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A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof
2007
2007 IEEE Symposium on Computational Intelligence and Games
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We compare a genetic programming approach with a look-up table based approach, contrasting the performance of each in different scenarios of the game. ...
In this paper, we compare two learning techniques for strategy development in the game of Spoof, a simple guessing game of imperfect information. ...
In Section III, we introduce our adaptive approaches for building computer Spoof players through genetic programming and look-up table learning. ...
doi:10.1109/cig.2007.368080
dblp:conf/cig/WittkampBW07
fatcat:fznx473gi5gwdmn3tmzrlfnlv4
Deep Learning in the Wild
[article]
2018
arXiv
pre-print
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It thus fills a gap between the publication of latest algorithmic and methodical developments, and the usually omitted nitty-gritty of how to make them work. ...
Deep learning with neural networks is applied by an increasing number of people outside of classic research environments, due to the vast success of the methodology on a wide range of machine perception ...
Acknowledgements We are grateful for the invitation by the ANNPR chairs and the support of our business partners in Innosuisse grants 17719.1 "PANOPTES", 17963.1 "DeepScore", 25256.1 "Libra", 25335.1 " ...
arXiv:1807.04950v1
fatcat:6cb63xget5fynmjxrhzcpirvii
Deep Learning in the Wild
[chapter]
2018
Lecture Notes in Computer Science
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It thus fills a gap between the publication of latest algorithmic and methodical developments, and the usually omitted nitty-gritty of how to make them work. ...
Deep learning with neural networks is applied by an increasing number of people outside of classic research environments, due to the vast success of the methodology on a wide range of machine perception ...
Acknowledgements We are grateful for the invitation by the ANNPR chairs and the support of our business partners in Innosuisse grants 17719.1 "PANOPTES", 17963.1 "DeepScore", 25256.1 "Libra", 25335.1 " ...
doi:10.1007/978-3-319-99978-4_2
fatcat:gmpuuzlio5ea3ck75fekk3ab7y
Distributed Denial-of-Service (DDoS) Attacks and Defence Mechanisms in Various Web-enabled Computing Platforms
2022
International Journal on Semantic Web and Information Systems (IJSWIS)
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The attackers protect their anonymity by infecting distributed devices and utilizing them to create a bot army to constitute a large-scale attack. ...
The demand for Internet security has escalated in the last two decades because the rapid proliferation in the number of Internet users has presented attackers with new detrimental opportunities. ...
Table 5 presents a comparison of multiple DDoS defense approaches that utilize machine learning algorithms along with their strengths and weaknesses. ...
doi:10.4018/ijswis.297143
fatcat:imoau72665dxbmfdoxvntbyyiq
Recent Advancements in Intrusion Detection Systems for the Internet of Things
2019
Security and Communication Networks
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Besides looking on approaches developed particularly for IoT, we introduce also work for the three similar network types mentioned above and discuss if they are also suitable for IoT systems. ...
Often, the limited processing resources do not allow the use of standard security mechanisms on the nodes, making IoT applications quite vulnerable to different types of attacks. ...
Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper. ...
doi:10.1155/2019/4301409
fatcat:qupk6elzcvbkrarqf25epmjdci
A Survey on Machine-Learning Techniques for UAV-Based Communications
2019
Sensors
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In this context, the machine-learning (ML) framework is expected to provide solutions for the various problems that have already been identified when UAVs are used for communication purposes. ...
In this article, we provide a detailed survey of all relevant research works, in which ML techniques have been used on UAV-based communications for improving various design and functional aspects such ...
So, an ESN-based DRL framework for online UAV trajectory optimization is presented and a noncooperative game is formulated consisting of the UAVs as the players and having the objective of learning their ...
doi:10.3390/s19235170
pmid:31779133
pmcid:PMC6929112
fatcat:pnur7lmpj5bj7poebmdfpd6bhi
Foreword of Special Issue on "Nomadic Services and Applications"
2011
Journal of Networks
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a) The result of first method
A program is designed to carry out ARP Spoofing and
DNS Spoofing. With the OpenSSL library, two modules
are designed to tamper certificate and forward SSL data. ...
In addition, the design of the
users a high participation rate of the game and learning. ...
doi:10.4304/jnw.6.5.687-688
fatcat:3qws6kqycnffxnh6n6th6ioc5a
Survey on synchrophasor data quality and cybersecurity challenges, and evaluation of their interdependencies
2018
Journal of Modern Power Systems and Clean Energy
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This paper conducts a comprehensive review of quality and cybersecurity challenges for synchrophasors, and identifies the interdependencies between them. ...
In doing so, this paper serves as a starting point for researchers entering the fields of synchrophasor data analytics and security. ...
More recent solutions include game theory, machine learning, proactive data visualization, and defense-indepth [12, 123] . ...
doi:10.1007/s40565-018-0473-6
fatcat:sw5vt7jdvjc3jml7ylpx3kp2ja
INTRUSION DETECTION SYSTEMS: A REVIEW
2017
International Journal of Advanced Research in Computer Science
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the Intrusion Detection System (IDS) and to develop a morphological framework for IDS for easy understanding. ...
Given the exponential growth of Internet and increased availability of bandwidth, Intrusion Detection has become the critical component of Information Security and the importance of secure networks has ...
Learning Rule for Anomaly Detection (LERAD): This uses a rule based learning algorithm to pick up good rules rather than fixed set of rules and it is first method to characterize the normal behaviour in ...
doi:10.26483/ijarcs.v8i8.4703
fatcat:gbd4sfehwjd6vktthnlp7jfhoa
Opponent modeling and exploitation in poker using evolved recurrent neural networks
2018
Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '18
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Empirical game-theoretic analysis showed that spoofing can be profitable in a market with heuristic belief learning traders. ...
As the game proceeds, five cards are dealt face up on the table. Each of them is a community card, and the set of community cards is called the board. ...
doi:10.1145/3205455.3205589
dblp:conf/gecco/LiM18
fatcat:z66onqk6xjfdtk7url4fjssa54
Some Research Problems in Biometrics: The Future Beckons
[article]
2019
arXiv
pre-print
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The need for reliably determining the identity of a person is critical in a number of different domains ranging from personal smartphones to border security; from autonomous vehicles to e-voting; from ...
Biometrics, which entails the use of biological attributes such as face, fingerprints and voice for recognizing a person, is being increasingly used in several such applications. ...
, such as India's Unique ID program that uses face, fingerprint and iris; (c) development of robust matching techniques for various biometric modalities based on Deep Learning; (d) investigation of previously ...
arXiv:1905.04717v1
fatcat:n6q2a7oa6jckzd4cinpph5xebm
SoK: Applying Machine Learning in Security - A Survey
[article]
2016
arXiv
pre-print
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Based on our survey, we also suggest a point of view that treats security as a game theory problem instead of a batch-trained ML problem. ...
The idea of applying machine learning(ML) to solve problems in security domains is almost 3 decades old. ...
We emphasize a position which treats security as a game theory problem. ...
arXiv:1611.03186v1
fatcat:hfvc5hhu7ze77lrnjufslcg6gm
Are Self-Driving Vehicles Ready to Launch? An Insight into Steering Control in Autonomous Self-Driving Vehicles
2021
Mathematical Problems in Engineering
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In this regard, we present a comprehensive study considering the evolution of steering control methods for self-driving vehicles. ...
To the best of our knowledge, currently, there is no taxonomy available, which elaborates steering control methods for self-driving vehicles. ...
(c) Dynamic programming Nonmodel-based adaptive dynamic programming (ADP) enabled steering control methods are also motivated by control, biological learning, and enhanced learning. ...
doi:10.1155/2021/6639169
fatcat:btneip645ra4denpv2trdddnui
MAINTAINING CLOUD PERFORMANCE UNDER DDOS ATTACKS
2019
Zenodo
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The results show the great effect of the MLD to reduce the energy consumption and the overall SLA violation for all datasets. ...
This paper proposes a Multiple Layer Defense (MLD) scheme to detect and mitigate DDoS attacks which due to resource depletion. The MLD consists of two layers. ...
The main reason is that the VM of the DDoS attacks is looking for free provisions for hosting. If there are no free allowances, an inactive host wakes up. ...
doi:10.5281/zenodo.3564217
fatcat:kucix7m4hjbn7danh3tlo4arca
A Comprehensive Survey for Intelligent Spam Email Detection
2019
IEEE Access
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This survey paper describes a focused literature survey of Artificial Intelligence (AI) and Machine Learning (ML) methods for intelligent spam email detection, which we believe can help in developing appropriate ...
like email and IP address of each sender and recipient of where the email originated and what stopovers, and final destination. ...
Although the sample in Table 7 shows disproportionate number of research works for these two types of methods in comparison to supervised learning, but the following Scatterplots and Standard Deviation ...
doi:10.1109/access.2019.2954791
fatcat:ikt6cayggbb2dkrm52fxzz2dqm
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