Denial of service attacks – an updated perspective. Issue 1 (1st January 2016)

• Record Type: Journal Article
• Authors: Kumar, Gulshan
• Is Part Of: Systems science & control engineering. Volume 4:Issue 1(2016)
• Page Start: 285
• Page End: 294
• Publication Date: 2016-01-01
• Subjects: Cyber attacks -- data breaches -- denial of service attacks -- intrusions -- network security -- security intelligence -- security threats; System theory -- Periodicals; Automatic control -- Periodicals; 003.05
• DOI: 10.1080/21642583.2016.1241193
• Languages: English
• ISSNs: 2164-2583

Abstract

ABSTRACT: Network security is a specialized field consisting of the provisions and policies to prevent and monitor unauthorized access, misuse, modification or denial of a computer network and network-accessible resources as well as ensuring their availability through proper procedures. Many security mechanisms tools are being developed and deployed to defend against network attacks and to make the network computing resources available to the legitimate users. In spite of all these efforts, the organizations around the world continue to suffer security attacks specially called denial of service (DoS) attacks. DoS attacks constitute one of the major threats and among the hard security problems in today's Internet. These attacks can easily consume computing and communication resources of the victim or disrupt clog availability of resources to the intended users within a short period of time. The problem is a serious concern in today's network security field. Several defence mechanisms have been proposed to tackle the problem of DoS attacks. This paper highlights a structural way to understand DoS attacks with respect to different layers of the Open System Interconnection (OSI) reference model proposed by International Organization of Standardization. Moreover, various attack vectors, attack tools, and trends in detection and mitigation mechanisms are delineated. The goal of the paper is to communicate an updated perspective of DoS attacks and their detection and mitigation mechanisms for a better understanding of these attacks; consequently more efficient and effective mechanisms to combat these attacks may be developed.