Artificial Intelligence Based Model for Incident Response

Hasan, Raza; Raghav, Akshyadeep; Mahmood, Salman; Hasan, Muhamad

doi:10.1109/iciii.2011.307

Cited by 6 publications

(14 citation statements)

References 5 publications

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“…The study primarily reviews the implementation of AI in defending against cybercrimes (Dilek et al, 2015). Hasan, Raghav, Mahmood, and Hasan (2011) have presented a rigorous AI-based model for an incident response that can be effectively replicated in digital forensics. However, it is appropriate to offer contextual information on artificial intelligence and automation before answering the research question.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of automation and artificial intelligence on digital forensics

Jarrett

Choo

2021

WIREs Forensic Science

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Artificial intelligence (AI; broadly defined to include Machine Learning and Deep Learning) and automation are two current and reciprocal computing disciplines. As such, AI‐powered software, programs, operating systems, and devices are developed on a massive scale to automate a wide variety of processes and operations. The principal aims of integrating AI and automation include efficiency, accuracy, and cost‐reduction. While there is still an on‐going cost associated with automation, the cost is typically many magnitudes smaller than the on‐going costs incurred to get the job done manually, which increases the likelihood of generating a high return on investment. One emerging application of AI and automation is digital forensics. For example, US Federal and State Law Enforcement Agencies have started exploring the utility of AI‐powered technology to make the job of digital forensics more impactful. This trend can maximize the accuracy of digital forensic investigations, enabling the resolution of more digital investigations. This article is categorized under: Digital and Multimedia Science > Cyber Threat Intelligence Digital and Multimedia Science > Artificial Intelligence Digital and Multimedia Science > Cybercrime Investigation

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Section: Literature Reviewmentioning

confidence: 99%

The impact of automation and artificial intelligence on digital forensics

Jarrett

Choo

2021

WIREs Forensic Science

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“…artificial intelligence, seems a promising approach for an automated incident response management. The work in [7] presents a system based on the usage of artificial intelligence in forensics, which collects and stores the data from a crime scene, and examines any correlation with previously solved crimes. The approach is directed to the forensic use case.…”

Section: Incident Handlingmentioning

confidence: 99%

“…For example, a combination of the three presented concepts would provide a strong improvement in attack detection. [7] could generate a correlation model for [8] which is able to perform reactions in realtime. A SOC could be used to bring detected incidents in a human readable form and expert knowledge can then bring updates into the correlation model.…”

Section: Incident Handlingmentioning

confidence: 99%

Incident Reaction Based on Intrusion Detections’ Alert Analysis

Heigl

Doerr

Almaini

et al. 2018

2018 International Conference on Applied Electronics (AE)

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The protection of internetworked systems by cryptographic techniques have crystallized as a fundamental aspect in establishing secure systems. Complementary, detection mechanisms for instance based on Intrusion Detection Systems has established itself as a fundamental part in holistic security ecosystems in the previous years. However, the interpretation of and reaction on detected incidents is still a challenging task. In this paper an incident handling environment with relevant components and exemplary functionality is proposed that involves the processes from the detection of incidents over their analysis to the execution of appropriate reactions. An evaluation of a selection of implemented interacting components using technology such as OpenFlow or Snort generally proofs the concept.

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“…• Computers and internet continue to spread and occupy our lives by increasing the potential of harm caused by it through increased number of computer crimes. To deal with this rise, new and advance methods of investigations are required [11].…”

Section: Recommendationsmentioning

confidence: 99%

Consumption of E-banking services by consumers in Pakistan

Hasan

Mahmood

Hayat

et al. 2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

Self Cite

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The aim of this research is to understand and explain the consumption of e-banking services by consumers in Pakistan and customer's perception towards the potential benefits and risks associated with electronic banking in Pakistan. It is constraint toKarachi only. Quantitative methods were used as a research methods and hypothesis testing. Finally, a suitable conclusion and recommendations has been given.

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Artificial Intelligence Based Model for Incident Response

Cited by 6 publications

References 5 publications

The impact of automation and artificial intelligence on digital forensics

The impact of automation and artificial intelligence on digital forensics

Incident Reaction Based on Intrusion Detections’ Alert Analysis

Consumption of E-banking services by consumers in Pakistan

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