The objective of any anomaly detection system is to efficiently detect several types of
malicious traffic patterns that cannot be detected by conventional firewall systems …

The fundamental objective behind any network intrusion detection system is to automate the
detection process whenever intrusions occur in the network. The problem of the network …

The problem of anomaly and attack detection in IoT environment is one of the prime
challenges in the domain of internet of things that requires an immediate concern. For …

Plant diseases have become a major threat in farming and provision of food. Various plant
diseases have affected the natural growth of the plants and the infected plants are the …

Distributed Denial of Service (DDoS) attacks in the cloud environment are not as simple as
the same attacks which occur in the traditional physical network environment. Not only one …

Mining association patterns from a time-stamped temporal database is implicitly associated
with task of scanning input database. Finding supports of itemsets requires scanning the …

Medical record instances can have missing values which makes them unsuitable for
learning process. Data Imputation is normally done to fill one or more missing data attribute …

Discovery of temporal association patterns from temporal databases is extensively studied
by academic research community and applied in various industrial applications. Temporal …

Finding temporal association patterns from temporal dataset is addressed in a wider
perspective in the existing literature. Discovering time profiled temporal patterns is …

Detecting Intrusions and anomalies is becoming much more challenging with new attacks
popping out over a period of time. Achieving better accuracies by applying benchmark …