Abstract: A mobile device having a processor, a memory and a wireless network interface, the processor executing an operating system including a network communication library for providing networking services via the wireless network interface and being further arranged to: receive capability information associated with each of plurality of wireless network access points accessible to the mobile device; identify, for a set of networked applications in execution on the mobile device, one or more applications having associated a wireless network capability requirement; and select an access point from the plurality of access points to provide network communication for the mobile device, the access point being selected based on the identified one or more applications and the received capability information, wherein network communication for applications executed by the mobile device having associated a wireless network capability requirement that is incompatible with a network capability of the selected access point are pr

Abstract: A computer implemented method of providing whole disk encryption for a virtualized computer system including providing a software component executing in a first virtual machine for instantiation in a first hypervisor, the software component invoking a second hypervisor within the first virtual machine for instantiating a disk image of the virtualized computer system as a second virtual machine, and the software component being configured to install a software agent in the second virtual machine, the software agent being adapted to: a) encrypt the instantiated disk image; b) encrypt data written, by the second virtual machine, to the instantiated disk image at a runtime of the second virtual machine; and c) decrypt data read, by the second virtual machine, from the instantiated disk image at a runtime of the second virtual machine, wherein the software component is configured to migrate the second virtual machine at a runtime of the second virtual machine to the first hypervisor so as to provide a wholly encry

Abstract: A computer implemented method to detect an anomalous change to a web application, the web application executing with a web server, the method including receiving a first set of records for the web application operating in a training mode of operation, each record including characteristics of a content of a web page for the web application; generating a sparse distributed representation of the set of records to form a training set for a hierarchical temporal memory (HTM); training the HTM based on the training set in order that the trained HTM provides a model of the operation of the web application in the training mode of operation; receiving a second set of records for the web application, each record including characteristics of content of the web page; generating a sparse distributed representation of the second set of records to form an input set for the trained HTM; executing the trained HTM based on the input set to determine a degree of recognition of the records of the input set; and responsive to a d

Abstract: A method for detecting malware software in a computer system includes accessing a plurality of hostnames for a malware server from a computer system infected with malware and attempting to communicate with the malware server, each hostname including a plurality of symbols in each of a plurality of symbol positions; training an autoencoder based on each of the plurality of hostnames, wherein the autoencoder includes: a set of input units for each possible symbol and symbol position in a hostname; output units each for storing an output of the autoencoder; and a set of hidden units smaller in number than the set of input units and each interconnecting all input and all output units with weighted interconnections, such that the autoencoder is trainable to provide an approximated reconstruction of values of the input units at the output units; selecting a set of one or more symbol and symbol position tuples based on weights of interconnections in the trained autoencoder; and identifying infected computer systems

Abstract: A computer implemented method of protecting data in a message for communication from a sender to a receiver, the sender and receiver sharing a secret, the method including splitting the message into a plurality of ordered message blocks, the order being a proper order such that an aggregation of the blocks in the proper order constitutes the message; generating a hash value for each message block, each hash value being generated on the basis of at least a content of the block and the secret; generating, for each block, an encoded indication of a position of the block in the proper order of blocks, the encoding being reversible and based on at least the hash value for the block and a position of the block in the proper order; communicating the blocks to the receiver in an order different to the proper order so as to obfuscate the message; and communicating the encoded indications to the receiver such that the blocks can be reassembled by the receiver in the proper order on the basis of the shared secret.

Abstract: A web server operating in a container has resource and network limits applied to add an extra layer of security to the web server. If a monitor detects that the container's resource usage is approaching one or more of these limits, which may be indicative of a DDoS attack, (step 210) or identifies traffic sources exhibiting suspicious behaviour, such as frequently repeated requests from the same address, or from a related set of addresses, a restrictor function caps the resources allowed by the original Webserver container to allow it to recover from buffer overflow and protect servers running in other containers from overwhelming any shared resources. A duplicator function starts up replica containers with the same resource limits to take overflow traffic, and a load balancing function then directs incoming traffic to these overflow containers etc.

Abstract: Containerised computing processes are generated by an orchestration processor interpreting user commands and user profile data to build a deployment specification specifying functions to be run by a containerised process, using a shell script run on a host virtualisation container. External events such as security threats and computing resource overloads can be used to generate the virtualised process, allowing vulnerability detection, and apply countermeasures such as deployment or migration of containers during attacks to lesser prone infrastructure, and allows the orchestration of non-container tools to provide security and resilience.

Abstract: A method for identifying malicious encrypted network traffic communicated via a computer network is disclosed. A malicious encrypted traffic detector is also disclosed.

Abstract: A computer implemented method to detect a data breach in a network-connected computing system including generating, at a trusted secure computing device, a copy of data distributed across a network; the computing device accessing sensitive information for the network-connected computer system and searching for at least part of the sensitive information in the copy of the data; in response to an identification of sensitive information in the copy of the data identifying the sensitive information as compromised sensitive information.

Abstract: A computer implemented method to generate a classification scheme for configuration parameters of virtual machines (VMs) in a virtualized computing environment including: training a machine learning algorithm as a classifier based on a plurality of training data items, each training data item corresponding to a training VM and including a representation of parameters for a configuration of the training VM and a representation of characteristics of security attacks for the training VM; and generating a data structure for storing one or more relationships between VM configuration parameters and attack characteristics, wherein the data structure is generated by sampling the trained machine learning algorithm to identify the relationships.

Abstract: The disclosure relates to detection of malicious network communications. In one embodiment, a method for identifying malicious encrypted network traffic associated with a malware software component communicating via a network is disclosed. The method includes training a neural network based on images for extracted portions of network traffic such that subsequent network traffic can be classified by the neural network to identify malicious network traffic associated with malware based on an image generated to represent a defined portion of the subsequent network traffic.

Abstract: A computer implemented method of secure communication between a virtual machine in a set of virtual machines in a virtualized computing environment and a shared software service over a network, the method comprising: establishing a network connection between the virtual machine and the software service; communicating data between the virtual machine and the software service; and establishing a tunneling virtual private network (VPN) connection for communication of encrypted network traffic between the virtual machine and the software service, access to the VPN connection being restricted so as to securely separate communication between the virtual machine and the software service from communication occurring with other virtual machines in the set, and wherein data is communicated between the virtual machine and the software service via the VPN connection.

Abstract: A method for identifying malicious encrypted network traffic associated with a malware software component communicating via a network, the method including, for the malware, a portion of network traffic including a plurality of contiguous bytes occurring at a predefined offset in a network communication of the malware; extracting the defined portion of network traffic for each of a plurality of disparate encrypted network connections for the malware; training an autoencoder based on each extracted portion of network traffic, wherein the autoencoder includes: a set of input units each for representing information from a byte of an extracted portion; output units each for storing an output of the autoencoder; and a set of hidden units smaller in number than the set of input units and each interconnecting all input and all output units with weighted interconnections, such that the autoencoder is trainable to provide an approximated reconstruction of values of the input units at the output units; selecting a set

Abstract: A method for detecting a malware file in encrypted form including receiving multiple versions of the malware file, each version encrypted using a different initialization vector; training an autoencoder based on each version of the malware file, wherein the autoencoder includes: a set of input units each for representing information from a byte of malware file; output units each for storing an output of the autoencoder; and a set of hidden units smaller in number than the set of input units and each interconnecting all input and all output units with weighted interconnections, such that the autoencoder is trainable to provide an approximated reconstruction of values of the input units at the output units; selecting a set of one or more offsets in the malware file in encrypted form as candidate locations for storage of an initialization vector for encryption of the malware file, the selection being based on weights of interconnections in the autoencoder; and identifying the malware file based on an identificat

Abstract: A computer implemented method to detect a data breach in a network-connected computing system, the method including storing, at a trusted secure computing device, at least a portion of network traffic communicated with the computer system; the computing device generating a copy of data distributed across a network; the computing device identifying information about the network attack stored in the copy of the data; the computing device generating a signature for the network attack based on the information about the network attack, the signature including rules for identifying the network attack in network traffic; and identifying an occurrence of the network attack in the stored network traffic based on the signature.

Abstract: A computer implemented method to identify one or more parameters of a configuration of a target virtual machine (VM) in a virtualized computing environment used in a security attack against the target VM, the security attack exhibiting a particular attack characteristic, is disclosed.

Abstract: A computer implemented method to determine a configuration of a target virtual machine (VM) in a virtualized computing environment to protect against a security attack exhibiting a particular attack characteristic.

Abstract: A computer implemented method of detecting malicious code in a software application executing with a runtime environment in a computer system, the method including: parsing software code corresponding to at least a subset of the runtime environment to identify one or more occurrences of a programmatic dispatch of a software exception; recording, for each identified occurrence, execution state information leading to the exception as a runtime exception trigger condition for the exception; and defining, for each identified occurrence, a resulting state based on the software code for recording in association with the execution state information, wherein the execution state information and associated resulting state definition permit the detection of anomalies in the execution of the runtime environment to detect malicious applications executing with the runtime environment.

Abstract: A malicious encrypted traffic detector connected to a computer network, the detector comprising: a Shannon entropy estimator; an entropy comparator; a store storing a reference measure of Shannon entropy of a portion of network traffic of a malicious encrypted network connection, wherein the estimator is adapted to estimate a measure of entropy for a corresponding portion of network traffic communicated over the computer network, and the entropy comparator is adapted to compare the estimated measure of entropy with the reference measure so as to determine if malicious encrypted network traffic is communicated over the network connection.

Abstract: A malicious encrypted traffic inhibitor connected to a computer network is disclosed. A method for inhibiting malicious encrypted network traffic communicated via a computer network also is disclosed. The malicious encrypted traffic inhibitor and method utilize an estimated measure of entropy for a portion of network traffic communicated over a network connection via the computer network. The estimated measure of entropy is calculated as a measure of a degree of indeterminacy of information communicated via the network connection, such as an estimated measure of Shannon entropy, and then compared with a reference measure of entropy for malicious encrypted network traffic. If the estimated measure of entropy for traffic communicated via the computer network is sufficiently similar to the reference measure of entropy, a positive identification of malicious traffic on the computer network can be output.