scholarly journals A Survey on DDoS Attack and Defense Strategies: From Traditional Schemes to Current Techniques

2013 ◽  
Vol 19 (2) ◽  
pp. 173-200 ◽  
Author(s):  
Muhammad AAMIR ◽  
Mustafa Ali ZAIDI
Keyword(s):  
Defense Strategies ◽  
Ddos Attack ◽  
Attack And Defense

scholarly journals Defending Application Layer DDoS Attacks via Multidimensional Parallelotope

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xiaolin Zhao ◽  
Hui Peng ◽  
Xiang Li ◽  
Yue Li ◽  
Jingfeng Xue ◽  
...  
Keyword(s):  
Specific Property ◽  
Complex Form ◽  
Risk Level ◽  
Network System ◽  
Application Layer ◽  
Network Attack ◽  
Defense Strategies ◽  
Ddos Attack ◽  
Attack And Defense ◽  
Network Risk

The Internet is more and more integrated into people’s life; because of the complexity and fragility of the network environment, network attack presents a more and more serious trend. Application Layer DDoS (AL-DDoS) attack is the most complex form of DDoS attack, which is hindering the availability for the legitimate users by taking up a large number of requests of web server. The paper introduced the concept of behavior utility to portray the network. The concept of attack and defense utility was defined by a specific property which was the manifestation of the network risk after the offset of attack and defense. In the utility model, traffic metrics were mapped to the multidimensional parallelotope in the Euclidean space to express as a diagonal matrix. To determine the threshold status, the defense strategies of load balancing and limiting the maximum number of connections were used with different attack scales. Finally, the attack and defense utility value was calculated to evaluate the network risk level. The proposed method can master the capacity of network system against each attack means and the defense capability of network system. Its availability and accuracy are verified by comparing with the relevant works.

Tracing the Ghosts in Our Ethical Shells

2020 ◽  
Author(s):  
Tam ngoc Nguyen
Keyword(s):  
Language Processing ◽  
Behavioral Science ◽  
Model Development ◽  
Continuous Model ◽  
Research Approach ◽  
Information Warfare ◽  
Scientific Model ◽  
Defense Strategies ◽  
Ethical Behaviors ◽  
Attack And Defense

We proposes a new scientific model that enables the ability to collect evidence, and explain the motivations behind people's cyber malicious/ethical behaviors. Existing models mainly focus on detecting already-committed actions and associated response strategies, which is not proactive. That is the reason why little has been done in order to prevent malicious behaviors early, despite the fact that issues like insider threats cost corporations billions of dollars annually, and its time to detection often lasts for more than a year.We address those problems by our main contributions of:+ A better model for ethical/malicious behavioral analysis with a strong focus on understanding people's motivations. + Research results regarding ethical behaviors of more than 200 participants, during the historic Covid-19 pandemic. + Novel attack and defense strategies based on validated model and survey results. + Strategies for continuous model development and integration, utilizing latest technologies such as natural language processing, and machine learning. We employed mixed-mode research approach of: integrating and combining proven behavioral science models, case studying of hackers, survey research, quantitative analysis, and qualitative analysis. For practical deployments, corporations may utilize our model in: improving HR processes and research, prioritizing plans based on the model's informed human behavioral metrics, better analysis in existing or potential cyber insider threat cases, generating more defense tactics in information warfare and so on.

Anatomy of SIP registration removal attack and defense strategies

2014 ◽  
Author(s):  
Ismail Melih Tas ◽  
Onur Ozbirecikli ◽  
Ugur Cagai ◽  
Erhan Taskin ◽  
Huseyin Tas
Keyword(s):  
Defense Strategies ◽  
Attack And Defense

scholarly journals Cycle-Consistent Adversarial GAN: The Integration of Adversarial Attack and Defense

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Lingyun Jiang ◽  
Kai Qiao ◽  
Ruoxi Qin ◽  
Linyuan Wang ◽  
Wanting Yu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
Small Magnitude ◽  
Defense Strategies ◽  
Adversarial Examples ◽  
Adversarial Attack ◽  
Public Datasets ◽  
Attack And Defense

In image classification of deep learning, adversarial examples where input is intended to add small magnitude perturbations may mislead deep neural networks (DNNs) to incorrect results, which means DNNs are vulnerable to them. Different attack and defense strategies have been proposed to better research the mechanism of deep learning. However, those researches in these networks are only for one aspect, either an attack or a defense. There is in the improvement of offensive and defensive performance, and it is difficult to promote each other in the same framework. In this paper, we propose Cycle-Consistent Adversarial GAN (CycleAdvGAN) to generate adversarial examples, which can learn and approximate the distribution of the original instances and adversarial examples, especially promoting attackers and defenders to confront each other and improve their ability. For CycleAdvGAN, once the GeneratorA and D are trained, GA can generate adversarial perturbations efficiently for any instance, improving the performance of the existing attack methods, and GD can generate recovery adversarial examples to clean instances, defending against existing attack methods. We apply CycleAdvGAN under semiwhite-box and black-box settings on two public datasets MNIST and CIFAR10. Using the extensive experiments, we show that our method has achieved the state-of-the-art adversarial attack method and also has efficiently improved the defense ability, which made the integration of adversarial attack and defense come true. In addition, it has improved the attack effect only trained on the adversarial dataset generated by any kind of adversarial attack.

scholarly journals Attack and Defense Strategies for Intrusion Detection in Autonomous Distributed IoT Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 168994-169009
Author(s):  
Hamid Al-Hamadi ◽  
Ing-Ray Chen ◽  
Ding-Chau Wang ◽  
Meshal Almashan
Keyword(s):  
Intrusion Detection ◽  
Defense Strategies ◽  
Attack And Defense

scholarly journals Stability and Topology of Scale-Free Networks under Attack and Defense Strategies

2005 ◽  
Vol 94 (18) ◽  
Author(s):  
Lazaros K. Gallos ◽  
Reuven Cohen ◽  
Panos Argyrakis ◽  
Armin Bunde ◽  
Shlomo Havlin
Keyword(s):  
Defense Strategies ◽  
Scale Free ◽  
And Topology ◽  
Scale Free Networks ◽  
Attack And Defense

Dynamic game model of botnet DDoS attack and defense

2016 ◽  
Vol 9 (16) ◽  
pp. 3127-3140 ◽  
Author(s):  
Yichuan Wang ◽  
Jianfeng Ma ◽  
Liumei Zhang ◽  
Wenjiang Ji ◽  
Di Lu ◽  
...  
Keyword(s):  
Dynamic Game ◽  
Game Model ◽  
Ddos Attack ◽  
Dynamic Game Model ◽  
Attack And Defense
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