In todays landscape of increasing electronic crime, network forensics plays a pivotal role in digital investigations. It aids in understanding which systems to analyse and as a supplement to support evidence found through more traditional computer based investigations. However, the nature and functionality of the existing Network Forensic Analysis Tools (NFATs) fall short compared to File System Forensic Analysis Tools (FS FATs) in providing usable data. The analysis tends to focus upon IP addresses, which are not synonymous with user identities, a point of significant interest to investigators. This paper presents several experiments designed to create a novel NFAT approach that can identify users and understand how they are using network based applications whilst the traffic remains encrypted. The experiments build upon the prior art and investigate how effective this approach is in classifying users and their actions. Utilising an in-house dataset composed of 50 million packers, the experiments are formed of three incremental developments that assist in improving performance. Building upon the successful experiments, a proposed NFAT interface is presented to illustrate the ease at which investigators would be able to ask relevant questions of user interactions. The experiments profiled across 27 users, has yielded an average 93.3% True Positive Identification Rate (TPIR), with 41% of users experiencing 100% TPIR. Skype, Wikipedia and Hotmail services achieved a notably high level of recognition performance. The study has developed and evaluated an approach to analyse encrypted network traffic more effectively through the modelling of network traffic and to subsequently visualise these interactions through a novel network forensic analysis tool.

Amazon said on Wednesday that it's rolling out new online ordering methods for Prime members, including the ability to bundle standard orders and groceries in one same-day shipment. The company is also adding more combined Amazon / Whole Foods fulfillment centers and trialing a store where robots pack your Amazon orders while you shop for groceries. Customers there can shop "tens of thousands of grocery items" (including fresh ones) alongside regular Amazon orders for things like AirPods or Lego sets. The items will be bundled in one order and arrive together in a user-selected, same-day or overnight delivery window. The company plans to expand the combined same-day model to more areas after it tests and learns from the Phoenix trial.

On Thursday, history repeated itself on the shores of Plymouth. In 1620, English pilgrims arrived in North America on the Mayflower. Now, 402 years later, another ship with that name found its way to the Massachusetts coastline. The first Mayflower had more than 100 people on board, the modern version had zero. The Mayflower Autonomous Ship, designed by nautical research company Promare and IBM, completed its voyage from England almost entirely without human assistance.

A robotic recreation of the 17th century Mayflower ship has finally completed a 3,500 journey across the Atlantic Ocean, in 40 days. Mayflower Autonomous Ship (MAS) – a 50-foot-long autonomous research vessel piloted by artificial intelligence (AI) – arrived in Halifax, Canada on Sunday (June 5). MAS, which carried no humans on board and relied on artificial intelligence, had set sail from Turnchapel Wharf, Plymouth, England in the early hours of April 27. The ship was smooth sailing until the second week of May when a generator issue diverted it to Portugal's Azores islands so a team member could fly in to do repairs. During the latter stages of the journey the decision was made to head to Halifax – as opposed to Virginia as previously planned – due to more mechanical issues.

A groundbreaking AI-powered ship designed by IBM has successfully crossed the Atlantic, albeit not quite as planned. The Mayflower – named after the ship which carried Pilgrims from Plymouth, UK to Massachusetts, US in 1620 – is a 50-foot crewless vessel that relies on AI and edge computing to navigate the often harsh and unpredictable oceans. IBM's Mayflower has been attempting to autonomously complete the voyage that its predecessor did over 400 years ago but has been beset by various problems. The initial launch was planned for June 2021 but a number of technical glitches forced the vessel to return to Plymouth. Back in April 2022, the Mayflower set off again.

A robotic recreation of the 17th century Mayflower ship has set sail for US shores once more after a failed first attempt last year. Mayflower Autonomous Ship (MAS) – a 50-foot-long autonomous research vessel piloted by artificial intelligence (AI) – departed from Plymouth, England on Wednesday (April 27). If all goes to plan, the £1 million ($1.3 million) ship will reach Virginia in about three weeks, and in the process become the largest autonomous vessel to ever cross the Atlantic. With no humans on board the ship, it relies on AI to make decisions and look out for potential obstacles in the water. MAS was built to recreate the original Mayflower's historic journey from England to the New World more than 400 years ago.

The Mayflower had a few false starts before its trailblazing sea voyage to America more than 400 years ago. Now, its artificial intelligence-powered namesake is having some glitches of its own. A sleek robotic trimaran retracing the 1620 journey of the famous English vessel had to turn back Friday to fix a mechanical problem. Nonprofit marine research organization ProMare, which worked with IBM to build the autonomous ship, said it made the decision to return to base "to investigate and fix a minor mechanical issue" but hopes to be back on the trans-Atlantic journey as soon as possible. With no humans on board the ship, there's no one to make repairs while it's at sea.

IBM's fully-autonomous edge AI-powered ship Mayflower has set off on its crewless voyage from Plymouth, UK to Plymouth, USA. The ship is named after the Mayflower vessel which transported pilgrim settlers from Plymouth, England to Plymouth, Massachusetts in 1620. On its 400th anniversary, it was decided that a Mayflower for the 21st century should be built. Mayflower 2.0 is a truly modern vessel packed with the latest technological advancements. Onboard edge AI computing enables the ship to carry out scientific research while navigating the harsh environment of the ocean--often without any connectivity.

The world's first fully autonomous ship is set to make its maiden voyage across the Atlantic next month. Inspired by the ship that brought the Pilgrims to North America, 'Mayflower 400' will be guided by artificial intelligence rather than a human crew. If all goes well, it will depart from Plymouth, England on May 15 and arrive at Plymouth, Massachusetts, about 3,000 miles and two weeks later. The original Mayflower, which transported 102 Pilgrims and other passengers, took 10 weeks to reach its destination in 1620. Mayflower 400 was set to embark on its transatlantic cruise last September for the Mayflower's 400th anniversary, but was delayed because of the coronavirus pandemic.

An autonomous version of the historical Mayflower ship that's powered by artificial intelligence (AI) is set to make is maiden voyage across the Atlantic next month. On April 19, Mayflower Autonomous Ship (MAS) will depart from Plymouth, England and arrive at Plymouth, Massachusetts about 3,000 miles and two weeks later. The original ship, which transported 102 passengers known as the Pilgrims, took 10 weeks to reach its destination in the autumn of 1620. The new 50-foot ship, which won't carry any human passengers or even crew, will roughly take the same route as its predecessor. When they set sail from Plymouth, England, on September 16, 1620, the Pilgrims were escaping religious persecution and sought to establish a settlement in the New World.