A Markov Multi-Phase Transferable Belief Model for Cyber Situational Awareness

Ioannou, Georgios; Louvieris, Panos; Clewley, Natalie

doi:10.1109/access.2019.2897923

Cited by 17 publications

(22 citation statements)

References 54 publications

(64 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pilot lost situational awareness and was not aware of everything going on around him. Other domains use maintaining situation awareness as an approach to reducing human errors, for example; autonomous driving [47], medicine [48], transportation [49] and cyber security [50].…”

Section: Improving Situation Awarenessmentioning

confidence: 99%

How Software Developers Mitigate Their Errors When Developing Code

Nagaria

Hall

2022

IIEEE Trans. Software Eng.

View full text Add to dashboard Cite

Code remains largely handmade by humans and, as such, writing code is prone to error. Many previous studies have focused on the technical reasons for these errors and provided developers with increasingly sophisticated tools. Few studies have looked in detail at why code errors have been made from a human perspective. We use Human Error Theory to frame our exploratory study and use semi-structured interviews to uncover a preliminary understanding of the errors developers make while coding. We look particularly at the Skill-based (SB) errors reported by 27 professional software developers. We found that the complexity of the development environment is one of the most frequently reported reasons for errors. Maintaining concentration and focus on a particular task also underpins many developer errors. We found that developers struggle with effective mitigation strategies for their errors, reporting strategies largely based on improving their own willpower to concentrate better on coding tasks. We discuss how using Reason's Swiss Cheese model may help reduce errors during software development. This model ensures that layers of tool, process and management mitigation are in place to prevent developer errors from causing system failures.

show abstract

Section: Improving Situation Awarenessmentioning

confidence: 99%

How Software Developers Mitigate Their Errors When Developing Code

Nagaria

Hall

2022

IIEEE Trans. Software Eng.

View full text Add to dashboard Cite

show abstract

“…Recent data breach reports and incidence have heightened the need for addressing communication problems concerning security and privacy [1]- [3], [19]- [24], [68]. In this paper, a deception model is presented to reinforce the conventional encryption scheme for secure communication of online social networks.…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, information and communication security has evolved into a red-hot issue with notable data breach encompassing giant establishments, such as Facebook, Yahoo, Equifax and others, resulting in greater privacy awareness amongst both consumers and organizations [1]- [3]. The espousal of the internet has impacted every sphere of human lives particularly in the area of communication [4], [5].…”

Section: Introductionmentioning

confidence: 99%

A Deception Model Robust to Eavesdropping Over Communication for Social Network Systems

et al. 2019

View full text Add to dashboard Cite

Communication security deals with attributes such as confidentiality, integrity, and availability. The current strategies used to achieve covertness of communication employs encryption. Encryption techniques minimize eavesdropping on the conversation between the conversing parties by transforming the message into an unreadable form. However, it does not prevent or discourage eavesdroppers from stealing and attempting to decrypt the encrypted messages using a brute-force attack or by randomly guessing the key. The probability of the eavesdropper acquiring the key and recovering the message is high as he/she can distinguish a correct key from incorrect keys based on the output of the decryption. This is because a message has some structure-texts, pictures, and videos. Thus, an attempt at decrypting with a wrong key yields random gibberish that does not comply with the expected structure. Furthermore, the consistent increase in computational power implies that stolen encrypted data may gradually debilitate to a brute-force attack. Thus, causing the eavesdropper to learn the content of the message. To this end, the objective of this research is to reinforce the current encryption measures with a decoy-based deception model where the eavesdropper is discouraged from stealing encrypted message by confounding his resources and time. Our proposed model leverages its foundation from decoys, deception, and artificial intelligence. An instant messaging application was developed and integrated with the proposed model as a proof of concept. Further details regarding the design, analysis, and implementation of the proposed model are substantiated. The result shows that the proposed model reinforces state-of-the-art encryption schemes and will serve as an effective component for discouraging eavesdropping and curtailing brute-force attack on encrypted messages.

show abstract

“…Multiple practical systems, such as solar boiler stations, economics, dc motor units, RLC circuits, can be modeled as Markov jump system [34]. Also, it is composed of several interacting operating modes and a dynamic mechanism involving stochastic hopping, which is ultimately controlled by a Markov chain [35]. Hence, taking the uncertain model parameters and external disturbances caused by the complexity of the power system model and various environments, the Markov model is applied in this paper.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Event-Triggered Load Frequency Control of Multi-Area Power Systems Under Networked Environment via Sliding Mode Control

Sun

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

The robust stability and stabilization of adaptive event-triggered load frequency control (LFC) with sliding mode control (SMC) for multi-area power systems under a networked environment are investigated in this paper. The adaptive event-triggered scheme is proposed to maximize network bandwidth utilization, and it can be adaptively modified according to circumstances. Furthermore, to provide stronger robustness performance which is against the frequency deviation induced by power unbalance or transmission time delays, the SMC is developed. Then, the LFC scheme for multi-area power systems under the networked environment is modeled as a Markov jump linear system model, to describe the uncertainty parameters and external disturbances better in this system. Additionally, by employing Wirtinger-based inequality and Lyapunov theory, the robust stability and stabilization criteria with less conservatism are derived. Finally, simulations are performed to demonstrate the efficacy and superiority of the developed approach. INDEX TERMS Adaptive event-triggered scheme, load frequency control, networked communication, sliding mode control, Wirtinger-based inequality.

show abstract

A Markov Multi-Phase Transferable Belief Model for Cyber Situational Awareness

Cited by 17 publications

References 54 publications

How Software Developers Mitigate Their Errors When Developing Code

How Software Developers Mitigate Their Errors When Developing Code

A Deception Model Robust to Eavesdropping Over Communication for Social Network Systems

Adaptive Event-Triggered Load Frequency Control of Multi-Area Power Systems Under Networked Environment via Sliding Mode Control

Contact Info

Product

Resources

About