Anti-Spam Software for Detecting Information Attacks

Abstract

Abstract-In this paper the develop ment of anti-spam software detecting information attacks is offered. For this purpose it is considered spam filtrat ion system with the multilayered, mu ltivalent architecture, coordinating all ISP's in the country. All users and ISPs of this system involved in spam filtration p rocess. After spam filtering process, saved spam templates are analyzed and classified. This parameterizing of spam temp lates give possibility to define the thematic dependence from geographical. For example, what subjects prevail in spam messages sent from the certain countries? Analyzing origins of spam temp lates fro m spam-base, it is possible to define and solve the organized social networks of spammers. Thus, the offered system will be capable to reveal purposeful in formation attacks if those occur.

Automatic Ethical Filtering using Semantic Vectors Creating Normative Tag Cloud from Big Data

“…For cases where words and meanings do not map one on one, like in Chinese micro blogs, the trigrams of characters are taken as a point in reconstructing aggregate meanings. Such modern technique of information retrieval is referred to as Pointillism [22] and is particularly effective in detecting deviation from regular lexicon typically found in the social media.…”

“…Ethical filtering has traditionally been manual blacklisting of IPs at the DNS, ISP and HTTP level in conservative countries in Asia and The Middle East like Pakistan (Nabi, 2013), Azerbaijan (Nazirova, 2012) and Syria (Chaabane et al, 2014). Although they don't cover all sites in question, other methods of filtering have problems of their own.…”