basis upon which the anti-spam national strategy framework will be based. The study was compiled using the statistics that were gathered from stakeholders via different means including questionnaires, interviews and meetings. It covers e-mail, mobile and fax spam. It also highlights some of the stakeholders’ concerns and recommendations regarding spam, as well as the measures taken by these stakeholders to control spam in their networks. |
|---|---|
| ISSN: |
1319-1578 |
عناصر مشابهة
-
Investigation of Three Machine Learning Models for the Detection of Emails Spam
بواسطة: Almabrouk, Abdulsalam Ashour منشور: (2023) -
Improved Spam Detection using DBSCAN and Advanced Digest Algorithm
بواسطة: Ahmed, Alaa H. منشور: (2013) -
Evaluation of Spam Impact on Arabic Websites Popularity
بواسطة: Al Kabi, Mohammed Naji منشور: (2015) -
Assessing E-Government Readiness in the Kingdom of Saudi Arabia
بواسطة: Al Qaisoum, Abd Allah Mattoq Abd Allah منشور: (2009) -
Political Development in the Kingdom of Saudi Arabia : An Assessment of the Majlis Ash-Shura
بواسطة: Al Saud, Faisal Bin Misha'al منشور: (1990)
