Visible to the public "An efficient classification model for detecting advanced persistent threat"Conflict Detection Enabled

Title"An efficient classification model for detecting advanced persistent threat"
Publication TypeConference Paper
Year of Publication2015
AuthorsS. Chandran, Hrudya P, P. Poornachandran
Conference Name2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Date PublishedAug
ISBN Number978-1-4799-8792-4
Accession Number15486992
Keywordsadvanced persistent threat, advanced persistent threat detection, antivirus solutions, APTs, classification model, Cyber Attacks, feature extraction, firewalls, government agencies, international trade, Intrusion detection, intrusion prevention systems, Malware, Mathematical model, Model, Organizations, pattern classification, pubcrawl170101, targeted attack, Training, Vegetation

Among most of the cyber attacks that occured, the most drastic are advanced persistent threats. APTs are differ from other attacks as they have multiple phases, often silent for long period of time and launched by adamant, well-funded opponents. These targeted attacks mainly concentrated on government agencies and organizations in industries, as are those involved in international trade and having sensitive data. APTs escape from detection by antivirus solutions, intrusion detection and intrusion prevention systems and firewalls. In this paper we proposes a classification model having 99.8% accuracy, for the detection of APT.

Citation Key7275911