Cyber Security: Threat Identification, Risk and Vulnerability Assessment

2011 ◽  
pp. 247-269 ◽  
Author(s):  
Harold Umberger ◽  
Adrian Gheorghe
Keyword(s):  
Vulnerability Assessment ◽  
Cyber Security ◽  
Security Threat

scholarly journals Understanding Awareness of Cyber Security Threat among IT Employees

2018 ◽  
Author(s):  
Hamad Al-Mohannadi ◽  
Irfan Awan ◽  
Jassim Al Hamar ◽  
Yousef Al Hamar ◽  
Mohammad Shah ◽  
...  
Keyword(s):  
Cyber Security ◽  
Security Threat ◽  
It Employees

Pragmatic Solutions to Cyber Security Threat in Indian Context

2017 ◽  
pp. 172-176
Author(s):  
Cosmena Mahapatra
Keyword(s):  
Cyber Security ◽  
Event Management ◽  
Security Threat ◽  
Cyber Defense ◽  
Cyber Terrorism ◽  
Indian Context ◽  
Banking Networks ◽  
Security Information

Recent attacks on Indian Bank customers have exposed the vulnerability of banking networks in India and the ignorance that prevails in the system. Unlike their foreign counterparts Indian banking networks are not aware of solutions easily available in market to counter cyber theft and cyber terrorism. SIEM or Security Information and Event Management is one such solution which could have easily negated these attacks. This chapter focuses on studying various cyber security mechanisms including SIEM for implementation of cyber defense effectively.

The Rigorous Security Risk Management Model

2018 ◽  
pp. 1299-1317
Author(s):  
Neila Rjaibi ◽  
Latifa Ben Arfa Rabai
Keyword(s):  
Risk Management ◽  
Cyber Security ◽  
Linear Models ◽  
Management Model ◽  
Security Risk ◽  
Security Threat ◽  
Risk Management Process ◽  
Failure Cost ◽  
The Mean ◽  
Security Risk Management

This chapter presents the security concepts terminologies (threat, risk, security risk management, security risk management process, security threat model) and present the state of the art of security risk management models, compare and discuss strengths and weaknesses of such models. Then it presents the Mean Failure Cost (MFC) model for quantifying security threats as a rigorous measure of cyber security, and as a cascade of linear models in order to estimate the system security using the loss of a given stakeholders as a result of security breakdown. Finally it presents an overview of the applicability of the MFC measure to e-systems. In the conclusion, the chapter criticizes the MFC Cyber Security Measure and presents an overview of different perspectives.

Intelligent Malware Detection Using Deep Dilated Residual Networks for Cyber Security

2021 ◽  
pp. 1085-1099
Author(s):  
S. Abijah Roseline ◽  
S. Geetha
Keyword(s):  
Machine Learning ◽  
Cyber Security ◽  
Machine Learning Algorithms ◽  
Human Interaction ◽  
Machine Learning Techniques ◽  
Detection Methods ◽  
Security Threat ◽  
Signature Detection ◽  
Learning Techniques ◽  
Feature Based

Malware is the most serious security threat, which possibly targets billions of devices like personal computers, smartphones, etc. across the world. Malware classification and detection is a challenging task due to the targeted, zero-day, and stealthy nature of advanced and new malwares. The traditional signature detection methods like antivirus software were effective for detecting known malwares. At present, there are various solutions for detection of such unknown malwares employing feature-based machine learning algorithms. Machine learning techniques detect known malwares effectively but are not optimal and show a low accuracy rate for unknown malwares. This chapter explores a novel deep learning model called deep dilated residual network model for malware image classification. The proposed model showed a higher accuracy of 98.50% and 99.14% on Kaggle Malimg and BIG 2015 datasets, respectively. The new malwares can be handled in real-time with minimal human interaction using the proposed deep residual model.

A Key Management Scheme for Secure Communications Based on Smart Grid Requirements (KMS-CL-SG)

2016 ◽  
pp. 242-265
Author(s):  
Bashar Alohali ◽  
Kashif Kifayat ◽  
Qi Shi ◽  
William Hurst
Keyword(s):  
Smart Grid ◽  
Cyber Security ◽  
Key Management ◽  
Monitoring And Control ◽  
Security Threat ◽  
Real Time Control ◽  
Time Control ◽  
Management Scheme ◽  
Communication Layer ◽  
Key Management Scheme

Over the last decade, Internet of Things (IoTs) have brought radical changes to the means and forms of communication for monitoring and control of a large number of applications including Smart Grid (SG). Traditional energy networks have been modernized to SGs to boost the energy industry in the context of efficient and effective power management, performance, real-time control and information flow using two-way communication between utility provides and end-users. However, integrating two-way communication in SG comes at the cost of cyber security vulnerabilities and challenges. In the context of SG, node compromise is a severe security threat due to the fact that a compromised node can significantly impact the operations and security of the SG network. Therefore, in this chapter, Key Management Scheme for Communication Layer in the Smart Grid (KMS-CL-SG) has proposed. In order to achieve a secure end-to-end communication we assign a unique key to each node in the group.

A Key Management Scheme for Secure Communications Based on Smart Grid Requirements (KMS-CL-SG)

2020 ◽  
pp. 319-343
Author(s):  
Bashar Alohali ◽  
Kashif Kifayat ◽  
Qi Shi ◽  
William Hurst
Keyword(s):  
Smart Grid ◽  
Cyber Security ◽  
Key Management ◽  
Monitoring And Control ◽  
Security Threat ◽  
Real Time Control ◽  
Time Control ◽  
Management Scheme ◽  
Communication Layer ◽  
Key Management Scheme

Over the last decade, Internet of Things (IoTs) have brought radical changes to the means and forms of communication for monitoring and control of a large number of applications including Smart Grid (SG). Traditional energy networks have been modernized to SGs to boost the energy industry in the context of efficient and effective power management, performance, real-time control and information flow using two-way communication between utility provides and end-users. However, integrating two-way communication in SG comes at the cost of cyber security vulnerabilities and challenges. In the context of SG, node compromise is a severe security threat due to the fact that a compromised node can significantly impact the operations and security of the SG network. Therefore, in this chapter, Key Management Scheme for Communication Layer in the Smart Grid (KMS-CL-SG) has proposed. In order to achieve a secure end-to-end communication we assign a unique key to each node in the group.

scholarly journals Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems

Energies ◽  
2015 ◽  
Vol 8 (6) ◽  
pp. 5266-5286 ◽  
Author(s):  
Xiaming Ye ◽  
Junhua Zhao ◽  
Yan Zhang ◽  
Fushuan Wen
Keyword(s):  
Vulnerability Assessment ◽  
Cyber Security ◽  
Distribution Automation ◽  
Automation Systems

Securitization and Lithuania’s National Security Change

2017 ◽  
Vol 36 (1) ◽  
pp. 9-33
Author(s):  
Ieva Karpavičiūtė
Keyword(s):  
National Security ◽  
Cyber Security ◽  
Security Policy ◽  
International Terrorism ◽  
Threat Perception ◽  
Security Threats ◽  
Security Threat ◽  
Recent Developments ◽  
Securitization Theory ◽  
The Military

Abstract The paper addresses the security threat perception and securitization of existential threats in Lithuania. It focuses upon the securitization theory and its ability to explain the change of national security agendas as affected by the changes in national identity and existential security threats. It takes into account the internal and external factors that are shaping the objective and subjective national threat perception. The paper applies O. Waever’s securitization theory with an aim to explain how the national security threats are being addressed and perceived in Lithuania. Moreover, the paper is developed against the backdrop of the most recent developments in securitization theory and evolution of its theoretical perceptions of identity, existential threats, and legitimacy. It also discusses the possibility of inclusion of hybrid security threats into an analysis of securitization. The empirical part of the article assesses the most recent security challenges, provides evaluation of changes in national security perception, and portrays the dynamics of national security threats as defined in the National Security Strategies and the Military Doctrine. The paper focuses upon the most recent dynamics in security policy of Lithuania. It also takes into account the hybrid nature of security threats and the reaction to hybrid security elements such as: cyber security, information security, and international terrorism.

Data Flow Based Cyber Security Defense-in-Depth Model of I&C System for Nuclear Power Plants

2017 ◽  
Author(s):  
Bing Hu ◽  
Longqiang Zhang ◽  
Zhiwu Guo ◽  
Youran Li ◽  
Wei Sun ◽  
...  
Keyword(s):  
Cyber Security ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Data Flow ◽  
Security Threat ◽  
Technical Requirements ◽  
Digital Instrumentation ◽  
Defense In Depth ◽  
Security Standards

With the introduction of digital instrumentation system, the cyber security threat to nuclear power plants is becoming more and more serious. The existing cyber security standards of nuclear power plants still need to be improved, and the technology practice of defensive strategies is lacking all over the world. In this paper, based on the comparison of domestic and foreign regulations and standards, combined with the technical practice of I&C system overall plan, a defense-in-depth model based on data flow is proposed. The overall technical requirements, hierarchy, network model, cyber security basic requirements, cyber security interface and protection of digital assets are introduced, the application of the model and the direction of research on cyber security of nuclear power plant are prospected.

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