Kanwalvir Singh Dhindsa

Work place: Dept. of CSE, Baba Banda Singh Bahadur Engg. College, Fatehgarh Sahib, Punjab, INDIA

E-mail: kdhindsa@gmail.com

Website:

Research Interests: Autonomic Computing, Network Security, Computing Platform, Data Structures and Algorithms, Mathematics of Computing

Biography

Kanwalvir S. Dhindsa is working as Professor in the department of CSE & IT at Baba Banda Singh Bahadur Engg. College, Fatehgarh Sahib (Punjab). He obtained his Ph.D. in Computer Engg. (In the field of Information Systems and Mobile Computing), and also M.Tech. degree from Punjabi University, Patiala (Punjab). He has been awarded the ‘Best Ph.D. Thesis Award’ in International conference held in association with Computer Society of India (CSI) at COER, Roorkee (Uttarakhand) in November 2014. He has guided more than 20 M. Tech. students and is currently guiding 8 Ph.D. scholars. He has authored more than 50 publications in various esteemed international journals and proceedings of national and international conferences. His current research interests are Big Data, IoT, Cloud Computing, Mobile Computing, Security and Networks.

Author Articles
Distributed Defense: An Edge over Centralized Defense against DDos Attacks

By Karanbir Singh Kanwalvir Singh Dhindsa Bharat Bhushan

DOI: https://doi.org/10.5815/ijcnis.2017.03.05, Pub. Date: 8 Mar. 2017

Distributed Denial of Service (DDoS) attack is a large-scale, coordinated attack on the availability of services of a target/victim system or network resource/service. It can be launched indirectly through many compromised machines on the Internet. The Purpose behind these attacks is exhausting the existing bandwidth and makes servers deny from providing services to legitimate users. Most detection systems depend on some type of centralized processing to analyze the data necessary to detect an attack. In centralized defense, all modules are placed on single point. A centralized approach can be vulnerable to attack. But in distributed defense, all of the defense modules are placed at different points and do not succumb to the high volume of DDoS attack and can discover the attacks timely as well as fight the attacks with more resources. These factors clearly indicate that the DDoS problem requires a distributed solution than the centralized solution. In this paper, we compare both types of defense mechanisms and identify their relative advantages and disadvantages. Later they are compared against some performance metrics to know which kind of solution is best.

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