Game Theory for Cyber Security and Privacy

2017 ◽  
Vol 50 (2) ◽  
pp. 1-37 ◽  
Author(s):  
Cuong T. Do ◽  
Nguyen H. Tran ◽  
Choongseon Hong ◽  
Charles A. Kamhoua ◽  
Kevin A. Kwiat ◽  
...  
Keyword(s):  
Game Theory ◽  
Cyber Security ◽  
Security And Privacy

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

scholarly journals A Comparative study of applications of Game Theory in Cyber Security and Cloud Computing.

2019 ◽  
Vol 155 ◽  
pp. 680-685 ◽  
Author(s):  
Vishruti Kakkad ◽  
Hitarth Shah ◽  
Reema Patel ◽  
Nishant Doshi
Keyword(s):  
Game Theory ◽  
Cloud Computing ◽  
Comparative Study ◽  
Cyber Security

Cybercrime Investigation

2017 ◽  
pp. 96-120
Author(s):  
Sujitha S. ◽  
Parkavi R.
Keyword(s):  
Law Enforcement ◽  
Cyber Security ◽  
Security And Privacy ◽  
Malware Analysis ◽  
Cyber Crime ◽  
Ddos Attacks ◽  
Enforcement Policy ◽  
Control Devices ◽  
The Law

This book chapter will be an introduction to hacking, DDOS attacks and Malware Analysis. This chapter will also describe about the cyber-crime against properties and Persons and will give a detailed description about the cyber security and privacy. This chapter will deal with the cyber-crime investigations, law enforcement policy and procedures. This chapter will also describe about the peer supporting programs for the law enforcement authorities and a detailed description about the control devices and techniques that are used by an officer. This chapter will give an opportunity to know about the evidence collecting procedures in cyber-crime and also the barriers to cybercrime investigations.

Efficient Cyber Security Framework for Smart Cities

2019 ◽  
pp. 130-157 ◽  
Author(s):  
Amtul Waheed ◽  
Jana Shafi
Keyword(s):  
Cyber Security ◽  
Smart City ◽  
Smart Cities ◽  
Cost Effective ◽  
Cyber Attacks ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Security Framework ◽  
Smart Transportation ◽  
Security Issues

Smart cities are established on some smart components such as smart governances, smart economy, science and technology, smart politics, smart transportation, and smart life. Each and every smart object is interconnected through the internet, challenging the security and privacy of citizen's sensitive information. A secure framework for smart cities is the only solution for better and smart living. This can be achieved through IoT infrastructure and cloud computing. The combination of IoT and Cloud also increases the storage capacity and computational power and make services pervasive, cost-effective, and accessed from anywhere and any device. This chapter will discuss security issues and challenges of smart city along with cyber security framework and architecture of smart cities for smart infrastructures and smart applications. It also presents a general study about security mechanism for smart city applications and security protection methodology using IOT service to stand against cyber-attacks.

Human Factors in Cybersecurity

2021 ◽  
pp. 1695-1725
Author(s):  
Xichen Zhang ◽  
Ali A. Ghorbani
Keyword(s):  
Human Factors ◽  
Cyber Security ◽  
Security And Privacy ◽  
The Internet ◽  
Online Behavior ◽  
Weakest Link ◽  
Internet Users ◽  
Daily Behavior ◽  
Privacy Issues ◽  
The Internet Of Things

Over recent years, the extensive development of information technology has dramatically advanced the way that people use the internet. The fast growth of the internet of things and mobile crowdsensing applications raise challenging security and privacy issues for the society. More often than before, malicious attackers exploit human vulnerability as the weakest link to launch cyberattacks and conduct fraudulent online activities. How to profile users' daily behavior becomes an essential component for identifying users' vulnerable/malicious level and predicting the potential cyber threats. In this chapter, the authors discuss human factors and their related issues in cyber security and privacy. Three categories of human behaviors—desktop behavior, mobile behavior, and online behavior—and their corresponding security and privacy issues are demonstrated in detail to estimate the vulnerabilities of internet users. Some future directions related to human-factor based security and privacy issues are proposed at the end of this chapter.

scholarly journals Artificial Intelligence and Game Theory Models for Defending Critical Networks with Cyber Deception

AI Magazine ◽  
2019 ◽  
Vol 40 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Sunny Fugate ◽  
Kimberly Ferguson-Walter
Keyword(s):  
Artificial Intelligence ◽  
Game Theory ◽  
Information Systems ◽  
Cyber Security ◽  
International Security ◽  
Critical Information ◽  
Hidden States ◽  
Single Path ◽  
Computing Infrastructure ◽  
Future Information

Traditional cyber security techniques have led to an asymmetric disadvantage for defenders. The defender must detect all possible threats at all times from all attackers and defend all systems against all possible exploitation. In contrast, an attacker needs only to find a single path to the defender’s critical information. In this article, we discuss how this asymmetry can be rebalanced using cyber deception to change the attacker’s perception of the network environment, and lead attackers to false beliefs about which systems contain critical information or are critical to a defender’s computing infrastructure. We introduce game theory concepts and models to represent and reason over the use of cyber deception by the defender and the effect it has on attacker perception. Finally, we discuss techniques for combining artificial intelligence algorithms with game theory models to estimate hidden states of the attacker using feedback through payoffs to learn how best to defend the system using cyber deception. It is our opinion that adaptive cyber deception is a necessary component of future information systems and networks. The techniques we present can simultaneously decrease the risks and impacts suffered by defenders and dramatically increase the costs and risks of detection for attackers. Such techniques are likely to play a pivotal role in defending national and international security concerns.

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