INTELLIGENT TECHNIQUES FOR ANOMALY DETECTION IN NUCLEAR REACTORS

New techniques in nuclear medicine for tumor detection [Persian]

Widespread studies on tumor diagnosis has led to the development of techniques with greater sensitivity and improved specificity for detection of occult and small subclinical tumors. Tumor imaging by radiolabeling of tumor-specific antibodies (Immunoscintigraphy) or tissue specific biochemical agents (Receptor imaging) and especially physiologic imaging with positron emitters (PET), have ...

new techniques in nuclear medicine for tumor detection [persian]

widespread studies on tumor diagnosis has led to the development of techniques with greater sensitivity and improved specificity for detection of occult and small subclinical tumors. tumor imaging by radiolabeling of tumor-specific antibodies (immunoscintigraphy) or tissue specific biochemical agents (receptor imaging) and especially physiologic imaging with positron emitters (pet), have opened...

Understanding Anomaly Detection Techniques for Symbolic Sequences

Comparing Anomaly Detection Techniques for HTTP

Much data access occurs via HTTP, which is becoming a universal transport protocol. Because of this, it has become a common exploit target and several HTTP specific IDSs have been proposed as a response. However, each IDS is developed and tested independently, and direct comparisons are difficult. We describe a framework for testing IDS algorithms, and apply it to several proposed anomaly detec...

Assessment Methodology for Anomaly-Based Intrusion Detection in Cloud Computing

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...