| 33 | } |
| 34 | |
| 35 | fn one_path_algorithm<'graph, G: GraphViewOps<'graph>, CS: ComputeState>( |
| 36 | nf_e_edge_expl: EvalEdgeView<'graph, '_, G, CS, ()>, |
| 37 | no_time: bool, |
| 38 | ) -> usize { |
| 39 | // MATCH |
| 40 | // (E)<-[nf1:Netflow]-(B)<-[login1:Events2v]-(A), (B)<-[prog1:Events1v]-(B) |
| 41 | // WHERE A <> B AND B <> E AND A <> E |
| 42 | // AND login1.eventID = 4624 |
| 43 | // AND prog1.eventID = 4688 |
| 44 | // AND nf1.dstBytes > 100000000 |
| 45 | // // time constraints within each path |
| 46 | // AND login1.epochtime < prog1.epochtime |
| 47 | // AND prog1.epochtime < nf1.epochtime |
| 48 | // AND nf1.epochtime - login1.epochtime <= 30 |
| 49 | // RETURN count(*) |
| 50 | |
| 51 | let a_id = nf_e_edge_expl.src().id(); |
| 52 | let b_id = nf_e_edge_expl.dst().id(); |
| 53 | // First we remove any A->A edges, no cyclces allowed |
| 54 | if a_id == b_id { |
| 55 | return 0usize; |
| 56 | } |
| 57 | // for the netflow B we now look for all E edges that have the dstBytes Prop |
| 58 | let dst_bytes_val = nf_e_edge_expl |
| 59 | .properties() |
| 60 | .get("dstBytes") |
| 61 | .into_i64() |
| 62 | .unwrap_or(0); |
| 63 | // For the nf1 we filter any edges from B that do not have the byte size (<=1e8) |
| 64 | // we only watch B->E edges that are >1e8 |
| 65 | if dst_bytes_val <= 100000000 { |
| 66 | return 0usize; |
| 67 | } |
| 68 | |
| 69 | // Now we save the time of nf1 |
| 70 | let nf1_time = nf_e_edge_expl.time().map(|t| t.t()).unwrap_or_default(); |
| 71 | let mut time_bound = nf1_time.saturating_sub(30); |
| 72 | if no_time { |
| 73 | time_bound = 0; |
| 74 | } |
| 75 | |
| 76 | // Find all the login events satisfying the time constraint and count the program starts that fall in the window |
| 77 | let event_count = nf_e_edge_expl |
| 78 | .src() |
| 79 | .window(time_bound, nf1_time) |
| 80 | .layers("Events2v4624") |
| 81 | .into_iter() |
| 82 | .flat_map(|v| { |
| 83 | v.in_edges() |
| 84 | .iter() |
| 85 | .filter(|e| e.src().id() != a_id && e.src().id() != b_id) |
| 86 | .flat_map(|e| e.explode()) |
| 87 | }) |
| 88 | .flat_map(|login_exp| { |
| 89 | login_exp |
| 90 | .dst() |
| 91 | .window(login_exp.time().unwrap().t().saturating_add(1), nf1_time) |
| 92 | .layers("Events1v4688") |