Abstract: Methods, systems, and devices are described for using low energy (LE) signaling to indicate to a wireless station (STA), prior to transmission of a beacon, whether the beacon will further indicate that an access point (AP) has data to transmit to the STA. In one aspect, a method may include receiving, using a first radio of a wireless STA using a LE communication protocol, a first signal comprising an indication of a traffic indication map (TIM) of a wireless local area network (WLAN) beacon, and selectively powering up a second radio of the wireless STA to receive the WLAN beacon in response to the indication. In one aspect, the wireless STA may power up the first radio at a predetermined interval prior to a target beacon transmission time (TBTT) of the WLAN beacon.

Abstract: Systems and methods for software defined behavioral DDoS attack mitigation are provided. According to one embodiment, a method is provided for controlling multiple distributed denial of service (DDoS) mitigation appliances. A DDoS attack mitigation central controller configures attack mitigation policies for the DDoS attack mitigation appliances. The DDoS attack mitigation policies are sent to the DDoS attack mitigation appliances through a network connecting the DDoS attack mitigation central controller and the DDoS attack mitigation appliances.

Abstract: Methods and systems for an integrated solution to the rate based denial of service attacks targeting the Session Initiation Protocol are provided. According to one embodiment, header, state, rate and content anomalies are prevented and network policy enforcement is provided for session initiation protocol (SIP). A hardware-based apparatus helps identify SIP rate-thresholds through continuous and adaptive learning. The apparatus can determine SIP header and SIP state anomalies and drop packets containing those anomalies. SIP requests and responses are inspected for known malicious contents using a Content Inspection Engine. The apparatus integrates advantageous solutions to prevent anomalous packets and enables a policy based packet filter for SIP.

Abstract: A method and system is provided for distributed optimal caching for information centric networking. The system and method disclosed herein enables each router/node in the network to make an independent decision to solve the optimization problem based upon a cost feedback from its neighbors. Content is received by a first router which determines if it should store the content in its cache based on a Characterizing Metrics (CM) value or send it to a neighbor router j, where the neighbor router j is selected based on a transaction cost determination. The node j on receiving the content shared with itself again performs similar computation to determine if the content should be stored in its cache. The method is performed iteratively for optimal distributed caching.

Abstract: Methods and systems for a scalable solution to behavioral Distributed Denial of Service (DDoS) attacks targeting a network are provided. According to one embodiment, a method to determine the scaling treatment is provided for various granular layer parameters of the Open System Interconnection (OSI) model for communication systems. A hardware-based apparatus helps identify packet rates and determine packet rate thresholds through continuous and adaptive learning with multiple DDoS attack mitigation components. The system can be scaled up by stacking multiple DDoS attack mitigation components to provide protection against large scale DDoS attacks by distributing load across these stacked components.

Abstract: A system and a method, the method including receiving a set of documents, the set including at least one instance of an unstructured document; parsing the set of documents to obtain information regarding the set of documents; determining a map of a map for the set of documents based on the information obtained by the parsing; generating a hierarchical semantic representation of the set of documents based on the map of the map; and storing the hierarchical semantic representation of the set of documents.

Abstract: A platen apparatus for supporting a mold portion in an injection molding machine includes a platen body and a mold mounting face adjacent a front of the platen body for supporting a mold half. The mold mounting face includes a rotary central surface that is rotatable about an axis relative to the platen body and a fixed peripheral surface that is fixed relative to the platen body. The peripheral surface is disposed about a periphery of the central surface. The central surface and the peripheral surface are alignable in a common vertical plane.

Abstract: A treatment fluid containing bio-fibers composed of fibrous structural protein, such as keratin, which demonstrates the ability for proppant transport, resistance to degradation in the presence of many degradants, and selective degradation to other degradants. Methods of using the treatment fluid include introducing the treatment fluid in a well bore and selectively degrading one or more of the treatment fluid components.

Abstract: Methods and systems for a two-stage attribution of application layer DDoS attack are provided. In a first table just a hash index is maintained whereas the second stage table keeps the string parameter corresponding to the application layer attribute under attack. A linked list maintains a plurality of rows if there is hash collision in the first table. The second table is aged out and reported periodically with details of large strings.

Abstract: A degradable composite composition including polyglycolic acid and a boron-containing accelerator, and methods of using the same (for example, as a constituent of a treatment fluid of a subterranean formation) are described. The degradable composite composition may be a composition that degrades in environments typically encountered downhole, such as oilfield environments/conditions and/or fluids.

Abstract: Systems and methods for software defined behavioral DDoS attack mitigation are provided. According to one embodiment, a method is provided for mitigating DDoS attacks. A DDoS attack mitigation appliance of multiple mitigation appliances controlled by a DDoS attack mitigation central controller receives DDoS attack mitigation policies through a network connecting the controller and the mitigation appliance. A DDoS attack is mitigated by the mitigation appliance based on the received mitigation policies. The mitigation policies are generated by the controller based on granular behavioral packet rate thresholds estimated based on granular traffic rate information collected from one or more of the multiple mitigation appliances controlled by the controller.

Abstract: Systems and methods for software defined behavioral DDoS attack mitigation are provided. According to one embodiment, a method is provided for controlling multiple distributed denial of service (DDoS) mitigation appliances. A DDoS attack mitigation central controller configures attack mitigation policies for the DDoS attack mitigation appliances. The DDoS attack mitigation policies are sent to the DDoS attack mitigation appliances through a network connecting the DDoS attack mitigation central controller and the DDoS attack mitigation appliances.

Abstract: Systems and methods for software defined behavioral DDoS attack mitigation are provided. According to one embodiment, a method is provided for controlling multiple distributed denial of service (DDoS) mitigation appliances. A DDoS attack mitigation central controller configures attack mitigation policies for the DDoS attack mitigation appliances. The DDoS attack mitigation policies are sent to the DDoS attack mitigation appliances through a network connecting the DDoS attack mitigation central controller and the DDoS attack mitigation appliances.

Abstract: This disclosure relates generally to provisioning network services in a cloud computing environment, and more particularly to framework for provisioning network services in a heterogeneous cloud computing environment. In one embodiment, the disclosure includes a network as a service (NaaS) layer under a cloud provisioning platform. The NaaS layer can be interfaced with any cloud provisioning platform. The NaaS layer serves the networking needs of the heterogeneous cloud environment. It provides network services like monitoring, notifications, QoS policies, network topology and other services. For example, the cloud provisioning platform defines a virtual network and attaches a plurality of virtual machines to it. All the communications related to creation/deletion/update of virtual networks, virtual subnets, virtual ports, virtual router, virtual interfaces etc., are sent to the NaaS layer.

Abstract: This disclosure relates generally to systems and methods of operating systems and more particularly to systems and methods for a smart operating system for integrating dynamic case management into a process management platform. In one embodiment, a computer-implemented dynamic case management method includes creating a plurality of lightweight stateless computing processes; placing the processes in a WAIT state; receiving a request to initiate a process instance corresponding to a lightweight stateless process; placing at least one of the processes in an EXECUTING state; processing the process instance by the processes placed in the EXECUTING state; determining a next process for the process instance; and routing the process instance to the next process.

Abstract: The present disclosure relates to methods of systems for process modeling. Embodiments of the present disclosure may store a user interface framework in a memory allocated to a browser application in the computer. The user interface framework may provide a user interface to a user operating the computer to perform process modeling. Some embodiments may also render the user interface using a rendering engine associated with the browser application and capture one or more process modeling events received as input by the user. The one or more process modeling events may be associated with one or more process models. In addition, some embodiments may store the one or more process modeling events as model data in the memory allocated to the browser application and render the one or more process models on the user interface based on at least a subset of the model data.

Abstract: A method and system is provided for device-to-device (D2D) offloading in long term evolution (LTE) networks. The present application provides a method and system for device-to-device (D2D) offloading in long term evolution (LTE) networks, comprising processor implemented steps of selecting an offloader by a eNodeB (eNB) for a user device out of a plurality of user devices based on location of the user device and other closed proximity user devices, corresponding load and channel conditions upon receiving the offloading request from the user device; exchanging a control messages between the user device and the eNB; and between the eNB and the offloader; and scheduling of resource blocks (RBs) by the eNB for the user device and the offloader in D2D offloading.

Abstract: Optimization of control plane in a software defined network includes obtaining peer information of at least one neighbouring network controller by a network controller and determining a traffic profile variation. The method further includes computing of a self payoff value indicative of one of optimum utilization, underutilization and overutilization of the network controller. The method further includes initiating a non-zero sum game based network control plane optimization operation based on the self payoff value and the traffic profile of the neighbouring network controllers, and may include one of activating additional network controller(s), transferring control of one or more network devices managed by the network controller(s) to a neighbouring greedy network controller, deactivating the network controller, and transferring control of one or more additional network devices managed by the neighbouring network controller(s) to the greedy network controller.

Abstract: Methods and Systems for automatic information extraction by performing self-learning crawling and rule-based data mining is provided. The method determines existence of crawl policy within input information and performs at least one of front-end crawling, assisted crawling and recursive crawling. Downloaded data set is pre-processed to remove noisy data and subjected to classification rules and decision tree based data mining to extract meaningful information. Performing crawling techniques leads to smaller relevant datasets pertaining to a specific domain from multi-dimensional datasets available in online and offline sources.

Abstract: A technique for estimating cache size for cache routers in information centric networks (ICNs) is disclosed. In an example, an average rate of incoming requests and a probability of occurrence of each request at a cache router in a predefined time interval is determined. Further, a relation between cache hit and cache miss with and without replacement is derived based on the probability of occurrence of each request. Furthermore, an entropy of the requests is computed based on the probability of occurrence of each request. Moreover, a diversity index of the requests is calculated based on the entropy and the average rate of the requests. A cache size for the cache router is then estimated based on a user defined probability of cache hit, the average rate of the requests, the diversity index of the requests and the relation between the cache hit and cache miss with and without replacement.