scholarly journals S-DPS: An SDN-Based DDoS Protection System for Smart Grids

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Hassan Mahmood ◽  
Danish Mahmood ◽  
Qaisar Shaheen ◽  
Rizwan Akhtar ◽  
Wang Changda
Keyword(s):  
Smart Grids ◽  
Defense Mechanisms ◽  
Defense Mechanism ◽  
Dynamic Network ◽  
Software Defined Networking ◽  
Power Grids ◽  
Protection System ◽  
Centralized Control ◽  
Detection Mechanism ◽  
Security Technologies

Information Communication Technology (ICT) environment in traditional power grids makes detection and mitigation of DDoS attacks more challenging. Existing security technologies, besides their efficiency, are not adequate to cater to DDoS security in Smart Grids (SGs) due to highly distributed and dynamic network environments. Recently, emerging Software Defined Networking- (SDN-) based approaches are proposed by researchers for SG’s DDoS protection; however, they are only able to protect against flooding attacks and are dependent on static thresholds. The proposed approach, i.e., Software Defined Networking-based DDoS Protection System (S-DPS), is efficiently addressing these issues by employing light-weight Tsallis entropy-based defense mechanisms using SDN environment. It provides early detection mechanism with mitigation of anomaly in real time. The approach offers the best deployment location of defense mechanism due to the centralized control of network. Moreover, the employment of a dynamic threshold mechanism is making detection process adaptive to the changing network conditions. S-DPS has demonstrated its effectiveness and efficiency in terms of Detection Rate (DR) and minimal CPU/RAM utilization, considering DDoS protection focusing smurf attacks, socket stress attacks, and SYN flood attacks.

scholarly journals SDNDefender: A Comprehensive DDoS Defense Mechanism Using Hybrid Approaches over Software Defined Networking

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Tianfang Yu ◽  
Lanlan Rui ◽  
Xuesong Qiu
Keyword(s):  
Network Architecture ◽  
Defense Mechanism ◽  
Software Defined Networking ◽  
Transport Layer ◽  
Global Network ◽  
Control Mode ◽  
Detection Accuracy ◽  
Centralized Control ◽  
Ddos Attacks ◽  
Network Bandwidth

In traditional networks, DDoS attacks are often launched in the network layer or the transport layer. Researchers had explored this problem in depth and put forward plenty of solutions. However, these solutions are only suitable for scenarios such as a single link or victim side network and could not analyse traffic distribution from the angle of the global network. Also, the TCP/IP network architecture lacks abilities to quickly conduct resource deployment and traffic scheduling. When DDoS attacks occur, victims usually could not respond in time. With the superiorities of centralized control mode and global topological view, Software-Defined Networking (SDN) provides a new way to get over the above issues. In this paper, we adopt a combination of diverse technologies to design SDNDefender, a SDN-based DDoS detection and defense mechanism, which is composed of two core components aiming to counter the most popular DDoS attacks including IP spoofing attack and TCP SYN flood attack. We carry out quantitative simulation experiments for evaluating SDNDefender from many metrics. The experimental results show that in contrast to other DDoS defense algorithms, SDNDefender not only efficiently validates spoofed packets and withstands well-known attacks but also defends unknown attacks according to the target’s available resources. Besides, SDNDefender could significantly reduce TCP half-open connections and improve detection accuracy, alleviating attack influences that exhaust the server’s resources and network bandwidth.

Software-defined Networking Based DDoS Defense Mechanisms

2020 ◽  
Author(s):  
Rochak Swami ◽  
Mayank Dave ◽  
Virender Ranga
Keyword(s):  
Defense Mechanisms ◽  
Control Mechanism ◽  
State Of The Art ◽  
Denial Of Service ◽  
Research Work ◽  
Software Defined Networking ◽  
Centralized Control ◽  
Ongoing Research ◽  
Denial Of Service Attack ◽  
Service Attack

Distributed Denial of Service attack (DDoS) is recognized to be one of the catastrophic attacks against various digital communication entities. Software-defined networking (SDN) is an emerging technology for computer networks that uses open protocols for controlling switches and routers placed at the network edges by using specialized open programmable interfaces. In this paper, a detailed study on DDoS threats prevalent in SDN is presented. Firstly, SDN features are examined from the perspective of security, and then, a discussion on assessment of SDN security features is done. Further, two viewpoints towards protecting the networks against DDoS attacks are elaborated. In the first view, SDN utilizes its abilities to secure the conventional networks. In the second view, SDN may become a victim of the threats itself because of the centralized control mechanism. The main focus of this research work is towards discovering critical security implications in SDN while reviewing the current ongoing research studies. By emphasizing the available state of the art techniques, an extensive review towards the advancement of the SDN security is provided to the researchers and IT communities.

scholarly journals A Proposed DoS Detection Scheme for Mitigating DoS Attack Using Data Mining Techniques

Computers ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 85 ◽  
Author(s):  
Djanie ◽  
Tutu ◽  
Dzisi
Keyword(s):  
Defense Mechanisms ◽  
Defense Mechanism ◽  
Computer Network ◽  
Denial Of Service ◽  
Svm Classifier ◽  
Detection Accuracy ◽  
Dos Attack ◽  
Detection Mechanism ◽  
Detection Scheme ◽  
Using Data

A denial of service (DoS) attack in a computer network is an attack on the availability of computer resources to prevent users from having access to those resources over the network. Denial of service attacks can be costly, capable of reaching $100,000 per hour. Development of easily-accessible, simple DoS tools has increased the frequency and reduced the level of expertise needed to launch an attack. Though these attack tools have been available for years, there has been no proposed defense mechanism targeted specifically at them. Most defense mechanisms in literature are designed to defend attacks captured in datasets like the KDD Cup 99 dataset from 20 years ago and from tools no longer in use in modern attacks. In this paper, we capture and analyze traffic generated by some of these DoS attack tools using Wireshark Network Analyzer and propose a signature-based DoS detection mechanism based on SVM classifier to defend against attacks launched by these attack tools. Our proposed detection mechanism was tested with Snort IDS and compared with some already existing defense mechanisms in literature and had a high detection accuracy, low positive rate and fast detection time.

scholarly journals Software-defined Networking Based DDoS Defense Mechanisms

2020 ◽  
Author(s):  
Rochak Swami ◽  
Mayank Dave ◽  
Virender Ranga
Keyword(s):  
Defense Mechanisms ◽  
Control Mechanism ◽  
State Of The Art ◽  
Denial Of Service ◽  
Research Work ◽  
Software Defined Networking ◽  
Centralized Control ◽  
Ongoing Research ◽  
Denial Of Service Attack ◽  
Service Attack

Distributed Denial of Service attack (DDoS) is recognized to be one of the catastrophic attacks against various digital communication entities. Software-defined networking (SDN) is an emerging technology for computer networks that uses open protocols for controlling switches and routers placed at the network edges by using specialized open programmable interfaces. In this paper, a detailed study on DDoS threats prevalent in SDN is presented. Firstly, SDN features are examined from the perspective of security, and then, a discussion on assessment of SDN security features is done. Further, two viewpoints towards protecting the networks against DDoS attacks are elaborated. In the first view, SDN utilizes its abilities to secure the conventional networks. In the second view, SDN may become a victim of the threats itself because of the centralized control mechanism. The main focus of this research work is towards discovering critical security implications in SDN while reviewing the current ongoing research studies. By emphasizing the available state of the art techniques, an extensive review towards the advancement of the SDN security is provided to the researchers and IT communities.

The Use of the Defense Mechanism Test to Aid in Understanding the Personality of Senior Executives and the Implications for Their Careers

2009 ◽  
Vol 30 (1) ◽  
pp. 73-96 ◽  
Author(s):  
Olya Khaleelee
Keyword(s):  
Crisis Intervention ◽  
Defense Mechanisms ◽  
Defense Mechanism ◽  
Senior Executives ◽  
Ideal Types ◽  
The Individual ◽  
Test Profiles ◽  
Real Test

This paper describes the use of the Defense Mechanism Test as an aid in helping to assess senior executives in four areas: for selection, development, career strategy, and crisis intervention. The origins of this test, developed to measure the defense mechanisms used to protect the individual from stress, are described. The paper shows how it was used to predict the capacity of trainee fighter pilots to withstand stress and its later application to other stressful occupations. Finally, some ideal types of the test are shown followed by four real test profiles, two of them with their associated histories.

A Study of Memory and Psychological Defense Mechanism in Julian Barnes’s The Sense of an Ending

2019 ◽  
Author(s):  
Hossein Aliakbari Harehdasht ◽  
Zahra Ekbatäni
Keyword(s):  
Defense Mechanisms ◽  
Defense Mechanism ◽  
Human Mind ◽  
The Novel ◽  
Psychological Defense ◽  
Julian Barnes ◽  
Self Image

In The Sense of an Ending, Julian Barnes portrays the mysterious workings of the human mind as it distorts facts towards the end of a self-image that one can live with. The protagonist in the novel deploys certain psychological defense mechanisms in order to protect himself from feelings of anxiety, only to experience even more profound anxiety due to his excessive use of them. The significance of the present paper lies in its novel view of the book. So far, the critique on the novel has mainly been focused on the workings of time on memory; however, the present paper investigates how psychological defense mechanisms blur the protagonist’s perception of reality and distort his memories. This paper also attempts to attract scholarly interest in the study of psychological defense mechanisms in the study of The Sense of an Ending which has so far been to the best of our knowledge overlooked

scholarly journals Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4776
Author(s):  
Seyed Mahdi Miraftabzadeh ◽  
Michela Longo ◽  
Federica Foiadelli ◽  
Marco Pasetti ◽  
Raul Igual
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Smart Grids ◽  
State Of The Art ◽  
Smart Cities ◽  
Power Grids ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
New Research ◽  
Traditional Approaches

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

scholarly journals STHM: A Secured and Trusted Healthcare Monitoring Architecture Using SDN and Blockchain

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1787
Author(s):  
Ezedin Barka ◽  
Sofiane Dahmane ◽  
Chaker Abdelaziz Kerrache ◽  
Mohamad Khayat ◽  
Farag Sallabi
Keyword(s):  
Monitoring System ◽  
Trust Management ◽  
Software Defined Networking ◽  
The Elderly ◽  
Optimal Level ◽  
Security And Privacy ◽  
Patient Privacy ◽  
Security Technologies ◽  
Blockchain Technology ◽  
Healthcare Monitoring

Healthcare professionals and scholars have emphasized the need for IoT-based remote health monitoring services to track the health of the elderly. Such systems produce a large amount of data, necessitating the security and privacy of that data. On the other hand, Software Defined Networking (SDN) integration could be seen as a good solution to guarantee both flexibility and efficiency of the network which is even more important in the case of healthcare monitoring. Furthermore, Blockchain has recently been proposed as a game-changing tool that can be integrated into the Internet of Things (IoT) to have the optimal level of security and privacy. However, incorporating Blockchain into IoT networks, which rely heavily on patients’ health sensors, is extremely difficult. In this paper, a secure Healthcare Monitoring System (HMS) is proposed with a focus on trust management issues. The architecture seeks to protect multiple healthcare monitoring system components and preserves patient privacy by developing a security interface where separate security modules can be integrated to run side by side to ensure reliable HMS. The security framework architecture we propose takes advantage of the blockchain technology as a secure and timely information back-end. STHM is a proposal that uses Software-Defined Networking (SDN) as the communication medium that allows users to access SDN’s different functional and security technologies and services. Simulation results show that the use of Blockchain for the SDN-based healthcare monitoring can ensure the desired flexibility and security for a very lightweight additional overhead.

Comparison of Defense Mechanisms Utilized in Perception by Congenitally Blind and Sighted Respondents

1984 ◽  
Vol 55 (1) ◽  
pp. 228-230
Author(s):  
Sam Minskoff ◽  
John M. Curtis
Keyword(s):  
Defense Mechanisms ◽  
Defense Mechanism ◽  
Ego Defenses ◽  
Congenitally Blind

The present study examined specific defense mechanisms involved in perceptions of congenitally blind and sighted respondents. The Defense Mechanism Inventory was given 30 blind and 30 sighted subjects, randomly selected. One-way analyses of variance on specific defenses indicated nonsignificant differences between the groups who tended to show comparable patterns of ego defenses. Findings suggest any discrepancies in perception between such groups are not likely based on differences in the use of various defense mechanisms as measured by the Defense Mechanism Inventory.

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