NDLI: Context-aware security framework based on Traffic Anomaly Detection Indicator

Content Provider	Springer Nature Link
Author	Cuadra, Antonio Aracil, Javier
Copyright Year	2016
Abstract	Context-aware security utilizes external data, such as time of the day or user information, to improve its capability of detecting a security breach. In this paper we present a Context-aware security framework based on a Traffic Anomaly Detection Indicator (TADI) which indicates when a threat can occur. The main novelty of our approach is that we use as a context the time-based information derived from profile analysis of a typical day to determine more accurately the presence of an anomaly based on the time of day it occurs. This 24-h typical daily analysis helps us to consider the time interval (night-time, working hours, etc.) in which a potential threat occurs, in contrast to traditional sudden peak changes. First, a preliminary analysis based on historical data shows how traffic typically behaves at each particular period of the day. We subsequently calibrate our procedure by checking the effectiveness of different algorithms so that we are aware of which ones gets better performance in each period of the day. Finally the TADI is calculated from the time-based contextual information. We also present the results based on actual traffic traces collected from a campus university that show the effectiveness of the proposed method.
Starting Page	319
Ending Page	330
Page Count	12
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	65
Issue Number	2
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2016-10-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Context-aware security Traffic anomaly detection Change point detection algorithms IT in Business Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Erratum to: Security assessment framework for IoT service

A context-aware search system for Internet of Things based on hierarchical context model

An unsupervised approach for traffic trace sanitization based on the entropy spaces

Traffic aware routing in vehicular ad hoc networks: characteristics and challenges

A graphical method for detection of Flash Crowds in traffic

Congestion-aware and traffic load balancing scheme for routing in WSNs

A context-aware study for sentence ordering

Security assessment framework for IoT service

Context-aware cooperative testbed for energy analysis in beyond 4G networks

Context-aware security framework based on Traffic Anomaly Detection Indicator

Similar Documents

Erratum to: Security assessment framework for IoT service

A context-aware search system for Internet of Things based on hierarchical context model

An unsupervised approach for traffic trace sanitization based on the entropy spaces

Traffic aware routing in vehicular ad hoc networks: characteristics and challenges

A graphical method for detection of Flash Crowds in traffic

Congestion-aware and traffic load balancing scheme for routing in WSNs

A context-aware study for sentence ordering

Security assessment framework for IoT service

Context-aware cooperative testbed for energy analysis in beyond 4G networks

Context-aware security framework based on Traffic Anomaly Detection Indicator