34.3113, Calls: First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
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LINGUIST List: Vol-34-3113. Thu Oct 19 2023. ISSN: 1069 - 4875.
Subject: 34.3113, Calls: First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
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Date: 19-Oct-2023
From: Amal Haddad Haddad [amalhaddad at ugr.es]
Subject: First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
Full Title: First International Conference on Natural Language
Processing and Artificial Intelligence for Cyber Security
Short Title: (NLPAICS’2024)
Date: 29-Jul-2024 - 30-Jul-2024
Location: Lancaster, United Kingdom
Contact Person: Amal Haddad Haddad
Meeting Email: amalhaddad at ugr.es
Linguistic Field(s): Applied Linguistics; Computational Linguistics
Meeting Description:
First International Conference on Natural Language Processing
and Artificial Intelligence for Cyber Security
(NLPAICS’2024)
Lancaster University, Lancaster
29-30 July 2024
First announcement
Recent advances in Natural Language Processing (NLP), Deep Learning
and Large Language Models have resulted in improved performance of
applications benefiting from these techniques. In particular, in
there has been a growing interest of employing AI methods in different
Cyber Security applications.
In today's digital world Cyber Security has emerged and its importance
has magnified, becoming a priority for both individual users and
organisations. With the exponential growth of the volume of
information online, traditional security approaches often fall short
in identifying and preventing evolving security threats. The
inadequacy of conventional security frameworks highlights the need for
innovative solutions that can effectively navigate the complex digital
landscape for ensuring robust security. NLP and AI in Cyber Security
have vast potential to significantly enhance threat detection and
mitigation by fostering the development of advanced security systems
for autonomous identification, assessment, and response to security
threats in real-time. Recognising this challenge and the capabilities
of NLP and AI approaches to fortify cyber security systems, the First
International Conference on Natural Language Processing (NLP) and
Artificial Intelligence (AI) for Cyber Security (NLPAICS’2024) offers
to act as a meeting point for researchers working on NLP and AI
methods for Cyber Security and welcomes contributions reporting latest
solutions based on NLP and AI to mitigate the risks when processing
digital information.
Submissions and Publication
The first call for papers (to be distributed in November 2023) will
provide details on the types of submissions and the submission
procedure. The first call will also provide information on the
conference schedule, including submission and notification deadlines.
Each submission will be reviewed by three members of the Programme
Committee.
All accepted papers will be included in the conference e-proceedings
which will be available at the conference. The NLPAICS’2024 organisers
will work with ACL to secure their inclusion in the ACL Anthology.
Organisation
The First International Conference on Natural Language Processing and
Artificial Intelligence for Cyber Security (NLPAICS’2024) is organised
by the Lancaster University UCREL NLP research group.
Further information and contact details
This is a first announcement only. The first Call for Papers is
expected in November 2023 and registration will be open as from March
2024. The follow-up calls will list keynote speakers, conference
chairs and members of the programme committee once confirmed.
The conference website and the conference email address will be
available soon. For any initial queries, please feel free to contact
Prof Ruslan Mitkov on r.mitkov at lancaster.ac.uk.
Call for Papers:
Conference topics
The conference invites submissions on a broad range of topics related
to the employment of NLP and AI (and in general, language studies and
models) for Cyber Security including but not limited to:
Societal and Human Security and Safety
• Content Legitimacy and Quality
o Detection and mitigation of hate speech and offensive language
o Fake news, deepfakes, misinformation and disinformation
o Detection of machine generated language in multimodal context
(text, speech
and gesture)
• User Security and Safety
o Cyberbullying and identification of internet offenders
o Monitoring extremist fora
o Suicide prevention
• Technical Measures and Solutions
o Social engineering identification, phishing detection
o NLP for risk assessment
o Controlled languages for safe messages
o Prevention of malicious use of ai models
o Forensic linguistics
• Human Factors in Cyber Security
Speech Technology and Multimodal Investigations for Cyber Security
• Voice-based security: Analysis of voice recordings or
transcripts for security threats
• Detection of machine generated language in multimodal context
(text, speech and gesture)
• NLP and biometrics in multimodal context
Data and Software Security
• Cryptography
• Digital forensics
• Malware detection, obfuscation
• Models for documentation
• NLP for data privacy and leakage prevention (DLP)
• Addressing dataset “poisoning” attacks
Human-Centric Security and Support
• Natural language understanding for chatbots: NLP-powered
chatbots for user support and security incident reporting
• User behaviour analysis: Analysing user-generated text data
(e.g., chat logs and emails) to detect insider threats or unusual
behaviour
• Human supervision of technology for Cyber Security
Anomaly Detection and Threat Intelligence
• Text-Based Anomaly Detection
o Identification of unusual or suspicious patterns in logs,
incident reports or other textual data
o Detecting deviations from normal behaviour in system logs or
network traffic
• Threat Intelligence Analysis
o Processing and analysing threat intelligence reports, news,
articles and blogs on latest Cyber Security threats
o Extracting key information and indicators of compromise (IoCs)
from unstructured text
Systems and Infrastructure Security
• Systems Security
o Anti-reverse engineering for protecting privacy and anonymity
o Identification and mitigation of side-channel attacks
o Authentication and access control
o Enterprise-level mitigation
o NLP for software vulnerability detection
• Malware Detection through Code Analysis
o Analysing code and scripts for malware
o Detection using NLP to identify patterns indicative of
malicious code
Financial Cyber Security
• Financial Fraud Detection
• Algorithmic Trading Security
• Secure Online Banking
• Risk Management in Finance
• Financial Text Analytics
Ethics, Bias, and Legislation in Cyber Security
• Ethical and Legal Issues
o Digital privacy and identity management
o The ethics of NLP and speech technology
o Explainability of NLP and speech technology tools
o Legislation against malicious use of AI
o Regulatory issues
• Bias and Security
o Bias in Large Language Models (LLMs)
o Bias in security related datasets and annotations
Datasets and resources for Cyber Security Applications
Specialised Security Applications and Open Topics
• Intelligence applications
• Emerging and innovative applications in Cyber Security
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