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Research on artificial intelligence enhancing internet of things security: A survey
H Wu, H Han, X Wang, S Sun - Ieee Access, 2020 - ieeexplore.ieee.org
Through three development routes of authentication, communication, and computing, the
Internet of Things (IoT) has become a variety of innovative integrated solutions for specific …
Internet of Things (IoT) has become a variety of innovative integrated solutions for specific …
A detailed survey of denial of service for IoT and multimedia systems: Past, present and futuristic development
The rise in frequency and volume of Distributed Denial of Service (DDoS) attacks has made
it a destructive weapon of attackers which can disrupt the services of any network including …
it a destructive weapon of attackers which can disrupt the services of any network including …
[BUKU][B] Data leakage detection/prevention solutions
Abstract According to the Forrester Wave report [Raschke, 2008], most early DLP solutions
focused on finding sensitive data as they left the organizational network by monitoring data …
focused on finding sensitive data as they left the organizational network by monitoring data …
Automatic training of a database intrusion detection system
A Bromwich - US Patent 8,046,374, 2011 - Google Patents
(57) ABSTRACT A database intrusion detection system (DIDS) automatically trains itself to
account for changes to the database. The DIDS monitors upstream queries sent to the …
account for changes to the database. The DIDS monitors upstream queries sent to the …
Detecting anomalous access patterns in relational databases
A considerable effort has been recently devoted to the development of Database
Management Systems (DBMS) which guarantee high assurance and security. An important …
Management Systems (DBMS) which guarantee high assurance and security. An important …
A data-centric approach to insider attack detection in database systems
The insider threat against database management systems is a dangerous security problem.
Authorized users may abuse legitimate privileges to masquerade as other users or to …
Authorized users may abuse legitimate privileges to masquerade as other users or to …
A data mining approach for database intrusion detection
In this paper we proposed a data mining approach for detecting malicious transactions in a
Database System. Our approach concentrates on mining data dependencies among data …
Database System. Our approach concentrates on mining data dependencies among data …
Intrusion detection in RBAC-administered databases
A considerable effort has been recently devoted to the development of database
management systems (DBMS) which guarantee high assurance security and privacy. An …
management systems (DBMS) which guarantee high assurance security and privacy. An …
An adaptive risk management and access control framework to mitigate insider threats
Insider Attacks are one of the most dangerous threats organizations face today. An insider
attack occurs when a person authorized to perform certain actions in an organization …
attack occurs when a person authorized to perform certain actions in an organization …
A hybrid framework for data loss prevention and detection
Data loss, ie the unauthorized/unwanted disclosure of data, is a major threat for modern
organizations. Data Loss Protection (DLP) solutions in use nowadays, either employ …
organizations. Data Loss Protection (DLP) solutions in use nowadays, either employ …